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In [1]:

    
import pandas as pd
import glob
import xlrd
import io

path = glob.glob("Non_Candidate_files_2012/*")

book = xlrd.open_workbook("Non_Candidate_files_2012/RESTORE OUR FUTURE.5 (13499895577303).xls")
restore_our_future_2012_df = pd.io.excel.read_excel("/home/admin/Non_Candidate_files_2012/RESTORE OUR FUTURE.5 (13499895577303).xls", sheetname=0, header=7)
restore_our_future_2012_df









    Out[1]:






  
    
      
      Mod Code
      Buy Line
      Day/Time
      Length
      Rate
      Starting Date
      Ending Date
      # of Wks
      Spt/ Week
      Total Spots
      Total Dollars
      Program Name
      Rep: RA35+
      Last Activity
      Last Mod/Rev
    
  
  
    
      0 
      NaN
       ##CASH ##MENT
                               NaN
       NaN
         NaN
             NaT
             NaT
      NaN
      NaN
      NaN
         NaN
                     NaN
      NaN
                       NaN
             NaN
    
    
      1 
      NaN
                   1
                   Sa-Su/11-1135P 
       30S
        1500
      2012-10-13
      2012-10-14
        1
        2
        2
        3000
       LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      2 
      NaN
                   2
                       Sat/730-8P 
       30S
        1000
      2012-10-13
      2012-10-13
        1
        1
        1
        1000
                JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      3 
      NaN
                   3
                         Sun/7-8P 
       30S
        4000
      2012-10-14
      2012-10-14
        1
        1
        1
        4000
              60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      4 
      NaN
                   4
                       M-F/6-630A 
       30S
         400
      2012-10-15
      2012-10-19
        1
        5
        5
        2000
          NEWS 3 THIS AM
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      5 
      NaN
                   5
                        M-F/9-10A 
       30S
         400
      2012-10-15
      2012-10-19
        1
        5
        5
        2000
            LIVE W/KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      6 
      NaN
                   6
                    M-W,F/11A-12N 
       30S
        1000
      2012-10-15
      2012-10-19
        1
        4
        4
        4000
          PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      7 
      NaN
                   7
                  M,W-F/12N-1230P 
       30S
         600
      2012-10-15
      2012-10-19
        1
        4
        4
        2400
               NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      8 
      NaN
                   8
                 M-Tu,Th-F/5-530P 
       30S
        1000
      2012-10-15
      2012-10-19
        1
        4
        4
        4000
           NEWS 3 AT 5 P
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      9 
      NaN
                   9
                       M-F/530-6P 
       30S
        1000
      2012-10-15
      2012-10-19
        1
        5
        5
        5000
          NEWS 3 AT 530P
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      10
      NaN
                  10
                       M-F/6-630P 
       30S
        1500
      2012-10-15
      2012-10-19
        1
        5
        5
        7500
           NEWS 3 AT 6PM
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      11
      NaN
                  11
                       M-F/7-730P 
       30S
        2500
      2012-10-15
      2012-10-19
        1
        5
        5
       12500
                   WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      12
      NaN
                  12
                       M-F/730-8P 
       30S
        2500
      2012-10-15
      2012-10-19
        1
        5
        5
       12500
                JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      13
      NaN
                  13
                M-W,F-Sa/11-1135P 
       30S
        1500
      2012-10-15
      2012-10-20
        1
        5
        5
        7500
       LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      14
      NaN
                  14
                         Tue/8-9P 
       30S
        5000
      2012-10-16
      2012-10-16
        1
        1
        1
        5000
                NCIS-CBS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      15
      NaN
                  15
                       Wed/10-11P 
       30S
        3500
      2012-10-17
      2012-10-17
        1
        1
        1
        3500
                     CSI
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      16
      NaN
                  16
                       Fri/10-11P 
       30S
        4000
      2012-10-19
      2012-10-19
        1
        1
        1
        4000
             BLUE BLOODS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      17
      NaN
                  17
                       Sat/730-8P 
       30S
        1000
      2012-10-20
      2012-10-20
        1
        1
        1
        1000
                JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      18
      NaN
                  18
                         Sun/7-8P 
       30S
        4000
      2012-10-21
      2012-10-21
        1
        1
        1
        4000
              60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      19
      NaN
                  19
                       Mon/6-630A 
       30S
         400
      2012-10-22
      2012-10-22
        1
        1
        1
         400
         NEWS 3 THIS MRN
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      20
      NaN
                  20
                        Mon/9-10A 
       30S
         400
      2012-10-22
      2012-10-22
        1
        1
        1
         400
         LIVE WITH KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      21
      NaN
                  21
                      Mon/11A-12N 
       30S
        1000
      2012-10-22
      2012-10-22
        1
        1
        1
        1000
          PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      22
      NaN
                  22
                    Mon/12N-1230P 
       30S
         600
      2012-10-22
      2012-10-22
        1
        1
        1
         600
               NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      23
      NaN
                  23
                       Mon/5-530P 
       30S
        1000
      2012-10-22
      2012-10-22
        1
        1
        1
        1000
                 5P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      24
      NaN
                  24
                       Mon/530-6P 
       30S
        1000
      2012-10-22
      2012-10-22
        1
        1
        1
        1000
               530P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      25
      NaN
                  25
                       Mon/6-630P 
       30S
        1500
      2012-10-22
      2012-10-22
        1
        1
        1
        1500
                 6P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      26
      NaN
                  26
                       Mon/7-730P 
       30S
        2500
      2012-10-22
      2012-10-22
        1
        1
        1
        2500
                   WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      27
      NaN
                  27
                       Mon/730-8P 
       30S
        2500
      2012-10-22
      2012-10-22
        1
        1
        1
        2500
                JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      28
      NaN
                  28
                     Mon/11-1135P 
       30S
        1500
      2012-10-22
      2012-10-22
        1
        1
        1
        1500
                11P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
    
    
      29
      NaN
                 NaN
                               NaN
       NaN
         NaN
             NaT
             NaT
      NaN
      NaN
      NaN
         NaN
                     NaN
      NaN
                       NaN
             NaN
    
    
      30
      NaN
                 NaN
               Total 66 Spots for:
       NaN
       97300
             NaT
             NaT
      NaN
      NaN
       66
       97300
                     NaN
        0
                       NaN
             NaN
    
    
      31
      NaN
                 NaN
                               NaN
       NaN
         NaN
             NaT
             NaT
      NaN
      NaN
      NaN
         NaN
                     NaN
      NaN
                       NaN
             NaN
    
    
      32
      NaN
                 NaN
         Monthly Estimate Dollars:
       NaN
         NaN
             NaT
             NaT
      NaN
      NaN
      NaN
         NaN
                     NaN
      NaN
                       NaN
             NaN
    
    
      33
      NaN
                 NaN
                               NaN
       NaN
         NaN
             NaT
             NaT
      NaN
      NaN
      NaN
       97300
                  Oct/12
        0
                    Oct/12
             NaN



In [2]:

    
import pandas as pd
import glob

paths = glob.glob("Non_Candidate_files_2012/*")

advertiser_files= []
for path in paths:
    contents = open(path).read()
    contents = contents.decode("ascii", "ignore")
    contents = contents.lower()
    
    my_data = {}
    filename = path[20:] 
    df_name = filename[:-4] + '_df'
    my_data[df_name] = pd.io.excel.read_excel(path, sheetname=0, header=7)
    advertiser_files.append(my_data)

print len(advertiser_files)



In [3]:

    
import re
advertiser_file_list = []
advertiser_files_2012_df = pd.DataFrame()
for advertiser_file in advertiser_files:
    for key, value in advertiser_file.iteritems():
        temp = [key,value]
        advertiser_file_list.append(temp)
        advertiser_files_2012_df = pd.DataFrame(advertiser_file_list)



In [4]:

    
advertiser_files_2012_df.head()









    Out[4]:






  
    
      
      0
      1
    
  
  
    
      0
           2012/RESTORE OUR FUTURE.5 (13499895577303)_df
           Mod Code       Buy Line                   ...
    
    
      1
       2012/PROTECT WORKING FAMILY.4 (13510883292588)_df
            Mod Code       Buy Line                  ...
    
    
      2
                         2012/DIBC.6 (13479936694353)_df
           Mod Code                          Buy Line...
    
    
      3
              2012/CARE FOR MICHIGAN (13472857128655)_df
           Mod Code Buy Line                     Day/...
    
    
      4
              2012/PROTECT MI VOTE 3 (13464155038459)_df
           Mod Code         Buy Line                 ...



In [5]:

    
tuple_file = tuple(map(tuple, advertiser_files_2012_df.values))



In [6]:

    
tuple_file[4][1].ix[2]









    Out[6]:





Mod Code                         NaN
Buy Line                           1
Day/Time                 W-F/530-6A 
Length                           30S
Rate                             200
Starting Date    2012-08-29 00:00:00
Ending Date      2012-08-31 00:00:00
# of Wks                           1
Spt/ Week                          2
Total Spots                        2
Total Dollars                    400
Program Name              530AM NEWS
Rep: RA35+                       2.2
Last Activity    2012-08-29 00:00:00
Last Mod/Rev               Rev #2: S
Name: 2, dtype: object



In [7]:

    
list_test = []
for df_name, df_content in tuple_file:
    df_content['advertiser_name'] = df_name
    for index, row in df_content.iterrows():
        row_list = row.tolist()
        list_test.append(row_list)



In [8]:

    
list_test









    Out[8]:





[[nan,
  u'##CASH ##MENT',
  nan,
  nan,
  nan,
  NaT,
  NaT,
  nan,
  nan,
  nan,
  nan,
  nan,
  nan,
  nan,
  nan,
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  1,
  u'Sa-Su/11-1135P ',
  u'30S',
  1500.0,
  Timestamp('2012-10-13 00:00:00'),
  Timestamp('2012-10-14 00:00:00'),
  1.0,
  2.0,
  2.0,
  3000.0,
  u'LATE NEWS AT 11PM',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  2,
  u'Sat/730-8P ',
  u'30S',
  1000.0,
  Timestamp('2012-10-13 00:00:00'),
  Timestamp('2012-10-13 00:00:00'),
  1.0,
  1.0,
  1.0,
  1000.0,
  u'JEOPARDY',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  3,
  u'Sun/7-8P ',
  u'30S',
  4000.0,
  Timestamp('2012-10-14 00:00:00'),
  Timestamp('2012-10-14 00:00:00'),
  1.0,
  1.0,
  1.0,
  4000.0,
  u'60 MINUTES',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  4,
  u'M-F/6-630A ',
  u'30S',
  400.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  2000.0,
  u'NEWS 3 THIS AM',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  5,
  u'M-F/9-10A ',
  u'30S',
  400.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  2000.0,
  u'LIVE W/KELLY',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  6,
  u'M-W,F/11A-12N ',
  u'30S',
  1000.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  4.0,
  4.0,
  4000.0,
  u'PRICE IS RIGHT',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  7,
  u'M,W-F/12N-1230P ',
  u'30S',
  600.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  4.0,
  4.0,
  2400.0,
  u'NOON NEWS',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  8,
  u'M-Tu,Th-F/5-530P ',
  u'30S',
  1000.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  4.0,
  4.0,
  4000.0,
  u'NEWS 3 AT 5 P',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  9,
  u'M-F/530-6P ',
  u'30S',
  1000.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  5000.0,
  u'NEWS 3 AT 530P',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  10,
  u'M-F/6-630P ',
  u'30S',
  1500.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  7500.0,
  u'NEWS 3 AT 6PM',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  11,
  u'M-F/7-730P ',
  u'30S',
  2500.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  12500.0,
  u'WHEEL',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  12,
  u'M-F/730-8P ',
  u'30S',
  2500.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  5.0,
  5.0,
  12500.0,
  u'JEOPARDY',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  13,
  u'M-W,F-Sa/11-1135P ',
  u'30S',
  1500.0,
  Timestamp('2012-10-15 00:00:00'),
  Timestamp('2012-10-20 00:00:00'),
  1.0,
  5.0,
  5.0,
  7500.0,
  u'LATE NEWS AT 11PM',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  14,
  u'Tue/8-9P ',
  u'30S',
  5000.0,
  Timestamp('2012-10-16 00:00:00'),
  Timestamp('2012-10-16 00:00:00'),
  1.0,
  1.0,
  1.0,
  5000.0,
  u'NCIS-CBS',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  15,
  u'Wed/10-11P ',
  u'30S',
  3500.0,
  Timestamp('2012-10-17 00:00:00'),
  Timestamp('2012-10-17 00:00:00'),
  1.0,
  1.0,
  1.0,
  3500.0,
  u'CSI',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  16,
  u'Fri/10-11P ',
  u'30S',
  4000.0,
  Timestamp('2012-10-19 00:00:00'),
  Timestamp('2012-10-19 00:00:00'),
  1.0,
  1.0,
  1.0,
  4000.0,
  u'BLUE BLOODS',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  17,
  u'Sat/730-8P ',
  u'30S',
  1000.0,
  Timestamp('2012-10-20 00:00:00'),
  Timestamp('2012-10-20 00:00:00'),
  1.0,
  1.0,
  1.0,
  1000.0,
  u'JEOPARDY',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  18,
  u'Sun/7-8P ',
  u'30S',
  4000.0,
  Timestamp('2012-10-21 00:00:00'),
  Timestamp('2012-10-21 00:00:00'),
  1.0,
  1.0,
  1.0,
  4000.0,
  u'60 MINUTES',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  19,
  u'Mon/6-630A ',
  u'30S',
  400.0,
  Timestamp('2012-10-22 00:00:00'),
  Timestamp('2012-10-22 00:00:00'),
  1.0,
  1.0,
  1.0,
  400.0,
  u'NEWS 3 THIS MRN',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  20,
  u'Mon/9-10A ',
  u'30S',
  400.0,
  Timestamp('2012-10-22 00:00:00'),
  Timestamp('2012-10-22 00:00:00'),
  1.0,
  1.0,
  1.0,
  400.0,
  u'LIVE WITH KELLY',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  21,
  u'Mon/11A-12N ',
  u'30S',
  1000.0,
  Timestamp('2012-10-22 00:00:00'),
  Timestamp('2012-10-22 00:00:00'),
  1.0,
  1.0,
  1.0,
  1000.0,
  u'PRICE IS RIGHT',
  0.0,
  datetime.datetime(2012, 10, 11, 0, 0),
  u'Rev #0: A',
  '2012/RESTORE OUR FUTURE.5 (13499895577303)_df'],
 [nan,
  22,
  u'Mon/12N-1230P ',
  u'30S',
  600.0,
  Timestamp('2012-10-22 00:00:00'),
  Timestamp('2012-10-22 00:00:00'),
  1.0,
  1.0,
  1.0,
  600.0,
  u'NOON NEWS',
  0.0,
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  u'NEWSCHANNEL3 LIVE @530AM',
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  u'Fri/530-6P ',
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  datetime.datetime(2012, 9, 21, 0, 0),
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 ...]



In [9]:

    
non_candidate_2012_df = pd.DataFrame(list_test, columns = ['Mod_Code', 'Buy_Line', 'Day/Time', 'Length', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Advertiser_Name'])



In [10]:

    
non_candidate_2012_df









    Out[10]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name
    
  
  
    
      0   
       NaN
       ##CASH ##MENT
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      1   
       NaN
                   1
                    Sa-Su/11-1135P 
       30S
         1500
      2012-10-13
      2012-10-14
        1
        2
        2
         3000
        LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      2   
       NaN
                   2
                        Sat/730-8P 
       30S
         1000
      2012-10-13
      2012-10-13
        1
        1
        1
         1000
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      3   
       NaN
                   3
                          Sun/7-8P 
       30S
         4000
      2012-10-14
      2012-10-14
        1
        1
        1
         4000
               60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      4   
       NaN
                   4
                        M-F/6-630A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
           NEWS 3 THIS AM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      5   
       NaN
                   5
                         M-F/9-10A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
             LIVE W/KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      6   
       NaN
                   6
                     M-W,F/11A-12N 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
           PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      7   
       NaN
                   7
                   M,W-F/12N-1230P 
       30S
          600
      2012-10-15
      2012-10-19
        1
        4
        4
         2400
                NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      8   
       NaN
                   8
                  M-Tu,Th-F/5-530P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
            NEWS 3 AT 5 P
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      9   
       NaN
                   9
                        M-F/530-6P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        5
        5
         5000
           NEWS 3 AT 530P
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      10  
       NaN
                  10
                        M-F/6-630P 
       30S
         1500
      2012-10-15
      2012-10-19
        1
        5
        5
         7500
            NEWS 3 AT 6PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      11  
       NaN
                  11
                        M-F/7-730P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                    WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      12  
       NaN
                  12
                        M-F/730-8P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      13  
       NaN
                  13
                 M-W,F-Sa/11-1135P 
       30S
         1500
      2012-10-15
      2012-10-20
        1
        5
        5
         7500
        LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      14  
       NaN
                  14
                          Tue/8-9P 
       30S
         5000
      2012-10-16
      2012-10-16
        1
        1
        1
         5000
                 NCIS-CBS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      15  
       NaN
                  15
                        Wed/10-11P 
       30S
         3500
      2012-10-17
      2012-10-17
        1
        1
        1
         3500
                      CSI
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      16  
       NaN
                  16
                        Fri/10-11P 
       30S
         4000
      2012-10-19
      2012-10-19
        1
        1
        1
         4000
              BLUE BLOODS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      17  
       NaN
                  17
                        Sat/730-8P 
       30S
         1000
      2012-10-20
      2012-10-20
        1
        1
        1
         1000
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      18  
       NaN
                  18
                          Sun/7-8P 
       30S
         4000
      2012-10-21
      2012-10-21
        1
        1
        1
         4000
               60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      19  
       NaN
                  19
                        Mon/6-630A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          NEWS 3 THIS MRN
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      20  
       NaN
                  20
                         Mon/9-10A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          LIVE WITH KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      21  
       NaN
                  21
                       Mon/11A-12N 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
           PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      22  
       NaN
                  22
                     Mon/12N-1230P 
       30S
          600
      2012-10-22
      2012-10-22
        1
        1
        1
          600
                NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      23  
       NaN
                  23
                        Mon/5-530P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                  5P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      24  
       NaN
                  24
                        Mon/530-6P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                530P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      25  
       NaN
                  25
                        Mon/6-630P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                  6P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      26  
       NaN
                  26
                        Mon/7-730P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                    WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      27  
       NaN
                  27
                        Mon/730-8P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      28  
       NaN
                  28
                      Mon/11-1135P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                 11P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      29  
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7999
       NaN
                   1
                       Tu-F/5-530P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
              NEWS AT 5PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8000
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8001
       NaN
                   2
                       Tu-F/530-6P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
            NEWS AT 530PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8002
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8003
       NaN
                   3
                       Tu-F/6-630P 
       30S
         3500
      2012-10-30
      2012-11-02
        1
        4
        4
        14000
              NEWS AT 6PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8004
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8005
       NaN
                   4
                       Tu-F/7-730P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8006
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8007
       NaN
                   5
                       Tu-F/730-8P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8008
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8009
       NaN
                   6
                          Tue/8-9P 
       30S
         7000
      2012-10-30
      2012-10-30
        1
        1
        1
         7000
                     NCIS
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8010
       NaN
                   7
                         Thu/9-10P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
       PERSON OF INTEREST
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8011
       NaN
                   8
                        Thu/10-11P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
               ELEMENTARY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8012
       NaN
                   9
                        Sat/7-730P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8013
       NaN
                  10
                        Sat/730-8P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8014
       NaN
                  11
                         Sat/9-10P 
       30S
         2500
      2012-11-03
      2012-11-03
        1
        1
        1
         2500
                CRIMETIME
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8015
       NaN
                  12
                          Sun/1-4P 
       30S
         4000
      2012-11-04
      2012-11-04
        1
        2
        2
         8000
               NFL GAME 1
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8016
       NaN
                  13
                          Sun/4-7P 
       30S
         5000
      2012-11-04
      2012-11-04
        1
        1
        1
         5000
               NFL GAME 2
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8017
       NaN
                  14
                          Sun/7-8P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
               60 MINUTES
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8018
       NaN
                  15
                          Sun/8-9P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
             AMAZING RACE
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8019
       NaN
                  16
                        Mon/5-530P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
              NEWS AT 5PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8020
       NaN
                  17
                        Mon/530-6P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
            NEWS AT 530PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8021
       NaN
                  18
                        Mon/6-630P 
       30S
         3500
      2012-11-05
      2012-11-05
        1
        1
        1
         3500
              NEWS AT 6PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8022
       NaN
                  19
                        Mon/7-730P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8023
       NaN
                  20
                        Mon/730-8P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8024
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8025
       NaN
                 NaN
                Total 36 Spots for:
       NaN
       138000
             NaT
             NaT
      NaN
      NaN
       36
       138000
                      NaN
        0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8026
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8027
       NaN
                 NaN
          Monthly Estimate Dollars:
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8028
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
       138000
                   Nov/12
        0
                    Nov/12
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
  

8029 rows × 17 columns



In [11]:

    
none_advertiser_2012_df = non_candidate_2012_df[non_candidate_2012_df['Advertiser_Name'].isnull()]



In [12]:

    
#def fill_blanks(row1, row2, row3, row4):
#    if not row1:
#        (row1 == row2) and (row2 == row3) and (row3 == row4) and (row4 == 0.0)
        #return row1, row2, row3, row4
#    else: 
#        return row1, row2, row3, row4



In [13]:

    
#def fill_blanks(row1, row2):
#    if not row1:
#        (row1 == row2)
#        return row1, row2, row3, row4
#    else: 
#        return row1, row2



In [14]:

    
#fill_blanks(NaN, '1')



In [14]:



In [15]:

    
none_advertiser_2012_df









    Out[15]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name
    
  
  
    
      0   
       NaN
       ##CASH ##MENT
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      1   
       NaN
                   1
                    Sa-Su/11-1135P 
       30S
         1500
      2012-10-13
      2012-10-14
        1
        2
        2
         3000
        LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      2   
       NaN
                   2
                        Sat/730-8P 
       30S
         1000
      2012-10-13
      2012-10-13
        1
        1
        1
         1000
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      3   
       NaN
                   3
                          Sun/7-8P 
       30S
         4000
      2012-10-14
      2012-10-14
        1
        1
        1
         4000
               60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      4   
       NaN
                   4
                        M-F/6-630A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
           NEWS 3 THIS AM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      5   
       NaN
                   5
                         M-F/9-10A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
             LIVE W/KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      6   
       NaN
                   6
                     M-W,F/11A-12N 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
           PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      7   
       NaN
                   7
                   M,W-F/12N-1230P 
       30S
          600
      2012-10-15
      2012-10-19
        1
        4
        4
         2400
                NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      8   
       NaN
                   8
                  M-Tu,Th-F/5-530P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
            NEWS 3 AT 5 P
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      9   
       NaN
                   9
                        M-F/530-6P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        5
        5
         5000
           NEWS 3 AT 530P
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      10  
       NaN
                  10
                        M-F/6-630P 
       30S
         1500
      2012-10-15
      2012-10-19
        1
        5
        5
         7500
            NEWS 3 AT 6PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      11  
       NaN
                  11
                        M-F/7-730P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                    WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      12  
       NaN
                  12
                        M-F/730-8P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      13  
       NaN
                  13
                 M-W,F-Sa/11-1135P 
       30S
         1500
      2012-10-15
      2012-10-20
        1
        5
        5
         7500
        LATE NEWS AT 11PM
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      14  
       NaN
                  14
                          Tue/8-9P 
       30S
         5000
      2012-10-16
      2012-10-16
        1
        1
        1
         5000
                 NCIS-CBS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      15  
       NaN
                  15
                        Wed/10-11P 
       30S
         3500
      2012-10-17
      2012-10-17
        1
        1
        1
         3500
                      CSI
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      16  
       NaN
                  16
                        Fri/10-11P 
       30S
         4000
      2012-10-19
      2012-10-19
        1
        1
        1
         4000
              BLUE BLOODS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      17  
       NaN
                  17
                        Sat/730-8P 
       30S
         1000
      2012-10-20
      2012-10-20
        1
        1
        1
         1000
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      18  
       NaN
                  18
                          Sun/7-8P 
       30S
         4000
      2012-10-21
      2012-10-21
        1
        1
        1
         4000
               60 MINUTES
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      19  
       NaN
                  19
                        Mon/6-630A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          NEWS 3 THIS MRN
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      20  
       NaN
                  20
                         Mon/9-10A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          LIVE WITH KELLY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      21  
       NaN
                  21
                       Mon/11A-12N 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
           PRICE IS RIGHT
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      22  
       NaN
                  22
                     Mon/12N-1230P 
       30S
          600
      2012-10-22
      2012-10-22
        1
        1
        1
          600
                NOON NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      23  
       NaN
                  23
                        Mon/5-530P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                  5P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      24  
       NaN
                  24
                        Mon/530-6P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                530P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      25  
       NaN
                  25
                        Mon/6-630P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                  6P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      26  
       NaN
                  26
                        Mon/7-730P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                    WHEEL
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      27  
       NaN
                  27
                        Mon/730-8P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                 JEOPARDY
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      28  
       NaN
                  28
                      Mon/11-1135P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                 11P NEWS
        0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      29  
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
       None
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7999
       NaN
                   1
                       Tu-F/5-530P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
              NEWS AT 5PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8000
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8001
       NaN
                   2
                       Tu-F/530-6P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
            NEWS AT 530PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8002
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8003
       NaN
                   3
                       Tu-F/6-630P 
       30S
         3500
      2012-10-30
      2012-11-02
        1
        4
        4
        14000
              NEWS AT 6PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8004
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8005
       NaN
                   4
                       Tu-F/7-730P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8006
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8007
       NaN
                   5
                       Tu-F/730-8P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8008
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8009
       NaN
                   6
                          Tue/8-9P 
       30S
         7000
      2012-10-30
      2012-10-30
        1
        1
        1
         7000
                     NCIS
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8010
       NaN
                   7
                         Thu/9-10P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
       PERSON OF INTEREST
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8011
       NaN
                   8
                        Thu/10-11P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
               ELEMENTARY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8012
       NaN
                   9
                        Sat/7-730P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8013
       NaN
                  10
                        Sat/730-8P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8014
       NaN
                  11
                         Sat/9-10P 
       30S
         2500
      2012-11-03
      2012-11-03
        1
        1
        1
         2500
                CRIMETIME
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8015
       NaN
                  12
                          Sun/1-4P 
       30S
         4000
      2012-11-04
      2012-11-04
        1
        2
        2
         8000
               NFL GAME 1
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8016
       NaN
                  13
                          Sun/4-7P 
       30S
         5000
      2012-11-04
      2012-11-04
        1
        1
        1
         5000
               NFL GAME 2
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8017
       NaN
                  14
                          Sun/7-8P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
               60 MINUTES
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8018
       NaN
                  15
                          Sun/8-9P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
             AMAZING RACE
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8019
       NaN
                  16
                        Mon/5-530P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
              NEWS AT 5PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8020
       NaN
                  17
                        Mon/530-6P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
            NEWS AT 530PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8021
       NaN
                  18
                        Mon/6-630P 
       30S
         3500
      2012-11-05
      2012-11-05
        1
        1
        1
         3500
              NEWS AT 6PM
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8022
       NaN
                  19
                        Mon/7-730P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                    WHEEL
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8023
       NaN
                  20
                        Mon/730-8P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                 JEOPARDY
        0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8024
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8025
       NaN
                 NaN
                Total 36 Spots for:
       NaN
       138000
             NaT
             NaT
      NaN
      NaN
       36
       138000
                      NaN
        0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8026
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8027
       NaN
                 NaN
          Monthly Estimate Dollars:
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
    
      8028
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
       138000
                   Nov/12
        0
                    Nov/12
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
       None
    
  

6988 rows × 17 columns



In [16]:

    
none_advertiser_2012_df['Advertiser_Name'] = none_advertiser_2012_df['Last_Mod/Rev']









    



-c:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_index,col_indexer] = value instead



In [17]:

    
none_advertiser_2012_df['Last_Mod/Rev'] = none_advertiser_2012_df['Last_Activity']



In [18]:

    
none_advertiser_2012_df['Last_Activity'] = none_advertiser_2012_df['Rep:_RA35+']



In [19]:

    
none_advertiser_2012_df['Rep:_RA35+'] = 0.0



In [20]:

    
none_advertiser_2012_df









    Out[20]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name
    
  
  
    
      0   
       NaN
       ##CASH ##MENT
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      1   
       NaN
                   1
                    Sa-Su/11-1135P 
       30S
         1500
      2012-10-13
      2012-10-14
        1
        2
        2
         3000
        LATE NEWS AT 11PM
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      2   
       NaN
                   2
                        Sat/730-8P 
       30S
         1000
      2012-10-13
      2012-10-13
        1
        1
        1
         1000
                 JEOPARDY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      3   
       NaN
                   3
                          Sun/7-8P 
       30S
         4000
      2012-10-14
      2012-10-14
        1
        1
        1
         4000
               60 MINUTES
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      4   
       NaN
                   4
                        M-F/6-630A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
           NEWS 3 THIS AM
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      5   
       NaN
                   5
                         M-F/9-10A 
       30S
          400
      2012-10-15
      2012-10-19
        1
        5
        5
         2000
             LIVE W/KELLY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      6   
       NaN
                   6
                     M-W,F/11A-12N 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
           PRICE IS RIGHT
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      7   
       NaN
                   7
                   M,W-F/12N-1230P 
       30S
          600
      2012-10-15
      2012-10-19
        1
        4
        4
         2400
                NOON NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      8   
       NaN
                   8
                  M-Tu,Th-F/5-530P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        4
        4
         4000
            NEWS 3 AT 5 P
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      9   
       NaN
                   9
                        M-F/530-6P 
       30S
         1000
      2012-10-15
      2012-10-19
        1
        5
        5
         5000
           NEWS 3 AT 530P
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      10  
       NaN
                  10
                        M-F/6-630P 
       30S
         1500
      2012-10-15
      2012-10-19
        1
        5
        5
         7500
            NEWS 3 AT 6PM
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      11  
       NaN
                  11
                        M-F/7-730P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                    WHEEL
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      12  
       NaN
                  12
                        M-F/730-8P 
       30S
         2500
      2012-10-15
      2012-10-19
        1
        5
        5
        12500
                 JEOPARDY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      13  
       NaN
                  13
                 M-W,F-Sa/11-1135P 
       30S
         1500
      2012-10-15
      2012-10-20
        1
        5
        5
         7500
        LATE NEWS AT 11PM
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      14  
       NaN
                  14
                          Tue/8-9P 
       30S
         5000
      2012-10-16
      2012-10-16
        1
        1
        1
         5000
                 NCIS-CBS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      15  
       NaN
                  15
                        Wed/10-11P 
       30S
         3500
      2012-10-17
      2012-10-17
        1
        1
        1
         3500
                      CSI
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      16  
       NaN
                  16
                        Fri/10-11P 
       30S
         4000
      2012-10-19
      2012-10-19
        1
        1
        1
         4000
              BLUE BLOODS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      17  
       NaN
                  17
                        Sat/730-8P 
       30S
         1000
      2012-10-20
      2012-10-20
        1
        1
        1
         1000
                 JEOPARDY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      18  
       NaN
                  18
                          Sun/7-8P 
       30S
         4000
      2012-10-21
      2012-10-21
        1
        1
        1
         4000
               60 MINUTES
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      19  
       NaN
                  19
                        Mon/6-630A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          NEWS 3 THIS MRN
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      20  
       NaN
                  20
                         Mon/9-10A 
       30S
          400
      2012-10-22
      2012-10-22
        1
        1
        1
          400
          LIVE WITH KELLY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      21  
       NaN
                  21
                       Mon/11A-12N 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
           PRICE IS RIGHT
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      22  
       NaN
                  22
                     Mon/12N-1230P 
       30S
          600
      2012-10-22
      2012-10-22
        1
        1
        1
          600
                NOON NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      23  
       NaN
                  23
                        Mon/5-530P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                  5P NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      24  
       NaN
                  24
                        Mon/530-6P 
       30S
         1000
      2012-10-22
      2012-10-22
        1
        1
        1
         1000
                530P NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      25  
       NaN
                  25
                        Mon/6-630P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                  6P NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      26  
       NaN
                  26
                        Mon/7-730P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                    WHEEL
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      27  
       NaN
                  27
                        Mon/730-8P 
       30S
         2500
      2012-10-22
      2012-10-22
        1
        1
        1
         2500
                 JEOPARDY
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      28  
       NaN
                  28
                      Mon/11-1135P 
       30S
         1500
      2012-10-22
      2012-10-22
        1
        1
        1
         1500
                 11P NEWS
        0
       0
       2012-10-11 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      29  
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7999
       NaN
                   1
                       Tu-F/5-530P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
              NEWS AT 5PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8000
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8001
       NaN
                   2
                       Tu-F/530-6P 
       30S
         2000
      2012-10-30
      2012-11-02
        1
        4
        4
         8000
            NEWS AT 530PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8002
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8003
       NaN
                   3
                       Tu-F/6-630P 
       30S
         3500
      2012-10-30
      2012-11-02
        1
        4
        4
        14000
              NEWS AT 6PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8004
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8005
       NaN
                   4
                       Tu-F/7-730P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                    WHEEL
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8006
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8007
       NaN
                   5
                       Tu-F/730-8P 
       30S
         5000
      2012-10-30
      2012-11-02
        1
        4
        4
        20000
                 JEOPARDY
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8008
       NaN
                 NaN
       Contract Comment: 1X PER DAY
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8009
       NaN
                   6
                          Tue/8-9P 
       30S
         7000
      2012-10-30
      2012-10-30
        1
        1
        1
         7000
                     NCIS
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8010
       NaN
                   7
                         Thu/9-10P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
       PERSON OF INTEREST
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8011
       NaN
                   8
                        Thu/10-11P 
       30S
         6000
      2012-11-01
      2012-11-01
        1
        1
        1
         6000
               ELEMENTARY
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8012
       NaN
                   9
                        Sat/7-730P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                    WHEEL
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8013
       NaN
                  10
                        Sat/730-8P 
       30S
         2000
      2012-11-03
      2012-11-03
        1
        1
        1
         2000
                 JEOPARDY
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8014
       NaN
                  11
                         Sat/9-10P 
       30S
         2500
      2012-11-03
      2012-11-03
        1
        1
        1
         2500
                CRIMETIME
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8015
       NaN
                  12
                          Sun/1-4P 
       30S
         4000
      2012-11-04
      2012-11-04
        1
        2
        2
         8000
               NFL GAME 1
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8016
       NaN
                  13
                          Sun/4-7P 
       30S
         5000
      2012-11-04
      2012-11-04
        1
        1
        1
         5000
               NFL GAME 2
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8017
       NaN
                  14
                          Sun/7-8P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
               60 MINUTES
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8018
       NaN
                  15
                          Sun/8-9P 
       30S
         6000
      2012-11-04
      2012-11-04
        1
        1
        1
         6000
             AMAZING RACE
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8019
       NaN
                  16
                        Mon/5-530P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
              NEWS AT 5PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8020
       NaN
                  17
                        Mon/530-6P 
       30S
         2000
      2012-11-05
      2012-11-05
        1
        1
        1
         2000
            NEWS AT 530PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8021
       NaN
                  18
                        Mon/6-630P 
       30S
         3500
      2012-11-05
      2012-11-05
        1
        1
        1
         3500
              NEWS AT 6PM
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8022
       NaN
                  19
                        Mon/7-730P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                    WHEEL
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8023
       NaN
                  20
                        Mon/730-8P 
       30S
         5000
      2012-11-05
      2012-11-05
        1
        1
        1
         5000
                 JEOPARDY
        0
       0
       2012-10-23 00:00:00
       Rev #0: A
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8024
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8025
       NaN
                 NaN
                Total 36 Spots for:
       NaN
       138000
             NaT
             NaT
      NaN
      NaN
       36
       138000
                      NaN
        0
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8026
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8027
       NaN
                 NaN
          Monthly Estimate Dollars:
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
          NaN
                      NaN
      NaN
       0
                       NaN
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
    
      8028
       NaN
                 NaN
                                NaN
       NaN
          NaN
             NaT
             NaT
      NaN
      NaN
      NaN
       138000
                   Nov/12
        0
       0
                    Nov/12
             NaN
       2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
  

6988 rows × 17 columns



In [21]:

    
non_candidate_2012_df[non_candidate_2012_df['Advertiser_Name'].isnull()] = none_advertiser_2012_df



In [22]:

    
non_candidate_2012_df['Rep:_RA35+'].value_counts()









    Out[22]:





0.0    6998
2.5      35
1.5      33
2.3      23
1.9      21
2.0      21
1.6      18
2.6      18
3.5      16
3.0      14
5.2      13
5.5      11
1.0      10
2.7      10
4.9      10
...
90.5     1
7.4      1
11.4     1
4.5      1
4.6      1
8.5      1
14.0     1
260.0    1
143.0    1
12.2     1
0.7      1
13.9     1
8.8      1
237.8    1
3.7      1
Length: 80, dtype: int64



In [23]:

    
len(non_candidate_2012_df)









    Out[23]:





8029



In [24]:

    
import re
def clean_totals(row_df):
    temp_string = str(row_df)
    total_sub = re.sub(r"(.*Total )(.*)$", r"", temp_string)
    if total_sub:
        return total_sub
        return temp_string



In [25]:

    
clean_totals("   Total babe in the place                  .lclcijef9871209  dkdk")



In [26]:

    
import re
for index, row in non_candidate_2012_df.iterrows():
    temp_string = str(row['Day/Time'])
    re.sub(r"(.*Total )(.*)$", r" ", temp_string)
    print temp_string









    



nan
Sa-Su/11-1135P 
Sat/730-8P 
Sun/7-8P 
M-F/6-630A 
M-F/9-10A 
M-W,F/11A-12N 
M,W-F/12N-1230P 
M-Tu,Th-F/5-530P 
M-F/530-6P 
M-F/6-630P 
M-F/7-730P 
M-F/730-8P 
M-W,F-Sa/11-1135P 
Tue/8-9P 
Wed/10-11P 
Fri/10-11P 
Sat/730-8P 
Sun/7-8P 
Mon/6-630A 
Mon/9-10A 
Mon/11A-12N 
Mon/12N-1230P 
Mon/5-530P 
Mon/530-6P 
Mon/6-630P 
Mon/7-730P 
Mon/730-8P 
Mon/11-1135P 
nan
  Total 66 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/8-9P 
Contract Comment: HOW I MET MTHR/PARTNERS
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/4-7P 
Contract Comment: FOOTBALL
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/8-9P 
Contract Comment: BIG BANG/TWO & HALF MEN
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
nan
Contract Comment: CBS THS MRNG-2<
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Wed/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 85 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/630-7A 
Contract Comment: NEWS
Fri/8-9P 
Contract Comment: UNDERCOVER BOSS
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/630-7A 
Contract Comment: NEWS
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/8-9P 
Contract Comment: COMEDY TIME
Sat/9-10P 
Contract Comment: CRIMETIME
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Sun/630-7P 
Contract Comment: NEWS
Sun/7-8P 
Contract Comment: 60 MINUTES
Thu/10-11P 
Contract Comment: PERSON OF INTEREST
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/630-7A 
Contract Comment: NEWS
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/630-7A 
Contract Comment: NEWS
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/630-7A 
Contract Comment: NEWS
nan
  Total 30 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/6-630A 
Tue/630-7A 
Wed/630-7A 
Thu/630-7A 
Fri/630-7A 
Mon/630-7A 
Sat/9-11A 
Sun/9-1030A 
Sun/1030-11A 
Wed/9-10A 
Fri/9-10A 
Mon/9-10A 
Wed/5-530P 
Fri/5-530P 
Mon/5-530P 
Tue/530-6P 
Thu/530-6P 
Mon/530-6P 
Wed/6-630P 
Mon/6-630P 
Sat/7-730P 
Wed/7-730P 
Thu/7-730P 
Fri/7-730P 
Mon/7-730P 
Tue/730-8P 
Wed/730-8P 
Thu/730-8P 
Mon/730-8P 
Sat/730-8P 
Mon/8-9P 
Tue/9-10P 
Thu/10-11P 
Tue/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sun/11-1135P 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 48 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
W-F/530-6A 
W-F/6-630A 
W-F/630-7A 
W-F/7-9A 
W-F/9-10A 
W-F/11A-12N 
W-F/12N-1230P 
W-F/5-530P 
W-F/530-6P 
W-F/6-630P 
W-F/630-7P 
W-F/7-730P 
W-F/730-8P 
Sun/7-8P 
Sat/9-10P 
W-F/11-1135P 
W-F/1135P-1235A 
Sun/9-1030A 
Sat/730-8P 
Mon/530-6A 
Mon/6-630A 
Mon/7-9A 
Mon/9-10A 
Mon/11A-12N 
Mon/12N-1230P 
Mon/5-530P 
Mon/6-630P 
Mon/630-7P 
Mon/7-730P 
Mon/11-1135P 
Mon/1135P-1235A 
nan
  Total 53 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/4-5P 
Contract Comment: ANDERSON
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/4-5P 
Contract Comment: ANDERSON
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/4-5P 
Contract Comment: ANDERSON
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/4-5P 
Contract Comment: ANDERSON
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/4-5P 
Contract Comment: ANDERSON
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
nan
  Total 25 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: LETTERMAN
Fri/430-459A 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/430-459A 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1135P-1235A 
Contract Comment: LEVERAGE
Sun/630-7P 
Contract Comment: NEWS
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Thu/430-459A 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/1135P-1235A 
Contract Comment: LETTERMAN
Tue/430-459A 
Contract Comment: NEWS
Tue/530-6A 
Contract Comment: NEWS
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Wed/430-459A 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 37 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/4-5P 
Contract Comment: ANDERSON
Fri/630-7P 
Contract Comment: CBS EVE NWS
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/730-8P 
Contract Comment: JEOPARDY<
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Sat/3-330P 
Contract Comment: COLLEGE FOOTBALL TODAY
Sun/7-8P 
Contract Comment: 60 MINUTES
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/630-7P 
Contract Comment: CBS EVE NWS
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
nan
  Total 30 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 64 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/8-9P 
Contract Comment: AMAZING RACE
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11P 
Contract Comment: VEGAS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 79 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
nan
  Total 38 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/3-330P 
Contract Comment: COLLEGE FOOTBALL TODAY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
nan
  Total 42 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-730P 
Contract Comment: WHEEL OF FORTUNE
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/730-8P 
Contract Comment: JEOPARDY
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 4- 9/30/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/730-8P 
Contract Comment: JEOPARDY
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/3-4P 
Contract Comment: ANDERSON COOPER
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Tue/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Tue/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Tue/7-730P 
Contract Comment: WHEEL OF FORTUNE
Tue/7-9A 
Contract Comment: CBS THIS MORNING
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 86 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: LETTERMAN
Fri/5-530A 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/630-7A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/5-530A 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/630-7A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1135P-1235A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Thu/5-530A 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/630-7A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/1135P-1235A 
Contract Comment: LETTERMAN
Tue/5-530A 
Contract Comment: NEWS
Tue/530-6A 
Contract Comment: NEWS
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/630-7A 
Contract Comment: NEWS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Wed/5-530A 
Contract Comment: NEWS
Wed/5-530P 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 39 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Fri/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Mon/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Sun/9-10P 
Contract Comment: THE GOOD WIFE
nan
  Total 65 Spots for:
nan
  Monthly Estimate Dollars:
nan
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
nan
nan
Tu-F/6-630A 
Tu-F/9-10A 
Tu-F/12N-1230P 
Tu-F/5-530P 
Tu-F/6-630P 
Tu-F/630-7P 
Tu-F/7-730P 
Tu-F/11-1135P 
Tu-F/1135P-1235A 
Sun/9-1030A 
Sun/1-430P 
M-Tu/6-630A 
M-Tu/12N-1230P 
M-Tu/5-530P 
M-Tu/6-630P 
M-Tu/630-7P 
M-Tu/11-1135P 
M-Tu/9-10A 
M-Tu/7-730P 
nan
  Total 45 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: LETTERMAN
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/430-459A 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/630-7A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/430-459A 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/630-7A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-10P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Sun/630-7P 
Contract Comment: NEWS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/430-459A 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/630-7A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/1135P-1235A 
Contract Comment: LETTERMAN
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/430-459A 
Contract Comment: NEWS
Tue/530-6A 
Contract Comment: NEWS
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/630-7A 
Contract Comment: NEWS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/430-459A 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/630-7A 
Contract Comment: NEWS
Wed/8-9P 
Contract Comment: SURVIVOR
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 50 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Fri/530-6P 
Contract Comment: NWSCH3LIV5:30P
Fri/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/8-9P 
Contract Comment: UNDERCOVER BOSS
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/11-1135P 
Contract Comment: NWSCHNL311AT11<
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Mon/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Mon/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/6-630P 
Contract Comment: LOCAL NEWS
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-10P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/11-1135P 
Contract Comment: NWSCHNL311AT11<
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Thu/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Thu/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/11-1135P 
Contract Comment: NWSCHNL311AT11<
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Tue/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Wed/530-6P 
Contract Comment: NWSCH3LIV5:30P
Wed/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 69 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/730-8P 
Contract Comment: JEOPARDY<
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10P 
Contract Comment: 2 BROKE GIRLS /MIKE&MOLLY
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/3-330P 
Contract Comment: COLLEGE FOOTBALL TODAY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Sun/9-10P 
Contract Comment: THE GOOD WIFE
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/10-11P 
Contract Comment: CSI
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/730-8P 
Contract Comment: JEOPARDY<
nan
  Total 73 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/530-6A 
Thu/530-6A 
Mon/530-6A 
Mon/8-9P 
nan
  Total 4 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tu-F/9-10A 
Tu-F/11A-12N 
Tu-F/12N-1230P 
Tu-F/2-3P 
Tu-Th/3-4P 
Tu-Th/4-5P 
Tu-F/5-6P 
Tu-F/6-630P 
Tu-F/7-730P 
Tu-F/730-8P 
Tu,Th,Su/11-1135P 
Sat/9-11A 
Sat/7-730P 
Sat/730-8P 
Sun/9-1030A 
Sun/1030-11A 
Mon/9-10P 
Wed/8-9P 
Wed/9-10P 
Thu/9-10P 
Tu-F/6-7A 
Tu-F/7-9A 
Tu-F/630-7P 
Mon/9-10A 
Mon/12N-1230P 
Mon/3-4P 
Mon/4-5P 
Mon/6-7A 
Mon/7-9A 
nan
  Total 56 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/730-8P 
Contract Comment: JEOPARDY<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/10-11P 
Contract Comment: VEGAS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 66 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
nan
  Total 12 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
F-Su/11-1130P 
M-Tu/11-1130P 
Fri/6-630A 
M-Tu/6-630A 
Fri/630-7A 
M-Tu/630-7A 
Fri/7-9A 
M-Tu/7-9A 
Fri/9-10A 
M-Tu/9-10A 
Fri/12N-1230P 
M-Tu/12N-1230P 
Mon/2-3P 
Fri/3-4P 
M-Tu/3-4P 
Fri/4-5P 
Tue/4-5P 
Fri/5-6P 
M-Tu/5-6P 
Fri/6-630P 
M-Tu/6-630P 
Fri/630-7P 
M-Tu/630-7P 
Fri/7-730P 
M-Tu/7-730P 
M-Tu/730-8P 
Sun/9-1030A 
Sun/7-8P 
nan
  Total 42 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/530-6A 
Mon/530-6A 
Tu-F/6-630A 
Mon/6-630A 
Tu-F/630-7A 
Tu-F/7-9A 
Mon/7-9A 
Sat/9-11A 
Sun/9-1030A 
Tu-F/9-10A 
Mon/9-10A 
Tu-F/10-11A 
Mon/10-11A 
Tu-F/12N-1230P 
Mon/12N-1230P 
Tu-F/1230-2P 
Mon/1230-2P 
Tu-F/3-4P 
Mon/3-4P 
Tu-F/4-5P 
Mon/4-5P 
Tu-F/530-6P 
Mon/530-6P 
Tu-F/6-630P 
Mon/6-630P 
Sun/630-7P 
Sat/7-730P 
Thu/10-11P 
Tu-F/1135P-1235A 
Tu-F/1235-135A 
Mon/1235-135A 
Sun/1130P-1230A 
Mon/1135P-1235A 
nan
  Total 64 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/5-530A 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/5-530A 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
nan
Contract Comment: CRIMINAL MINDS
Sat/1135-1235A 
This is a make-good for Oct27 on line-11 for 1 spot/wk
This is a make-good for Nov03 on line-11 for 1 spot/wk
Order Comment: PLEASE CORRECT PROGRAM
Sat/1135-1235A 
Part of a makegood made up of lines 42-43
Order Comment: PLEASE CORRECT PROGRAM
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sun/1135P-1235A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS
Sun/9-1030A 
Contract Comment: CBS THIS MORNING SUN
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/5-530A 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/5-530A 
Contract Comment: NEWS
Tue/530-6A 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/5-530A 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
W-F/1230-2P 
Contract Comment: PM SOAP ROTATION
W-F/5-530A 
Contract Comment: NEWS
W-F/530-6A 
Contract Comment: NEWS
W-F/6-630A 
Contract Comment: NEWS
W-F/9-10A 
Contract Comment: LIVE WITH KELLY
W-F/1230-2P 
Contract Comment: PM SOAP ROTATION
W-F/5-530A 
Contract Comment: NEWS
W-F/530-6A 
Contract Comment: NEWS
W-F/6-630A 
Contract Comment: NEWS
W-F/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 71 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/6-630A 
Wed/630-7A 
Thu/630-7A 
Fri/630-7A 
Mon/630-7A 
Mon/7-9A 
Sat/9-11A 
Sun/9-1030A 
Sun/1030-11A 
Wed/12N-1230P 
Fri/12N-1230P 
Wed/6-630P 
Thu/6-630P 
Sat/7-730P 
Thu/7-730P 
Wed/730-8P 
Fri/730-8P 
Sat/730-8P 
Sat/10-11P 
Sun/7-8P 
Wed/11-1135P 
Thu/11-1135P 
Sun/11-1135P 
Mon/11-1135P 
Wed/1135P-1235A 
Thu/1135P-1235A 
Mon/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 31 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7P 
Contract Comment: CBS EVE NWS
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/8-9P 
Contract Comment: AMAZING RACE
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7P 
Contract Comment: CBS EVE NWS
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7P 
Contract Comment: CBS EVE NWS
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 83 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/530-6A 
Wed/530-6A 
Thu/530-6A 
Fri/530-6A 
Mon/530-6A 
Tue/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/6-630A 
Tue/630-7A 
Wed/630-7A 
Thu/630-7A 
Fri/630-7A 
Mon/630-7A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Mon/7-9A 
Sun/9-1030A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/9-10A 
Tue/12N-1230P 
Wed/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Tue/5-530P 
Wed/5-530P 
Thu/5-530P 
Fri/5-530P 
Mon/5-530P 
Tue/530-6P 
Wed/530-6P 
Thu/530-6P 
Fri/530-6P 
Mon/530-6P 
Tue/7-730P 
Wed/7-730P 
Thu/7-730P 
Fri/7-730P 
Mon/7-730P 
Tue/730-8P 
Wed/730-8P 
Thu/730-8P 
Fri/730-8P 
Thu/9-10P 
Thu/10-11P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1135P-1235A 
nan
  Total 68 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Wed/5-530A 
Fri/5-530A 
Tue/9-10A 
Mon/9-10A 
Sat/9-11A 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/4-5P 
Wed/8-9P 
Thu/8-9P 
Sun/4-7P 
nan
  Total 14 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
W-F/530-6A 
Mon/530-6A 
Sun/630-7P 
Sat/6-630P 
nan
  Total 6 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
W-Su/11-1135P 
Contract Comment: 1X PER DAY
M-Tu/11-1135P 
Contract Comment: 1X PER DAY
W-F/6-7A 
Contract Comment: 1X PER DAY
M-Tu/6-7A 
Contract Comment: 1X PER DAY
W,F/7-9A 
Contract Comment: 1X PER DAY
Mon/7-9A 
W,F/12N-1230P 
Contract Comment: 1X PER DAY
Mon/12N-1230P 
Thu/3-4P 
Mon/3-4P 
W-F/5-530P 
Contract Comment: 1X PER DAY
M-Tu/5-530P 
Contract Comment: 1X PER DAY
W-F/530-6P 
Contract Comment: 1X PER DAY
M-Tu/530-6P 
Contract Comment: 1X PER DAY
W-F/6-630P 
Contract Comment: 1X PER DAY
M-Tu/6-630P 
Contract Comment: 1X PER DAY
W,F/630-7P 
Contract Comment: 1X PER DAY
Mon/630-7P 
W,F/7-730P 
Contract Comment: 1X PER DAY
Mon/7-730P 
Thu/730-8P 
Tue/730-8P 
Sat/6-630P 
Sun/9-1030A 
Sun/7-8P 
nan
  Total 46 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/6-630P 
Contract Comment: NEWS
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/6-630P 
Contract Comment: NEWS
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sun/9-1030A 
Contract Comment: CBS THIS MORNING SUN
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/6-630P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
nan
  Total 14 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/10-11P 
Contract Comment: THE MENTALIST
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
nan
Contract Comment: CBS THS MRNG-2<
Tue/8-9P 
Contract Comment: NCIS
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
nan
  Total 28 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/9-10A 
Contract Comment: 1X PER DAY
Tu-F/12N-1230P 
Contract Comment: 1X PER DAY
Tu-F/3-4P 
Contract Comment: 1X PER DAY
Tu-F/5-630P 
Contract Comment: 1X PER DAY
Tu-F/530-6P 
Contract Comment: 1X PER DAY
Tu-F/6-630P 
Contract Comment: 1X PER DAY
W,F/630-7P 
Contract Comment: 1X PER DAY
Tu-F/7-730P 
Contract Comment: 2X PER DAY
Tu,Th/11-1135P 
Contract Comment: 1X PER DAY
Tue/8-9P 
Tue/9-10P 
Tue/10-11P 
Wed/9-10P 
Thu/10-11P 
Sat/7-730P 
Sat/730-8P 
Sun/630-7P 
Sun/7-8P 
Mon/9-10A 
Mon/12N-1230P 
Mon/3-4P 
Mon/5-530P 
Mon/530-6P 
Mon/6-630P 
Mon/630-7P 
Mon/7-730P 
Mon/11-1135P 
nan
  Total 60 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tu-F/6-630P 
Contract Comment: 1X PER DAY
M-Th/6-630P 
Contract Comment: 1X PER DAY
nan
  Total 8 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/10-11P 
Contract Comment: BLUE BLOODS
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/7-730P 
Contract Comment: WHEEL OF FORTUNE
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Fri/730-8P 
Contract Comment: JEOPARDY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/12N-1230P 
Contract Comment: NEWS3 AT NOON
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/5-6A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/5-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sat/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE @6PM SATURDAY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sat/730-8P 
Contract Comment: JEOPARDY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sun/1030-11A 
Contract Comment: FACE THE NATION
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sun/7-8P 
Contract Comment: 60 MINUTES
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/630-7P 
Contract Comment: CBS EVENING NEWS
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/730-8P 
Contract Comment: JEOPARDY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/730-8P 
Contract Comment: JEOPARDY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/10-11P 
Contract Comment: C.S.I.
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/5-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/7-730P 
Contract Comment: WHEEL OF FORTUNE
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Order Comment: ELEMENT AT POSTION 1 IN DAYDETAILEDPERIOD IS RATE
nan
  Total 62 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/6-630A 
M-Tu/6-630A 
Fri/630-7A 
M-Tu/630-7A 
Fri/7-9A 
M-Tu/7-9A 
Fri/12N-1230P 
M-Tu/12N-1230P 
Fri/3-4P 
M-Tu/3-4P 
Fri/4-5P 
M-Tu/4-5P 
Fri/5-6P 
M-Tu/5-6P 
Fri/6-630P 
M-Tu/6-630P 
Fri/7-730P 
M-Tu/730-8P 
Sat/730-8P 
nan
  Total 27 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Mon/5-530A 
Thu/5-530A 
Fri/5-530A 
Mon/530-6A 
Wed/530-6A 
Thu/530-6A 
Fri/530-6A 
Mon/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/630-7A 
Thu/630-7A 
Wed/7-9A 
Fri/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Wed/10-11A 
Fri/10-11A 
Mon/12N-1230P 
Wed/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Mon/1230-2P 
Thu/1230-2P 
Wed/3-4P 
Fri/3-4P 
Mon/4-5P 
Thu/4-5P 
Mon/5-530P 
Wed/5-530P 
Thu/5-530P 
Fri/5-530P 
Mon/530-6P 
Wed/530-6P 
Thu/530-6P 
Fri/530-6P 
Mon/6-630P 
Wed/6-630P 
Thu/6-630P 
Fri/6-630P 
Wed/630-7P 
Fri/630-7P 
Sat/6-630P 
Mon/7-730P 
Thu/7-730P 
Wed/730-8P 
Fri/730-8P 
Sat/7-730P 
Sat/730-8P 
Wed/8-9P 
Thu/10-11P 
Fri/10-11P 
Sat/9-10P 
Sun/7-8P 
Mon/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Mon/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1235-135A 
Wed/1235-135A 
Fri/1235-135A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 75 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/530-6A 
Mon/6-630A 
Thu/6-630A 
Fri/630-7A 
Mon/7-9A 
Thu/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/10-11A 
Thu/10-11A 
Fri/10-11A 
Fri/11A-12N 
Mon/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Mon/1230-2P 
Thu/1230-2P 
Fri/2-3P 
Mon/3-4P 
Thu/3-4P 
Fri/3-4P 
Mon/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/5-530P 
Thu/5-530P 
Mon/530-6P 
Fri/530-6P 
Mon/6-630P 
Thu/6-630P 
Sat/6-630P 
Fri/7-730P 
Mon/730-8P 
Thu/730-8P 
Sat/7-730P 
Sat/730-8P 
Thu/9-10P 
Sat/8-9P 
Fri/11-1135P 
Sun/11-1135P 
Mon/1135P-1235A 
Thu/1135P-1235A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 51 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Th-F,Su/11-1135P 
Contract Comment: 1X PER DAY
M-Tu/11-1135P 
Contract Comment: 1X PER DAY
W-F/9-10A 
Contract Comment: 1X PER DAY
Mon/9-10A 
Contract Comment: 1X PER DAY
W-F/12N-1230P 
Tue/12N-1230P 
W,F/1230-2P 
Contract Comment: 1X PER DAY
Mon/1230-2P 
Contract Comment: 1X PER DAY
Mon/5-6P 
W,F/6-630P 
Contract Comment: 1X PER DAY
Thu/7-730P 
Tue/7-730P 
W,F/730-8P 
Contract Comment: 1X PER DAY
Mon/730-8P 
Sat/330-7P 
Sun/9-1030A 
Sun/7-8P 
M-Tu/6-630P 
Contract Comment: 1X PER DAY
nan
  Total 27 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
W-F/6-630A 
W-F/630-7A 
W-F/7-9A 
W-F/9-10A 
W-F/11A-12N 
W-F/12N-1230P 
W-F/5-530P 
W-F/530-6P 
W-F/6-630P 
W-F/7-730P 
W-F/730-8P 
W-Su/11-1135P 
Thu/10-11P 
Fri/10-11P 
Sat/7-730P 
Sat/730-8P 
Sat/9-10P 
Sat/10-11P 
Sun/7-8P 
M-Tu/6-630A 
M-Tu/630-7A 
M-Tu/7-9A 
M-Tu/9-10A 
M-Tu/11A-12N 
M-Tu/12N-1230P 
M-Tu/5-530P 
M-Tu/530-6P 
M-Tu/6-630P 
M-Tu/7-730P 
M-Tu/730-8P 
M-Tu/11-1135P 
Tue/8-9P 
Tue/9-10P 
nan
  Total 70 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 4- 9/30/12
Sun/1-4P 
Contract Comment: NFL GAME WEEK 5- 10/7/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/10-11P 
Contract Comment: PERSON OF INTEREST LTC. 9/20
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/10-11P 
Contract Comment: CSI
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Tue/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Tue/12N-1230P 
Contract Comment: NEWS3 AT NOON
Tue/3-4P 
Contract Comment: ANDERSON COOPER
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Tue/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Tue/630-7P 
Contract Comment: CBS EVENING NEWS
Tue/7-9A 
Contract Comment: CBS THIS MORNING
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 87 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/430-459A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Fri/530-6A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Fri/530-6P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Fri/6-630A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Mon/11-1135P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Mon/530-6P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Mon/630-7A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Contract Comment: BOOKEND 15'S
Sat/6-630P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Contract Comment: BOOKEND 15'S
Sat/730-8P 
Contract Comment: JEOPARDY
Contract Comment: BOOKEND 15'S
Sun/1030-11A 
Contract Comment: FACE THE NATION
Contract Comment: BOOKEND 15'S
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Contract Comment: BOOKEND 15'S
Thu/11-1135P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Contract Comment: BOOKEND 15'S
Thu/530-6A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Thu/530-6P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Contract Comment: BOOKEND 15'S
Tue/1135P-1235A 
Contract Comment: LETTERMAN
Contract Comment: BOOKEND 15'S
Tue/430-459A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Tue/530-6A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Tue/530-6P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Tue/630-7A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Tue/7-730P 
Contract Comment: WHEEL OF FORTUNE
Contract Comment: BOOKEND 15'S
Wed/11-1135P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Contract Comment: BOOKEND 15'S
Wed/430-459A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Wed/530-6P 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Wed/6-630A 
Contract Comment: NEWS
Contract Comment: BOOKEND 15'S
Wed/7-730P 
Contract Comment: WHEEL OF FORTUNE
Contract Comment: BOOKEND 15'S
nan
  Total 60 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Sat/9-11A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/9-10A 
Mon/12N-1230P 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/4-5P 
Wed/6-630P 
Thu/6-630P 
Mon/730-8P 
Sat/730-8P 
Tue/8-9P 
nan
  Total 18 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Tu-F/1135P-1235A 
Contract Comment: LETTERMAN
Tu-F/1230-2P 
Contract Comment: PM SOAP ROTATION
Tu-F/4-5P 
Contract Comment: DR. PHIL
Tu-F/6-630P 
Contract Comment: 6P NEWS
Tu-F/7-730P 
Contract Comment: WHEEL OF FORTUNE
Tu-F/7-9A 
Contract Comment: CBS THIS MORNING
Tu-F/730-8P 
Contract Comment: JEOPARDY
nan
  Total 17 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/3-330P 
Contract Comment: COLLEGE FOOTBALL TODAY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/8-9P 
Contract Comment: SURVIVOR
nan
  Total 34 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-730P 
Contract Comment: WHEEL OF FORTUNE
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/12N-1230P 
Contract Comment: NEWS3 AT NOON
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 4- 9/30/12
Sun/1-4P 
Contract Comment: NFL GAME WEEK 5- 10/7/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/10-11P 
Contract Comment: PERSON OF INTEREST LTC. 9/20
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/12N-1230P 
Contract Comment: NEWS3 AT NOON
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-730P 
Contract Comment: WHEEL OF FORTUNE
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 87 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
nan
  Total 28 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Th-F/7-730P 
Contract Comment: 1X PER DAY
Sat/7-730P 
Mon/7-730P 
nan
  Total 4 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/5-530A 
Mon/5-530A 
Tu-F/530-6A 
Mon/5-530A 
Tu-F/630-7A 
Mon/630-7A 
Sat/9-11A 
Sun/9-1030A 
Tu-F/9-10A 
Mon/9-10A 
Tu-F/10-11A 
Tu-F/12N-1230P 
Mon/12N-1230P 
Tu-F/2-3P 
Mon/2-3P 
Tu-F/3-4P 
Mon/3-4P 
Tu-F/4-5P 
Tu-F/5-530P 
Tu-F/530-6P 
Tu-F/630-7P 
Sat/6-630P 
Tu-F/7-730P 
Mon/7-730P 
Tu-F/730-8P 
Sat/7-730P 
Tu-Su/11-1135P 
Tu-F/1135P-1235A 
Mon/1135P-1235A 
Sat/1135P-1235A 
Sun/1135P-1235A 
nan
  Total 54 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
W-F,M-Tu/5-530A 
W-F,M-Tu/530-6A 
W-F,M-Tu/6-630A 
W-F,M-Tu/630-7A 
W-F,M-Tu/7-9A 
W-F,M-Tu/9-10A 
W-F,M/12N-1230P 
W-F,M/1230-2P 
W-F,M/3-4P 
W-F,M/4-5P 
W-F,M/5-530P 
W-F,M/530-6P 
W-F,M/6-630P 
W-F,M/630-7P 
W-F,M/7-730P 
W-F,M/730-8P 
Mon/10-11P 
W-M/11-1135P 
Wed/10-11P 
Fri/10-11P 
Mon/8-9P 
Mon/9-10P 
Wed/9-10P 
Thu/9-10P 
Thu/10-11P 
Sun/730-830P 
Sun/830-930P 
Sun/930-1030P 
Sun/1-4P 
Sat/8-11P 
Sun/4-7P 
nan
  Total 62 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/11-1135P 
Contract Comment: NWSCHNL311AT11<
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Fri/530-6P 
Contract Comment: NWSCH3LIV5:30P
Fri/630-7P 
Contract Comment: CBS EVE NWS
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Mon/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Mon/530-6P 
Contract Comment: NWSCH3LIV5:30P
Mon/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Mon/730-8P 
Contract Comment: JEOPARDY
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/10-11P 
Contract Comment: 48 HR MYSTERIES
Sat/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/6-630P 
Contract Comment: LOCAL NEWS
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Thu/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Thu/530-6P 
Contract Comment: NWSCH3LIV5:30P
Thu/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Thu/730-8P 
Contract Comment: JEOPARDY
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11P 
Contract Comment: 48 HR MYSTERIES
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Tue/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Tue/530-6P 
Contract Comment: NWSCH3LIV5:30P
Tue/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/11-1135P 
Contract Comment: NWSCHNL311AT11<
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Wed/530-6P 
Contract Comment: NWSCH3LIV5:30P
Wed/630-7P 
Contract Comment: CBS EVE NWS
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 60 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tu-F/9-10A 
Tu-F/11A-12N 
Tu-F/12N-1230P 
Tu-F/2-3P 
Tu-Th/3-4P 
Tu-Th/4-5P 
Tu-F/5-6P 
Tu-F/6-630P 
Tu-F/7-730P 
Tu-F/730-8P 
Tu,Th,Su/11-1135P 
Sat/9-11A 
Sat/7-730P 
Sat/730-8P 
Sun/9-1030A 
Sun/1030-11A 
Mon/9-10P 
Wed/8-9P 
Wed/9-10P 
Thu/9-10P 
Tu-F/6-7A 
Tu-F/7-9A 
Tu-F/630-7P 
Mon/9-10A 
Mon/12N-1230P 
Mon/3-4P 
Mon/4-5P 
Mon/6-7A 
Mon/7-9A 
nan
  Total 56 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Wed/5-6A 
Fri/5-6A 
Mon/6-630A 
Tue/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/630-7A 
Tue/630-7A 
Thu/630-7A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Wed/10-11A 
Fri/10-11A 
Mon/11A-12N 
Tue/11A-12N 
Thu/11A-12N 
Mon/12N-1230P 
Tue/12N-1230P 
Wed/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Wed/1230-2P 
Fri/1230-2P 
Mon/2-3P 
Tue/2-3P 
Wed/2-3P 
Thu/2-3P 
Fri/2-3P 
Mon/3-4P 
Tue/3-4P 
Wed/3-4P 
Thu/3-4P 
Fri/3-4P 
Mon/4-5P 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/5-530P 
Tue/5-530P 
Wed/5-530P 
Thu/5-530P 
Fri/5-530P 
Mon/530-6P 
Tue/530-6P 
Thu/530-6P 
Wed/6-630P 
Fri/6-630P 
Mon/630-7P 
Tue/630-7P 
Thu/630-7P 
Sat/6-630P 
Sun/630-7P 
Wed/7-730P 
Fri/7-730P 
Mon/730-8P 
Tue/730-8P 
Thu/730-8P 
Sat/730-8P 
Mon/10-11P 
Tue/8-9P 
Thu/10-11P 
Fri/8-9P 
Sat/10-11P 
Sun/8-9P 
Mon/11-1135P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Mon/1135P-1235A 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1235-135A 
Tue/1235-135A 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 90 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 4- 9/30/12
Sun/1-4P 
Contract Comment: NFL GAME WEEK 5- 10/7/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/10-11P 
Contract Comment: PERSON OF INTEREST LTC. 9/20
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/10-11P 
Contract Comment: CSI
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Tue/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Tue/12N-1230P 
Contract Comment: NEWS3 AT NOON
Tue/3-4P 
Contract Comment: ANDERSON COOPER
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Tue/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Tue/630-7P 
Contract Comment: CBS EVENING NEWS
Tue/7-9A 
Contract Comment: CBS THIS MORNING
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 87 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Mon/530-6A 
Mon/6-630A 
Mon/630-7A 
Mon/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Mon/10-11A 
Mon/12N-1230P 
Mon/1230-2P 
Mon/3-4P 
Mon/4-5P 
Mon/5-530P 
Mon/530-6P 
Mon/6-630P 
Sat/6-630P 
Sun/1-4P 
This is a make-good for Sep15 on line-16 for 1 spot/wk
This is a make-good for Sep16 on line-17 for 1 spot/wk
This is a make-good for Sep15 on line-19 for 1 spot/wk
This is a make-good for Sep15 on line-20 for 1 spot/wk
Order Comment: SPOT NA DUE TO SCHEDULE CHANGE.  SPOTS RUNNING IN FOOTBALL
Sun/4-730P 
Part of a makegood made up of lines 31-32
Order Comment: SPOT NA DUE TO SCHEDULE CHANGE.  SPOTS RUNNING IN FOOTBALL
Sun/630-7P 
Mon/730-8P 
Sat/7-730P 
Sat/730-8P 
Sat/9-10P 
Sun/7-8P 
Mon/11-1135P 
Sat/11-1135P 
Mon/1235-135A 
Sat/1135P-1235A 
Sun/1205-105A 
This is a make-good for Sep15 on line-26 for 1 spot/wk
Order Comment: SPOT NA DUE TO SCHEDULE CHANGE
Sun/1130P-1230A 
Sun/1205-105A 
This is a make-good for Sep16 on line-27 for 1 spot/wk
This is a make-good for Sep16 on line-22 for 1 spot/wk
Order Comment: SPOTS BEING PUSHED BACK DUE TO NFL.  PLEASE CORRECT
Sun/730-830P 
Part of a makegood made up of lines 29-30
Order Comment: SPOTS BEING PUSHED BACK DUE TO NFL.  PLEASE CORRECT
nan
  Total 27 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Th-F/7-730P 
Th-F/730-8P 
Mon/7-730P 
Mon/730-8P 
nan
  Total 4 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Mon/5-6A 
Tue/5-6A 
Wed/5-6A 
Thu/5-6A 
Fri/5-6A 
Tue/5-6A 
Mon/6-630A 
Tue/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Tue/6-630A 
Wed/630-7A 
Fri/630-7A 
Tue/630-7A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Tue/9-10A 
Mon/10-11A 
Tue/10-11A 
Thu/10-11A 
Wed/11A-12N 
Fri/11A-12N 
Mon/12N-1230P 
Tue/12N-1230P 
Wed/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Mon/1230-2P 
Tue/1230-2P 
Thu/1230-2P 
Mon/2-3P 
Tue/2-3P 
Wed/2-3P 
Thu/2-3P 
Fri/2-3P 
Mon/3-4P 
Tue/3-4P 
Wed/3-4P 
Thu/3-4P 
Fri/3-4P 
Mon/4-5P 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/5-530P 
Tue/5-530P 
Thu/5-530P 
Wed/530-6P 
Fri/530-6P 
Mon/6-630P 
Tue/6-630P 
Thu/6-630P 
Wed/630-7P 
Fri/630-7P 
Sat/6-630P 
Sun/630-7P 
Mon/7-730P 
Tue/7-730P 
Thu/7-730P 
Wed/730-8P 
Fri/730-8P 
Sat/7-730P 
Mon/9-10P 
Tue/9-10P 
Wed/10-11P 
Thu/9-10P 
Fri/9-10P 
Sat/9-10P 
Sun/9-10P 
Mon/11-1135P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Mon/1135P-1235A 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1235-135A 
Tue/1235-135A 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 95 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/630-7P 
Contract Comment: CBS EVE NWS
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7P 
Contract Comment: CBS EVE NWS
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/630-7P 
Contract Comment: CBS EVE NWS
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 32 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/12N-1230P 
Mon/12N-1230P 
Tu-F/6-630P 
Mon/6-630P 
Tu-F/7-8P 
Mon/7-8P 
Thu/11-1130P 
Fri/11-1130P 
Sun/9-1030A 
Sun/1030-1130A 
This is a make-good for Nov04 on line-9 for 1 spot/wk
This is a make-good for Nov04 on line-10 for 1 spot/wk
Order Comment: SPOTS NA
Sun/1030-11A 
Sat/330-6P 
Mon/8-9P 
Sat/8-11P 
This is a make-good for Oct29 on line-12 for 1 spot/wk
Order Comment: SPOT NA
Tu-F/1130P-1230A 
Mon/1130P-1230A 
Tue/8-9P 
Sun/7-8P 
Sun/730-830P 
This is a make-good for Nov04 on line-16 for 1 spot/wk
Order Comment: PLEASE CORRECT TIME
Sat/8-11P 
nan
  Total 22 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Wed/5-530A 
Thu/5-530A 
Fri/5-530A 
Wed/530-6A 
Fri/530-6A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Wed/11A-12N 
Fri/11A-12N 
Wed/1230-2P 
Thu/1230-2P 
Fri/1230-2P 
Wed/2-3P 
Thu/2-3P 
Fri/2-3P 
Wed/3-4P 
Thu/3-4P 
Fri/3-4P 
Wed/430-459A 
Thu/430-459A 
Fri/430-459A 
Wed/5-530P 
Fri/5-530P 
Thu/530-6P 
Wed/6-630P 
Thu/6-630P 
Fri/6-630P 
Wed/7-730P 
Fri/7-730P 
Thu/730-8P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Wed/8-9P 
Wed/10-11P 
Thu/8-9P 
Fri/8-9P 
Fri/10-11P 
Sat/9-11A 
Sat/330-6P 
Sat/7-730P 
Sat/730-8P 
Sat/8-9P 
Sat/9-10P 
Sat/10-11P 
Sat/1135P-1235A 
Sun/1-4P 
Sun/4-7P 
Sun/8-9P 
Sun/9-10P 
Sun/10-11P 
Sun/1130P-1230A 
Thu/5-530A 
Fri/5-530A 
Mon/5-530A 
Tue/5-530A 
Thu/5-530A 
Fri/530-6A 
Thu/7-9A 
Fri/7-9A 
Mon/7-9A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Mon/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Fri/11A-12N 
Mon/12N-1230P 
Thu/1230-2P 
Fri/1230-2P 
Mon/1230-2P 
Tue/1230-2P 
Wed/1230-2P 
Thu/1230-2P 
Fri/1230-2P 
Thu/2-3P 
Fri/2-3P 
Mon/2-3P 
Tue/2-3P 
Wed/2-3P 
Thu/2-3P 
Fri/2-3P 
Thu/3-4P 
Fri/3-4P 
Mon/3-4P 
Mon/4-5P 
Thu/430-459A 
Fri/430-459A 
Mon/430-459A 
Tue/430-459A 
Wed/430-459A 
Thu/430-459A 
Fri/430-459A 
Fri/5-530P 
Tue/5-530P 
Thu/5-530P 
Thu/530-6P 
Mon/530-6P 
Wed/530-6P 
Fri/530-6P 
Thu/6-630P 
Fri/6-630P 
Mon/6-630P 
Tue/6-630P 
Wed/6-630P 
Thu/6-630P 
Fri/6-630P 
Fri/7-730P 
Tue/7-730P 
Thu/7-730P 
Thu/730-8P 
Mon/730-8P 
Wed/730-8P 
Fri/730-8P 
Mon/8-9P 
Mon/9-10P 
Mon/10-11P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Mon/11-1135P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Thu/1235-135A 
Fri/1235-135A 
Mon/1235-135A 
Tue/1235-135A 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Tue/10-11P 
Wed/9-10P 
Thu/8-9P 
Fri/8-9P 
Fri/10-11P 
Sat/9-11A 
Sat/330-6P 
Sat/7-730P 
Sat/730-8P 
Sat/8-9P 
Sat/9-10P 
Sat/10-11P 
Sat/1135P-1235A 
Sun/1-4P 
Sun/4-7P 
Sun/8-9P 
Sun/9-10P 
Sun/10-11P 
Sun/1130P-1230A 
nan
  Total 106 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
nan
Contract Comment: CSI: NY
Sat/1135-1235A 
This is a make-good for Oct27 on line-23 for 1 spot/wk
This is a make-good for Nov03 on line-23 for 1 spot/wk
Order Comment: PLEASE CORRECT PROGRAM
Sat/1135-1235A 
Part of a makegood made up of lines 62-63
Order Comment: PLEASE CORRECT PROGRAM
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11P 
Contract Comment: VEGAS
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 88 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/10-11P 
Contract Comment: VEGAS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/330-6P 
Sat/3-330P 
nan
  Total 68 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 5- 10/7/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/10-11P 
Contract Comment: PERSON OF INTEREST LTC. 9/20
Thu/9-11P 
This is a make-good for Oct11 on line-43 for 1 spot/wk
This is a make-good for Oct16 on line-58 for 1 spot/wk
This is a make-good for Oct16 on line-72 for 1 spot/wk
Order Comment: NOW AIRING DEBATE PLEASE CORRET PROGRAM/TIME
Tue/9-11P 
Part of a makegood made up of lines 87-89
Order Comment: NOW AIRING DEBATE PLEASE CORRET PROGRAM/TIME
Tue/9-11P 
Part of a makegood made up of lines 87-89
Order Comment: NOW AIRING DEBATE PLEASE CORRET PROGRAM/TIME
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/10-11P 
Contract Comment: CSI
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Tue/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Tue/12N-1230P 
Contract Comment: NEWS3 AT NOON
Tue/3-4P 
Contract Comment: ANDERSON COOPER
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Tue/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Tue/630-7P 
Contract Comment: CBS EVENING NEWS
Tue/7-9A 
Contract Comment: CBS THIS MORNING
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 87 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/8-9P 
Contract Comment: AMAZING RACE
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 49 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/8-9P 
Contract Comment: COMEDYTIME SATURDAY / HOW TO BE A
Sun/4-7P 
Contract Comment: NFL
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Thu/10-11P 
Contract Comment: ELEMENTARY FTC 9/27
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
nan
  Total 7 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: LETTERMAN
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/12N-1230P 
Contract Comment: NEWS
Fri/430-459A 
Contract Comment: NEWS
Fri/5-530A 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/12N-1230P 
Contract Comment: NEWS
Mon/430-459A 
Contract Comment: NEWS
Mon/5-530A 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/6-630P 
Contract Comment: NEWS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1030-11A 
Contract Comment: FACE THE NATION
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/12N-1230P 
Contract Comment: NEWS
Thu/430-459A 
Contract Comment: NEWS
Thu/5-530A 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/12N-1230P 
Contract Comment: NEWS
Wed/430-459A 
Contract Comment: NEWS
Wed/5-530A 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/7-730P 
Contract Comment: WHEEL OF FORTUNE
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 50 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/530-6A 
Thu/530-6A 
Mon/530-6A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Wed/5-530P 
Fri/5-530P 
Mon/5-530P 
Fri/530-6P 
Fri/6-630P 
Tue/7-730P 
Wed/730-8P 
Mon/730-8P 
nan
  Total 17 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Fri/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Fri/530-6P 
Contract Comment: NWSCH3LIV5:30P
Fri/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Fri/9-10P 
Contract Comment: CSI NY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Mon/530-6P 
Contract Comment: NWSCH3LIV5:30P
Mon/630-7P 
Contract Comment: CBS EVE NWS
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/10-11P 
Contract Comment: 48 HR MYSTERIES
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/6-630P 
Contract Comment: LOCAL NEWS
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/11-1135P 
Contract Comment: NWSCHNL311AT11<
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Thu/530-6P 
Contract Comment: NWSCH3LIV5:30P
Thu/630-7P 
Contract Comment: CBS EVE NWS
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/11-1135P 
Contract Comment: NWSCHNL311AT11<
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Tue/530-6P 
Contract Comment: NWSCH3LIV5:30P
Tue/630-7P 
Contract Comment: CBS EVE NWS
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Wed/530-6A 
Contract Comment: NWSCHNL3LIVE5A<
Wed/530-6P 
Contract Comment: NWSCH3LIV5:30P
Wed/630-7A 
Contract Comment: NWSCHNL3LIVE6A
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 61 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Mon/5-530A 
Tue/5-530A 
Wed/5-530A 
Thu/5-530A 
Fri/5-530A 
Mon/530-6A 
Wed/530-6A 
Thu/530-6A 
Fri/530-6A 
Tue/530-6A 
Mon/7-9A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Tue/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Tue/9-10A 
Mon/10-11A 
Wed/10-11A 
Thu/10-11A 
Fri/10-11A 
Tue/10-11A 
Wed/12N-1230P 
Fri/12N-1230P 
Mon/1230-2P 
Tue/1230-2P 
Thu/1230-2P 
Wed/530-6P 
Fri/530-6P 
Sun/630-7P 
Sat/7-730P 
Thu/9-10P 
Sat/9-10P 
Tue/11-1135P 
Thu/11-1135P 
Mon/1135P-1235A 
Wed/1135P-1235A 
Fri/1135P-1235A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 51 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Fri/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Fri/12N-1230P 
Contract Comment: NEWS3 AT NOON
Fri/3-4P 
Contract Comment: ANDERSON COOPER
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Fri/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Fri/630-7P 
Contract Comment: CBS EVENING NEWS
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/10-11A 
Contract Comment: LET'S MAKE A DEAL
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/4-5P 
Contract Comment: DR. PHIL
Mon/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Mon/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Mon/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Mon/7-730P 
Contract Comment: WHEEL OF FORTUNE
Mon/7-9A 
Contract Comment: CBS THIS MORNING
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/9-10P 
Contract Comment: TWO AND A HALF MEN/MIKE AND MOLLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/1-4P 
Contract Comment: NFL GAME WEEK 4- 9/30/12
Sun/1-4P 
Contract Comment: NFL GAME WEEK 5- 10/7/12
Sun/10-1030P 
Contract Comment: NEWSCHANNEL3 AT 10P LIVE ON CW7
Sun/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Sun/630-7P 
Contract Comment: NEWSCHANNEL3 LIVE @ 630PM SUNDAY
Sun/7-8P 
Contract Comment: 60 MINUTES  FTC 9/30
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/10-11A 
Contract Comment: LET'S MAKE A DEAL
Thu/10-11P 
Contract Comment: PERSON OF INTEREST LTC. 9/20
Thu/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/4-5P 
Contract Comment: DR. PHIL
Thu/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Thu/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Thu/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Thu/7-730P 
Contract Comment: WHEEL OF FORTUNE
Thu/7-9A 
Contract Comment: CBS THIS MORNING
Thu/8-9P 
Contract Comment: BIG BANG THEORY / TWO AND A HALF M
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/10-11P 
Contract Comment: CSI
Tue/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Tue/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Tue/12N-1230P 
Contract Comment: NEWS3 AT NOON
Tue/3-4P 
Contract Comment: ANDERSON COOPER
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Tue/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Tue/630-7P 
Contract Comment: CBS EVENING NEWS
Tue/7-9A 
Contract Comment: CBS THIS MORNING
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/8-9P 
Contract Comment: NCIS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA
Wed/10-11A 
Contract Comment: LET'S MAKE A DEAL
Wed/11-1135P 
Contract Comment: NEWSCHANNEL3 AT 11P
Wed/1135P-1235A 
Contract Comment: DAVID LETTERMAN
Wed/12N-1230P 
Contract Comment: NEWS3 AT NOON
Wed/3-4P 
Contract Comment: ANDERSON COOPER
Wed/4-5P 
Contract Comment: DR. PHIL
Wed/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Wed/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Wed/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Wed/630-7P 
Contract Comment: CBS EVENING NEWS
Wed/7-9A 
Contract Comment: CBS THIS MORNING
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/8-9P 
Contract Comment: SURVIVOR FTC. 9/19
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 87 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/9-10A 
Contract Comment: 1X PER DAY
Tu-F/12N-1230P 
Contract Comment: 1X PER DAY
Tu-F/3-4P 
Contract Comment: 1X PER DAY
Tu-F/5-530P 
Contract Comment: 1X PER DAY
Tu-F/530-6P 
Contract Comment: 1X PER DAY
Tu-F/6-630P 
Contract Comment: 1X PER DAY
W,F/630-7P 
Contract Comment: 1X PER DAY
Tu-F/7-730P 
Contract Comment: 2X PER DAY
Tu-Su/11-1135P 
Contract Comment: 1X PER DAY
Tue/10-11P 
Thu/10-11P 
Thu/10-11P 
This is a make-good for Aug16 on line-11 for 2 spots/wk
Order Comment: NOW AIRING PERSON OF INTEREST
Fri/10-11P 
Sat/7-730P 
Sat/730-8P 
Sat/9-10P 
Sun/630-7P 
Sun/7-8P 
Mon/9-10A 
Mon/12N-1230P 
Mon/3-4P 
Mon/5-530P 
Mon/530-6P 
Mon/6-630P 
Mon/630-7P 
Mon/7-730P 
Mon/11-1135P 
nan
  Total 65 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
W-F/6-630A 
M-Tu/6-630A 
W-F/630-7A 
M-Tu/630-7A 
M-Tu/7-9A 
W-F/9-10A 
M-Tu/9-10A 
W-F/12N-1230P 
M-Tu/12N-1230P 
W-F/3-4P 
W-F/5-6P 
M-Tu/5-6P 
W-F/6-630P 
M-Tu/7-730P 
W-F/730-8P 
Sat/7-730P 
Sat/730-8P 
nan
  Total 23 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
W-F/530-6A 
W-F/6-630A 
W-F/630-7A 
W-F/7-9A 
W-F/9-10A 
W-F/11A-12N 
W-F/12N-1230P 
W-F/5-530P 
W-F/530-6P 
W-F/6-630P 
W-F/630-7P 
W-F/7-730P 
W-F/730-8P 
Sun/7-8P 
Sat/9-10P 
W-F/11-1135P 
W-F/1135P-1235A 
Sun/9-1030A 
Sat/730-8P 
Mon/530-6A 
Mon/6-630A 
Mon/7-9A 
Mon/9-10A 
Mon/11A-12N 
Mon/12N-1230P 
Mon/5-530P 
Mon/6-630P 
Mon/630-7P 
Mon/7-730P 
Mon/11-1135P 
Mon/1135P-1235A 
nan
  Total 53 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LET'S MAKE A DEAL
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/4-5P 
Contract Comment: DR. PHIL
Fri/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Fri/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Fri/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Fri/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Fri/7-730P 
Contract Comment: WHEEL OF FORTUNE
Fri/7-9A 
Contract Comment: CBS THIS MORNING
Mon/12N-1230P 
Contract Comment: NEWS3 AT NOON
Mon/3-4P 
Contract Comment: ANDERSON COOPER
Mon/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Mon/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Mon/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Mon/630-7P 
Contract Comment: CBS EVENING NEWS
Mon/730-8P 
Contract Comment: JEOPARDY
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SATURDAY
Sun/9-1030A 
Contract Comment: CBS SUNDAY MORNING
Thu/12N-1230P 
Contract Comment: NEWS3 AT NOON
Thu/3-4P 
Contract Comment: ANDERSON COOPER
Thu/530-6A 
Contract Comment: NEWSCHANNEL3 LIVE @530AM
Thu/530-6P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Thu/630-7A 
Contract Comment: NEWSCHANNEL3 LIVE @630AM
Thu/630-7P 
Contract Comment: CBS EVENING NEWS
Thu/730-8P 
Contract Comment: JEOPARDY
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/10-11A 
Contract Comment: LET'S MAKE A DEAL
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/4-5P 
Contract Comment: DR. PHIL
Tue/5-530A 
Contract Comment: NEWSCHANNEL3 LIVE @5AM
Tue/5-530P 
Contract Comment: NEWSCHANNEL3 LIVE AT 5
Tue/6-630A 
Contract Comment: NEWSCHANNEL3 LIVE @6AM
Tue/6-630P 
Contract Comment: NEWSCHANNEL3 LIVE AT 6
Tue/7-730P 
Contract Comment: WHEEL OF FORTUNE
Tue/7-9A 
Contract Comment: CBS THIS MORNING
nan
  Total 38 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Th-F/6-630P 
M-Tu/6-630P 
Th-F/630-7A 
M-Tu/630-7A 
Th-F/7-9A 
M-Tu/7-9A 
Th-F/9-10A 
M-Tu/9-10A 
Th-F/12N-1230P 
M-Tu/12N-1230P 
Th-F/3-4P 
M-Tu/3-4P 
Th-F/4-5P 
M-Tu/4-5P 
Th-F/5-6P 
M-Tu/5-6P 
Tue/8-9P 
Sat/7-730P 
nan
  Total 33 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/5-6P 
Contract Comment: NWSCHNL3LIV5PM/NWSCH3LIV5:30P
Fri/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Fri/6-7A 
Contract Comment: NWSCHNL3LIVE6A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/8-9P 
Contract Comment: CSI: NY
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/5-6P 
Contract Comment: NWSCHNL3LIV5PM/NWSCH3LIV5:30P
Mon/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Mon/6-7A 
Contract Comment: NWSCHNL3LIVE6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/10-11P 
Contract Comment: THE MENTALIST
Sun/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/11-1135P 
Contract Comment: NWSCHNL311AT11<
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/5-6P 
Contract Comment: NWSCHNL3LIV5PM/NWSCH3LIV5:30P
Thu/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Thu/6-7A 
Contract Comment: NWSCHNL3LIVE6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/8-9P 
Contract Comment: BIG BANG THEORY/ RULES OF ENGAGEME
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/11-1135P 
Contract Comment: NWSCHNL311AT11<
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/5-6P 
Contract Comment: NWSCHNL3LIV5PM/NWSCH3LIV5:30P
Tue/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Tue/6-7A 
Contract Comment: NWSCHNL3LIVE6A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/5-6P 
Contract Comment: NWSCHNL3LIV5PM/NWSCH3LIV5:30P
Wed/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Wed/6-7A 
Contract Comment: NWSCHNL3LIVE6A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/9-10P 
Contract Comment: CRIMINAL MINDS
Wed/9-10P 
This is a make-good for Oct03 on line-51 for 1 spot/wk
Order Comment: SPOT NA DUE TO SCHEDULE CHANGE
nan
  Total 51 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Wed/530-6A 
Fri/530-6A 
Wed/12N-1230P 
Thu/12N-1230P 
Thu/4-5P 
Fri/4-5P 
Fri/530-6P 
Fri/6-630P 
Tue/7-730P 
Thu/10-11P 
Wed/730-8P 
Thu/8-9P 
nan
  Total 12 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
nan
  Total 27 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Mon/530-6A 
Tue/530-6A 
Mon/6-630A 
Tue/6-630A 
Wed/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/630-7A 
Tue/630-7A 
Wed/630-7A 
Thu/630-7A 
Fri/630-7A 
Wed/7-9A 
Fri/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/10-11A 
Tue/10-11A 
Wed/10-11A 
Thu/10-11A 
Fri/10-11A 
Mon/11A-12N 
Tue/11A-12N 
Thu/11A-12N 
Mon/12N-1230P 
Tue/12N-1230P 
Wed/12N-1230P 
Thu/12N-1230P 
Fri/12N-1230P 
Mon/1230-2P 
Tue/1230-2P 
Wed/1230-2P 
Thu/1230-2P 
Fri/1230-2P 
Mon/3-4P 
Tue/3-4P 
Wed/3-4P 
Thu/3-4P 
Fri/3-4P 
Mon/4-5P 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Wed/530-6P 
Fri/530-6P 
Mon/6-630P 
Tue/6-630P 
Thu/6-630P 
Sun/630-7P 
Wed/7-730P 
Fri/7-730P 
Sat/7-730P 
Sat/730-8P 
Tue/10-11P 
Thu/9-10P 
Sat/8-9P 
Sun/7-8P 
Mon/1135P-1235A 
Tue/1135P-1235A 
Thu/1135P-1235A 
Mon/1235-135A 
Tue/1235-135A 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 73 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1230-2P 
Contract Comment: PM SOAP ROTATION
Fri/12N-1230P 
Contract Comment: NEWS
Fri/430-459A 
Contract Comment: NEWS
Fri/5-530A 
Contract Comment: NEWS
Fri/5-530P 
Contract Comment: NEWS
Fri/530-6A 
Contract Comment: NEWS
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/630-7A 
Contract Comment: NEWS
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1230-2P 
Contract Comment: PM SOAP ROTATION
Mon/12N-1230P 
Contract Comment: NEWS
Mon/430-459A 
Contract Comment: NEWS
Mon/5-530A 
Contract Comment: NEWS
Mon/5-530P 
Contract Comment: NEWS
Mon/530-6A 
Contract Comment: NEWS
Mon/530-6P 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/630-7A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/6-630P 
Contract Comment: NEWS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Thu/1230-2P 
Contract Comment: PM SOAP ROTATION
Thu/12N-1230P 
Contract Comment: NEWS
Thu/430-459A 
Contract Comment: NEWS
Thu/5-530A 
Contract Comment: NEWS
Thu/5-530P 
Contract Comment: NEWS
Thu/530-6A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/630-7A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/1230-2P 
Contract Comment: PM SOAP ROTATION
Tue/12N-1230P 
Contract Comment: NEWS
Tue/430-459A 
Contract Comment: NEWS
Tue/5-530A 
Contract Comment: NEWS
Tue/5-530P 
Contract Comment: NEWS
Tue/530-6A 
Contract Comment: NEWS
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/630-7A 
Contract Comment: NEWS
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1230-2P 
Contract Comment: PM SOAP ROTATION
Wed/12N-1230P 
Contract Comment: NEWS
Wed/430-459A 
Contract Comment: NEWS
Wed/5-530A 
Contract Comment: NEWS
Wed/5-530P 
Contract Comment: NEWS
Wed/530-6A 
Contract Comment: NEWS
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/630-7A 
Contract Comment: NEWS
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 56 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/10-11P 
Contract Comment: VEGAS
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/5-530A 
Contract Comment: NWSCHNL3 AT 5A
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
nan
  Total 51 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/10-11P 
Contract Comment: BLUE BLOODS
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/730-8P 
Contract Comment: JEOPARDY<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/630-7P 
Contract Comment: CBS EVE NWS
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/8-9P 
Contract Comment: AMAZING RACE
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/630-7P 
Contract Comment: CBS EVE NWS
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/630-7P 
Contract Comment: CBS EVE NWS
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/8-9P 
Contract Comment: AVG. ALL WKS
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 98 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tue/6-630A 
Thu/6-630A 
Fri/6-630A 
Mon/6-630A 
Tue/630-7A 
Wed/630-7A 
Thu/630-7A 
Mon/630-7A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Mon/7-9A 
Sat/9-11A 
Sun/9-1030A 
Sun/1030-11A 
Mon/12N-1230P 
Tue/5-530P 
Wed/5-530P 
Thu/5-530P 
Fri/5-530P 
Mon/5-530P 
Tue/530-6P 
Thu/530-6P 
Fri/530-6P 
Mon/530-6P 
Sat/7-730P 
Tue/7-730P 
Wed/7-730P 
Thu/7-730P 
Fri/7-730P 
Tue/730-8P 
Thu/730-8P 
Mon/730-8P 
Sat/730-8P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Sun/11-1135P 
Mon/11-1135P 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1135P-1235A 
Sun/1130P-1230A 
Wed/8-9P 
Sun/7-8P 
Sun/4-7P 
Sat/10-11P 
nan
  Total 54 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/1135P-1235A 
Contract Comment: LETTERMAN
Fri/530-6A 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Fri/7-730P 
Contract Comment: WHEEL OF FORTUNE
Fri/9-10A 
Contract Comment: LIVE WITH KELLY
Mon/1135P-1235A 
Contract Comment: LETTERMAN
Mon/530-6A 
Contract Comment: NEWS
Mon/6-630A 
Contract Comment: NEWS
Mon/9-10A 
Contract Comment: LIVE WITH KELLY
Sat/1135P-1235A 
Contract Comment: CRIMINAL MINDS
Sat/7-730P 
Contract Comment: WHEEL OF FORTUNE
Sat/730-8P 
Contract Comment: JEOPARDY
Sat/9-10P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THIS MORNING SAT
Sun/1130P-1230A 
Contract Comment: THE CLOSER
Sun/630-7P 
Contract Comment: NEWS
Thu/1135P-1235A 
Contract Comment: LETTERMAN
Thu/530-6A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Thu/9-10A 
Contract Comment: LIVE WITH KELLY
Tue/1135P-1235A 
Contract Comment: LETTERMAN
Tue/530-6A 
Contract Comment: NEWS
Tue/530-6P 
Contract Comment: NEWS
Tue/6-630A 
Contract Comment: NEWS
Tue/730-8P 
Contract Comment: JEOPARDY
Tue/9-10A 
Contract Comment: LIVE WITH KELLY
Wed/1135P-1235A 
Contract Comment: LETTERMAN
Wed/530-6A 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
Wed/7-730P 
Contract Comment: WHEEL OF FORTUNE
Wed/9-10A 
Contract Comment: LIVE WITH KELLY
nan
  Total 35 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/11A-12N 
Contract Comment: PRICE IS RIGHT
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/4-5P 
Contract Comment: ANDERSON
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/11A-12N 
Contract Comment: PRICE IS RIGHT
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/4-5P 
Contract Comment: ANDERSON
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
nan
  Total 38 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/11-1135P 
Contract Comment: NEWSCHANNEL3
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/630-7P 
Contract Comment: NEWS @ 630
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
nan
  Total 56 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Fri/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7P 
Contract Comment: CBS EVE NWS
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/730-8P 
Contract Comment: JEOPARDY<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/11A-12N 
Contract Comment: PRICE IS RIGHT
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Mon/530-6P 
Contract Comment: NWSCHNL3-530PM
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/7-730P 
Contract Comment: WHEEL-FORTNE
Mon/7-9A 
Contract Comment: CBS THS MRNG-2<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/8-9P 
Contract Comment: CRIMETIME
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/1130P-1230A 
Contract Comment: CLOSER
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/7-8P 
Contract Comment: 60 MINUTES
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/11A-12N 
Contract Comment: PRICE IS RIGHT
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Thu/530-6P 
Contract Comment: NWSCHNL3-530PM
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/7-730P 
Contract Comment: WHEEL-FORTNE
Thu/7-9A 
Contract Comment: CBS THS MRNG-2<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/10-11P 
Contract Comment: VEGAS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/11A-12N 
Contract Comment: PRICE IS RIGHT
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Tue/530-6P 
Contract Comment: NWSCHNL3-530PM
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/7-730P 
Contract Comment: WHEEL-FORTNE
Tue/7-9A 
Contract Comment: CBS THS MRNG-2<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3-NOON
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530P 
Contract Comment: NWSCHNL3 AT 5P
Wed/530-6A 
Contract Comment: NWSCHNL3 AT 5A
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7P 
Contract Comment: CBS EVE NWS
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/730-8P 
Contract Comment: JEOPARDY<
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 91 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tue/5-6A 
Wed/6-630A 
Wed/6-630A 
Fri/630-7A 
Fri/630-7A 
Mon/7-9A 
Thu/7-9A 
Thu/7-9A 
Wed/9-10A 
Fri/9-10A 
Wed/9-10A 
Fri/9-10A 
Mon/12N-1230P 
Tue/12N-1230P 
Thu/12N-1230P 
Thu/12N-1230P 
Mon/5-6P 
Tue/5-6P 
Thu/5-6P 
Thu/5-6P 
Wed/6-630P 
Wed/6-630P 
Mon/7-730P 
Thu/7-730P 
Wed/730-8P 
Fri/730-8P 
Mon/11-1135P 
Wed/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Wed/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sat/9-11A 
Tue/7-9A 
Wed/12N-1230P 
Thu/5-6P 
Fri/11-1135P 
Tue/7-730P 
nan
  Total 34 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
W-F/6-630A 
W-F/630-7A 
W-F/7-9A 
W-F/9-10A 
W-F/11A-12N 
W-F/12N-1230P 
W-F/5-530P 
W-F/530-6P 
W-F/6-630P 
W-F/7-730P 
W-F/730-8P 
W-F/11-1135P 
Thu/10-11P 
Fri/10-11P 
Sat/7-730P 
Sat/730-8P 
Sat/9-10P 
Sat/10-11P 
Sun/7-8P 
M-Tu/6-630A 
M-Tu/630-7A 
M-Tu/7-9A 
M-Tu/9-10A 
M-Tu/11A-12N 
M-Tu/12N-1230P 
M-Tu/5-530P 
M-Tu/530-6P 
M-Tu/6-630P 
M-Tu/7-730P 
M-Tu/730-8P 
Mon/11-1135P 
Tue/8-9P 
Tue/9-10P 
nan
  Total 70 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
W-F/12N-1230P 
W-F/6-630P 
W-F/7-8P 
Thu/11-1130P 
Fri/11-1130P 
Sun/9-1030A 
Sun/1030-11A 
Sat/330-6P 
nan
  Total 10 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
W-F/5-6A 
M-Tu/5-6A 
W,F/6-630A 
Mon/6-630A 
W-F/630-7A 
M-Tu/630-7A 
W-F/7-9A 
M-Tu/7-9A 
W-F/9-10A 
M-Tu/9-10A 
W-F/12N-1230P 
M-Tu/12N-1230P 
W-F/3-4P 
M-Tu/3-4P 
W-F/4-5P 
M-Tu/4-5P 
W-F/5-530P 
W-F/530-6P 
M-Tu/530-6P 
M-Tu/6-630P 
Thu/9-10P 
nan
  Total 40 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/11-1135P 
Contract Comment: NWSCHNL311AT11<
Fri/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Fri/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Fri/530-6P 
Contract Comment: NWSCH3LIV5:30P
Fri/630-7P 
Contract Comment: CBS EVE NWS
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/8-9P 
Contract Comment: CSI: NY
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/10-11P 
Contract Comment: HAWAII 5-0
Mon/11-1135P 
Contract Comment: NWSCHNL311AT11<
Mon/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Mon/530-6P 
Contract Comment: NWSCH3LIV5:30P
Mon/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Mon/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/10-11P 
Contract Comment: 48 HOURS MYSTERIES
Sat/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/6-630P 
Contract Comment: NEWS @ 6
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/8-9P 
Contract Comment: AMAZING RACE
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/10-11P 
Contract Comment: ELEMENTARY
Thu/11-1135P 
Contract Comment: NWSCHNL311AT11<
Thu/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Thu/530-6P 
Contract Comment: NWSCH3LIV5:30P
Thu/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Thu/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/11-1135P 
Contract Comment: NWSCHNL311AT11<
Tue/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Tue/530-6P 
Contract Comment: NWSCH3LIV5:30P
Tue/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Tue/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Tue/8-9P 
Contract Comment: NCIS-CBS
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/11-1135P 
Contract Comment: NWSCHNL311AT11<
Wed/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Wed/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Wed/530-6P 
Contract Comment: NWSCH3LIV5:30P
Wed/630-7P 
Contract Comment: CBS EVE NWS
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 72 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Mon/430-459A 
Tue/430-459A 
Wed/430-459A 
Thu/430-459A 
Fri/430-459A 
Mon/430-459A 
Tue/430-459A 
Mon/5-530A 
Wed/5-530A 
Fri/5-530A 
Tue/5-530A 
Mon/7-9A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Mon/7-9A 
Tue/7-9A 
Fri/12N-1230P 
Mon/1230-2P 
Tue/1230-2P 
Wed/1230-2P 
Thu/1230-2P 
Fri/1230-2P 
Mon/1230-2P 
Mon/2-3P 
Tue/2-3P 
Wed/2-3P 
Thu/2-3P 
Fri/2-3P 
Mon/2-3P 
Wed/3-4P 
Fri/3-4P 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/4-5P 
Wed/5-530P 
Thu/5-530P 
Fri/5-530P 
Mon/8-9P 
Mon/9-10P 
Mon/10-11P 
Sat/11-1135P 
Sun/11-1135P 
Mon/11-1135P 
Tue/11-1135P 
Wed/11-1135P 
Thu/11-1135P 
Fri/11-1135P 
Sat/11-1135P 
Sun/11-1135P 
Mon/11-1135P 
Tue/11-1135P 
Tue/1135P-1235A 
Wed/1135P-1235A 
Thu/1135P-1235A 
Fri/1135P-1235A 
Mon/1135P-1235A 
Mon/1235-135A 
Tue/1235-135A 
Wed/1235-135A 
Thu/1235-135A 
Fri/1235-135A 
Mon/1235-135A 
Wed/8-9P 
Thu/8-9P 
Fri/10-11P 
Sat/9-10P 
Sat/1135P-1235A 
Sun/1-4P 
Sun/7-8P 
Sun/9-10P 
Sun/10-11P 
Sun/1130P-1230A 
Mon/9-10A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/9-10A 
nan
  Total 90 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
nan
Fri/5-530A 
Contract Comment: NEWS
Fri/530-6P 
Contract Comment: NEWS
Fri/6-630A 
Contract Comment: NEWS
Sun/630-7P 
Contract Comment: NEWS
Sun/9-1030A 
Contract Comment: CBS THIS MORNING SUN
Thu/5-530A 
Contract Comment: NEWS
Thu/530-6P 
Contract Comment: NEWS
Thu/6-630A 
Contract Comment: NEWS
Wed/5-530A 
Contract Comment: NEWS
Wed/530-6P 
Contract Comment: NEWS
Wed/6-630A 
Contract Comment: NEWS
nan
  Total 11 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Fri/11-1135P 
Contract Comment: NWSCHNL311AT11<
Fri/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Fri/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Fri/2-3P 
Contract Comment: NEW CBS TALK SHOW
Fri/4-5P 
Contract Comment: ANDERSON
Fri/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Fri/530-6P 
Contract Comment: NWSCH3LIV5:30P
Fri/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Fri/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Fri/730-8P 
Contract Comment: JEOPARDY
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Fri/9-10P 
Contract Comment: MADE IN JERSEY
Mon/11-1135P 
Contract Comment: NWSCHNL311AT11<
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Mon/2-3P 
Contract Comment: NEW CBS TALK SHOW
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Mon/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Mon/530-6P 
Contract Comment: NWSCH3LIV5:30P
Mon/630-7P 
Contract Comment: CBS EVE NWS
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/9-10P 
Contract Comment: 2 BROKE GIRLS /MIKE&MOLLY
Sat/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/6-630P 
Contract Comment: NEWS @ 6
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/9-10P 
Contract Comment: CRIMETIME SATURDAY
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/11-1135P 
Contract Comment: NWSCHNL311AT11<
Sun/1130P-1230A 
Contract Comment: CLOSER/AVG. ALL WKS
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Sun/9-10P 
Contract Comment: THE GOOD WIFE
Thu/11-1135P 
Contract Comment: NWSCHNL311AT11<
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Thu/2-3P 
Contract Comment: NEW CBS TALK SHOW
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Thu/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Thu/530-6P 
Contract Comment: NWSCH3LIV5:30P
Thu/630-7P 
Contract Comment: CBS EVE NWS
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Thu/9-10P 
Contract Comment: PERSON OF INTEREST
Tue/11-1135P 
Contract Comment: NWSCHNL311AT11<
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Tue/2-3P 
Contract Comment: NEW CBS TALK SHOW
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/5-530A 
Contract Comment: NWSCHNL3LIVE5A<
Tue/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Tue/530-6P 
Contract Comment: NWSCH3LIV5:30P
Tue/630-7P 
Contract Comment: CBS EVE NWS
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/9-10P 
Contract Comment: NCIS:LA-CBS
Wed/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Wed/11-1135P 
Contract Comment: NWSCHNL311AT11<
Wed/1235-135A 
Contract Comment: LT-FERGUSN-CBS<
Wed/12N-1230P 
Contract Comment: NWSCHNL3LVNOON<
Wed/2-3P 
Contract Comment: NEW CBS TALK SHOW
Wed/4-5P 
Contract Comment: ANDERSON
Wed/5-530P 
Contract Comment: NWSCHNL3LIV5PM
Wed/530-6P 
Contract Comment: NWSCH3LIV5:30P
Wed/6-630A 
Contract Comment: NWSCHNL3LIVE6A
Wed/6-630P 
Contract Comment: NWSCHNL3LIVE6P
Wed/730-8P 
Contract Comment: JEOPARDY
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 72 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/530-6A 
Wed/530-6A 
Thu/530-6A 
Fri/530-6A 
Mon/530-6A 
Sat/9-11A 
Tue/9-10A 
Thu/9-10A 
Tue/4-5P 
Wed/4-5P 
Thu/4-5P 
Fri/4-5P 
Mon/4-5P 
Tue/6-630P 
Thu/6-630P 
Sat/7-730P 
Mon/730-8P 
Tue/8-9P 
Wed/11-1135P 
Mon/11-1135P 
nan
  Total 20 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Mon/5-530A 
Tue/5-530A 
Wed/5-530A 
Thu/5-530A 
Fri/5-530A 
Mon/530-6A 
Tue/530-6A 
Wed/530-6A 
Thu/530-6A 
Fri/530-6A 
Mon/6-630A 
Tue/6-630A 
Thu/6-630A 
Mon/7-9A 
Tue/7-9A 
Wed/7-9A 
Thu/7-9A 
Fri/7-9A 
Sat/9-11A 
Sun/9-1030A 
Mon/9-10A 
Tue/9-10A 
Wed/9-10A 
Thu/9-10A 
Fri/9-10A 
Mon/10-11A 
Tue/10-11A 
Wed/10-11A 
Thu/10-11A 
Fri/10-11A 
Mon/12N-1230P 
Tue/12N-1230P 
Thu/12N-1230P 
Mon/1230-2P 
Tue/1230-2P 
Wed/1230-2P 
Thu/1230-2P 
Fri/1230-2P 
Mon/530-6P 
Tue/530-6P 
Wed/530-6P 
Thu/530-6P 
Fri/530-6P 
Sun/630-7P 
Sat/7-730P 
Thu/8-9P 
Sat/10-11P 
Wed/11-1135P 
Fri/11-1135P 
Mon/1135P-1235A 
Tue/1135P-1235A 
Thu/1135P-1235A 
Sat/1135P-1235A 
Sun/1130P-1230A 
nan
  Total 59 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
nan
Tu-F/530-6A 
Mon/530-6A 
Tu-F/6-630A 
Mon/6-630A 
Tu-F/630-7A 
Tu-F/7-9A 
Mon/7-9A 
Sat/9-11A 
Sun/9-1030A 
Tu-F/9-10A 
Mon/9-10A 
Tu-F/10-11A 
Mon/10-11A 
Tu-F/12N-1230P 
Mon/12N-1230P 
Tu-F/1230-2P 
Mon/1230-2P 
Tu-F/3-4P 
Mon/3-4P 
Tu-F/4-5P 
Mon/4-5P 
Tu-F/530-6P 
Mon/530-6P 
Tu-F/6-630P 
Mon/6-630P 
Sun/630-7P 
Sat/7-730P 
Fri/10-11P 
Tu-F/1135P-1235A 
Tu-F/1235-135A 
Mon/1235-135A 
Sun/1130P-1230A 
nan
  Total 59 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Fri/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Fri/3-4P 
Contract Comment: DR. PHIL
Fri/530-6P 
Contract Comment: NWSCHNL3-530PM
Fri/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Fri/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Fri/7-730P 
Contract Comment: WHEEL-FORTNE
Fri/7-9A 
Contract Comment: CBS THS MRNG-2<
Fri/9-10A 
Contract Comment: LIVE WTH KELLY
Mon/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Mon/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Mon/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Mon/3-4P 
Contract Comment: DR. PHIL
Mon/4-5P 
Contract Comment: ANDERSON
Mon/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Mon/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Mon/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Mon/730-8P 
Contract Comment: JEOPARDY<
Mon/9-10A 
Contract Comment: LIVE WTH KELLY
Sat/1135P-1235A 
Contract Comment: CSI: NY
Sat/7-730P 
Contract Comment: WHEEL-FORTNE W
Sat/730-8P 
Contract Comment: JEOPARDY-WKND
Sat/9-11A 
Contract Comment: CBS THS MRN:SA
Sun/630-7P 
Contract Comment: NEWS @ 630
Sun/8-9P 
Contract Comment: AMAZING RACE
Sun/9-1030A 
Contract Comment: SUNDAY MRN-CBS
Thu/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Thu/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Thu/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Thu/3-4P 
Contract Comment: DR. PHIL
Thu/4-5P 
Contract Comment: ANDERSON
Thu/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Thu/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Thu/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Thu/730-8P 
Contract Comment: JEOPARDY<
Thu/9-10A 
Contract Comment: LIVE WTH KELLY
Tue/10-11A 
Contract Comment: LETS-DEAL1-CBS/LETS-DEAL2-CBS
Tue/1135P-1235A 
Contract Comment: D LETTRMAN-CBS<
Tue/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Tue/3-4P 
Contract Comment: DR. PHIL
Tue/4-5P 
Contract Comment: ANDERSON
Tue/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Tue/6-630P 
Contract Comment: NWSCHNL3 AT 6P
Tue/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Tue/730-8P 
Contract Comment: JEOPARDY<
Tue/9-10A 
Contract Comment: LIVE WTH KELLY
Wed/1230-2P 
Contract Comment: SOAP OPERA ROTATION
Wed/3-4P 
Contract Comment: DR. PHIL
Wed/530-6P 
Contract Comment: NWSCHNL3-530PM
Wed/6-630A 
Contract Comment: NWSCHNL3 AT 6A
Wed/630-7A 
Contract Comment: NWSCHNL3 AT 6A
Wed/7-730P 
Contract Comment: WHEEL-FORTNE
Wed/7-9A 
Contract Comment: CBS THS MRNG-2<
Wed/8-9P 
Contract Comment: SURVIVOR
Wed/9-10A 
Contract Comment: LIVE WTH KELLY
nan
  Total 55 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tue/530-6A 
Thu/530-6A 
Wed/6-630A 
Fri/630-7A 
Tue/9-10A 
Thu/9-10A 
Thu/12N-1230P 
Thu/4-5P 
Fri/4-5P 
Wed/530-6P 
Mon/7-730P 
Wed/730-8P 
Wed/1135P-1235A 
Fri/1135P-1235A 
nan
  Total 14 Spots for:
nan
  Monthly Estimate Dollars:
nan
nan
Tu-F/5-530P 
Contract Comment: 1X PER DAY
Tu-F/530-6P 
Contract Comment: 1X PER DAY
Tu-F/6-630P 
Contract Comment: 1X PER DAY
Tu-F/7-730P 
Contract Comment: 1X PER DAY
Tu-F/730-8P 
Contract Comment: 1X PER DAY
Tue/8-9P 
Thu/9-10P 
Thu/10-11P 
Sat/7-730P 
Sat/730-8P 
Sat/9-10P 
Sun/1-4P 
Sun/4-7P 
Sun/7-8P 
Sun/8-9P 
Mon/5-530P 
Mon/530-6P 
Mon/6-630P 
Mon/7-730P 
Mon/730-8P 
nan
  Total 36 Spots for:
nan
  Monthly Estimate Dollars:
nan



In [27]:

    
non_candidate_2012_df[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Total )(.*)$")==True]









    



/usr/local/lib/python2.7/dist-packages/pandas/core/strings.py:185: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.
  " groups, use str.extract.", UserWarning)






    Out[27]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name
    
  
  
    
      30  
       NaN
       NaN
         Total 66 Spots for:
       NaN
        97300
      NaT
      NaT
      NaN
      NaN
       66
        97300
       NaN
         0.0
           0
       NaN
       NaN
           2012/RESTORE OUR FUTURE.5 (13499895577303)_df
    
    
      163 
       NaN
       NaN
         Total 85 Spots for:
       NaN
        73600
      NaT
      NaT
      NaN
      NaN
       85
        73600
       NaN
         0.0
           0
       NaN
       NaN
       2012/PROTECT WORKING FAMILY.4 (13510883292588)_df
    
    
      230 
       NaN
       NaN
         Total 30 Spots for:
       NaN
        20050
      NaT
      NaT
      NaN
      NaN
       30
        20050
       NaN
       124.3
       124.3
       NaN
       NaN
                         2012/DIBC.6 (13479936694353)_df
    
    
      283 
       NaN
       NaN
         Total 48 Spots for:
       NaN
        51900
      NaT
      NaT
      NaN
      NaN
       48
        51900
       NaN
         0.0
           0
       NaN
       NaN
              2012/CARE FOR MICHIGAN (13472857128655)_df
    
    
      322 
       NaN
       NaN
         Total 53 Spots for:
       NaN
        39850
      NaT
      NaT
      NaN
      NaN
       53
        39850
       NaN
       277.4
           0
       NaN
       NaN
              2012/PROTECT MI VOTE 3 (13464155038459)_df
    
    
      378 
       NaN
       NaN
         Total 25 Spots for:
       NaN
        21400
      NaT
      NaT
      NaN
      NaN
       25
        21400
       NaN
         0.0
           0
       NaN
       NaN
                   2012/MDSCC-HD91.2 (13510941976831)_df
    
    
      459 
       NaN
       NaN
         Total 37 Spots for:
       NaN
        16750
      NaT
      NaT
      NaN
      NaN
       37
        16750
       NaN
        94.9
        94.9
       NaN
       NaN
                         2012/DIBC.9 (13499631587260)_df
    
    
      525 
       NaN
       NaN
         Total 30 Spots for:
       NaN
        21820
      NaT
      NaT
      NaN
      NaN
       30
        21820
       NaN
         0.0
           0
       NaN
       NaN
            2012/MI Energy MI Jobs.9 (13492798972101)_df
    
    
      657 
       NaN
       NaN
         Total 64 Spots for:
       NaN
        41380
      NaT
      NaT
      NaN
      NaN
       64
        41380
       NaN
         0.0
           0
       NaN
       NaN
            2012/MI ENERGY MI JOBS.8 (13492783680275)_df
    
    
      787 
       NaN
       NaN
         Total 79 Spots for:
       NaN
        72750
      NaT
      NaT
      NaN
      NaN
       79
        72750
       NaN
         0.0
           0
       NaN
       NaN
       2012/PROTECT WORKING FAMILY.5 (13510883853583)_df
    
    
      870 
       NaN
       NaN
         Total 38 Spots for:
       NaN
        18650
      NaT
      NaT
      NaN
      NaN
       38
        18650
       NaN
         0.0
           0
       NaN
       NaN
       2012/CIT 4 AFF QUALITY HOMECARE.5 (13492736117...
    
    
      960 
       NaN
       NaN
         Total 42 Spots for:
       NaN
        19050
      NaT
      NaT
      NaN
      NaN
       42
        19050
       NaN
         0.0
           0
       NaN
       NaN
                   2012/MDSCC-HD91.1 (13510875225852)_df
    
    
      1140
       NaN
       NaN
         Total 86 Spots for:
       NaN
        85400
      NaT
      NaT
      NaN
      NaN
       86
        85400
       NaN
         0.0
           0
       NaN
       NaN
         2012/PROTECT MI TAXPAYERS.2 (13485880715350)_df
    
    
      1226
       NaN
       NaN
         Total 39 Spots for:
       NaN
        16850
      NaT
      NaT
      NaN
      NaN
       39
        16850
       NaN
        99.8
        99.8
       NaN
       NaN
                        2012/DIBC.10 (13499680581775)_df
    
    
      1324
       NaN
       NaN
         Total 65 Spots for:
       NaN
        69450
      NaT
      NaT
      NaN
      NaN
       65
        69450
       NaN
         0.0
           0
       NaN
       NaN
       2012/PROTECT WORKING FAMILY.6 (13510899321448)_df
    
    
      1474
       NaN
       NaN
         Total 45 Spots for:
       NaN
        37400
      NaT
      NaT
      NaN
      NaN
       45
        37400
       NaN
       267.6
           0
       NaN
       NaN
              2012/PROTECT MI VOTE 4 (13464155309822)_df
    
    
      1581
       NaN
       NaN
         Total 50 Spots for:
       NaN
        26950
      NaT
      NaT
      NaN
      NaN
       50
        26950
       NaN
       157.3
       157.3
       NaN
       NaN
                         2012/DIBC.7 (13485870113715)_df
    
    
      1723
       NaN
       NaN
         Total 69 Spots for:
       NaN
        38400
      NaT
      NaT
      NaN
      NaN
       69
        38400
       NaN
         0.0
           0
       NaN
       NaN
             2012/PROTECT OUR JOBS 9 (13464156211302)_df
    
    
      1873
       NaN
       NaN
         Total 73 Spots for:
       NaN
        67700
      NaT
      NaT
      NaN
      NaN
       73
        67700
       NaN
         0.0
           0
       NaN
       NaN
                     2012/MDSCC-HD91 (13503263017751)_df
    
    
      1883
       NaN
       NaN
          Total 4 Spots for:
       NaN
         3900
      NaT
      NaT
      NaN
      NaN
        4
         3900
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE OF MICHIGAN 10 (13481738621590)_df
    
    
      1919
       NaN
       NaN
         Total 56 Spots for:
       NaN
        90200
      NaT
      NaT
      NaN
      NaN
       56
        90200
       NaN
         0.0
           0
       NaN
       NaN
           2012/RESTORE OUR FUTURE.6 (13510890608951)_df
    
    
      2057
       NaN
       NaN
         Total 66 Spots for:
       NaN
        48020
      NaT
      NaT
      NaN
      NaN
       66
        48020
       NaN
         0.0
           0
       NaN
       NaN
            2012/MI ENERGY MI JOBS.6 (13485872263589)_df
    
    
      2086
       NaN
       NaN
         Total 12 Spots for:
       NaN
        10800
      NaT
      NaT
      NaN
      NaN
       12
        10800
       NaN
         0.0
           0
       NaN
       NaN
                   2012/MDSCC-HD91.3 (13517054721474)_df
    
    
      2122
       NaN
       NaN
         Total 42 Spots for:
       NaN
        48300
      NaT
      NaT
      NaN
      NaN
       42
        48300
       NaN
         0.0
           0
       NaN
       NaN
       2012/Citizen Protect MI stitution.2 (134996262...
    
    
      2161
       NaN
       NaN
         Total 64 Spots for:
       NaN
        39000
      NaT
      NaT
      NaN
      NaN
       64
        39000
       NaN
         0.0
           0
       NaN
       NaN
                     2012/MDSCC-SC 2 (13481752017431)_df
    
    
      2258
       NaN
       NaN
         Total 71 Spots for:
       NaN
        29100
      NaT
      NaT
      NaN
      NaN
       71
        29100
       NaN
       140.0
         143
       NaN
       NaN
                        2012/DIBC.12 (13510839623778)_df
    
    
      2296
       NaN
       NaN
         Total 31 Spots for:
       NaN
        45700
      NaT
      NaT
      NaN
      NaN
       31
        45700
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE FOR MICHIGAN 2 (13472943799700)_df
    
    
      2468
       NaN
       NaN
         Total 83 Spots for:
       NaN
        56650
      NaT
      NaT
      NaN
      NaN
       83
        56650
       NaN
         0.0
           0
       NaN
       NaN
       2012/CIT 4 AFF QUALTITY HOMECARE (134789528255...
    
    
      2536
       NaN
       NaN
         Total 68 Spots for:
       NaN
        58300
      NaT
      NaT
      NaN
      NaN
       68
        58300
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE FOR MICHIGAN 1 (13472857929706)_df
    
    
      2555
       NaN
       NaN
         Total 14 Spots for:
       NaN
        13150
      NaT
      NaT
      NaN
      NaN
       14
        13150
       NaN
         0.0
           0
       NaN
       NaN
             2012/CARE OF MICHIGAN 9 (13481735815432)_df
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      5858
       NaN
       NaN
         Total 23 Spots for:
       NaN
        38700
      NaT
      NaT
      NaN
      NaN
       23
        38700
       NaN
         0.0
           0
       NaN
       NaN
                       2012/MI GOP.6 (13517044183458)_df
    
    
      5896
       NaN
       NaN
         Total 53 Spots for:
       NaN
        39850
      NaT
      NaT
      NaN
      NaN
       53
        39850
       NaN
       277.4
           0
       NaN
       NaN
              2012/PROTECT MI VOTE 5 (13464155391064)_df
    
    
      5979
       NaN
       NaN
         Total 38 Spots for:
       NaN
        73400
      NaT
      NaT
      NaN
      NaN
       38
        73400
       NaN
         0.0
           0
       NaN
       NaN
         2012/PROTECT MI TAXPAYERS.8 (13510927504838)_df
    
    
      6004
       NaN
       NaN
         Total 33 Spots for:
       NaN
        38200
      NaT
      NaT
      NaN
      NaN
       33
        38200
       NaN
         0.0
           0
       NaN
       NaN
                       2012/MI GOP.5 (13511033239888)_df
    
    
      6117
       NaN
       NaN
         Total 51 Spots for:
       NaN
        32075
      NaT
      NaT
      NaN
      NaN
       51
        32075
       NaN
         0.0
           0
       NaN
       NaN
       2012/CIT 4 AFF QUALITY HOMECARE.4 (13492735047...
    
    
      6135
       NaN
       NaN
         Total 12 Spots for:
       NaN
        16800
      NaT
      NaT
      NaN
      NaN
       12
        16800
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE FOR MICHIGAN 7 (13481579814893)_df
    
    
      6195
       NaN
       NaN
         Total 27 Spots for:
       NaN
        15650
      NaT
      NaT
      NaN
      NaN
       27
        15650
       NaN
         0.0
           0
       NaN
       NaN
       2012/Protect Working Families.2 (1349279737813...
    
    
      6274
       NaN
       NaN
         Total 73 Spots for:
       NaN
        42950
      NaT
      NaT
      NaN
      NaN
       73
        42950
       NaN
         0.0
           0
       NaN
       NaN
            2012/MI ENERGY MI JOBS 5 (13475645774559)_df
    
    
      6393
       NaN
       NaN
         Total 56 Spots for:
       NaN
        21190
      NaT
      NaT
      NaN
      NaN
       56
        21190
       NaN
       166.2
       166.2
       NaN
       NaN
                         2012/DIBC 5 (13475501568765)_df
    
    
      6491
       NaN
       NaN
         Total 51 Spots for:
       NaN
        42000
      NaT
      NaT
      NaN
      NaN
       51
        42000
       NaN
         0.0
           0
       NaN
       NaN
       2012/Michigan Energy Michigan Jobs.11 (1350306...
    
    
      6693
       NaN
       NaN
         Total 98 Spots for:
       NaN
        78500
      NaT
      NaT
      NaN
      NaN
       98
        78500
       NaN
         0.0
           0
       NaN
       NaN
       2012/PROTECT WORKING FAMILY 1 (13481557669060)_df
    
    
      6750
       NaN
       NaN
         Total 54 Spots for:
       NaN
        51550
      NaT
      NaT
      NaN
      NaN
       54
        51550
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE FOR MICHIGAN 4 (13475658406710)_df
    
    
      6821
       NaN
       NaN
         Total 35 Spots for:
       NaN
        18900
      NaT
      NaT
      NaN
      NaN
       35
        18900
       NaN
       109.5
       109.5
       NaN
       NaN
                         2012/DIBC.8 (13492800427987)_df
    
    
      6903
       NaN
       NaN
         Total 38 Spots for:
       NaN
        18900
      NaT
      NaT
      NaN
      NaN
       38
        18900
       NaN
         0.0
           0
       NaN
       NaN
       2012/CIT FOR AFFORDABLE QUALITY HOMECARE.6 (13...
    
    
      7001
       NaN
       NaN
         Total 56 Spots for:
       NaN
        60200
      NaT
      NaT
      NaN
      NaN
       56
        60200
       NaN
         0.0
           0
       NaN
       NaN
                2012/MICH EDU. ASSOC (13510833905609)_df
    
    
      7190
       NaN
       NaN
         Total 91 Spots for:
       NaN
        59550
      NaT
      NaT
      NaN
      NaN
       91
        59550
       NaN
         0.0
           0
       NaN
       NaN
         2012/PROTECT WORKING FAMILY (13479126389484)_df
    
    
      7236
       NaN
       NaN
         Total 34 Spots for:
       NaN
        23700
      NaT
      NaT
      NaN
      NaN
       34
        23700
       NaN
         0.0
           0
       NaN
       NaN
         2012/PROTECT MI TAXPAYERS 1 (13464154444899)_df
    
    
      7275
       NaN
       NaN
         Total 70 Spots for:
       NaN
        85000
      NaT
      NaT
      NaN
      NaN
       70
        85000
       NaN
         0.0
           0
       NaN
       NaN
                      2012/RESTORE.3 (13478915461855)_df
    
    
      7289
       NaN
       NaN
         Total 10 Spots for:
       NaN
        14050
      NaT
      NaT
      NaN
      NaN
       10
        14050
       NaN
         0.0
           0
       NaN
       NaN
         2012/STAND UP FOR DEMOCRACY (13503913293148)_df
    
    
      7316
       NaN
       NaN
         Total 40 Spots for:
       NaN
        45700
      NaT
      NaT
      NaN
      NaN
       40
        45700
       NaN
         0.0
           0
       NaN
       NaN
                       2012/MI GOP.7 (13517044785412)_df
    
    
      7466
       NaN
       NaN
         Total 72 Spots for:
       NaN
        47180
      NaT
      NaT
      NaN
      NaN
       72
        47180
       NaN
         0.0
           0
       NaN
       NaN
       2012/Michigan Energy Michigan Jobs 1 (13454756...
    
    
      7554
       NaN
       NaN
         Total 90 Spots for:
       NaN
        79750
      NaT
      NaT
      NaN
      NaN
       90
        79750
       NaN
         0.0
           0
       NaN
       NaN
           2012/CARE FOR MICHIGAN.12 (13506544189473)_df
    
    
      7584
       NaN
       NaN
         Total 11 Spots for:
       NaN
         7200
      NaT
      NaT
      NaN
      NaN
       11
         7200
       NaN
        35.9
        35.9
       NaN
       NaN
              2012/DETROIT BRIDGE.11 (13506540272263)_df
    
    
      7734
       NaN
       NaN
         Total 72 Spots for:
       NaN
        49320
      NaT
      NaT
      NaN
      NaN
       72
        49320
       NaN
         0.0
           0
       NaN
       NaN
       2012/Michigan Energy Michigan Jobs 2 (13454757...
    
    
      7760
       NaN
       NaN
         Total 20 Spots for:
       NaN
        16450
      NaT
      NaT
      NaN
      NaN
       20
        16450
       NaN
         0.0
           0
       NaN
       NaN
            2012/CARE FOR MICHIGAN.5 (13479001324038)_df
    
    
      7821
       NaN
       NaN
         Total 59 Spots for:
       NaN
        40450
      NaT
      NaT
      NaN
      NaN
       59
        40450
       NaN
         0.0
           0
       NaN
       NaN
            2012/MI Dem St Central 1 (13472853153320)_df
    
    
      7860
       NaN
       NaN
         Total 59 Spots for:
       NaN
        37050
      NaT
      NaT
      NaN
      NaN
       59
        37050
       NaN
         0.0
           0
       NaN
       NaN
                     2012/MDSCC-SC 1 (13481744825656)_df
    
    
      7974
       NaN
       NaN
         Total 55 Spots for:
       NaN
        39150
      NaT
      NaT
      NaN
      NaN
       55
        39150
       NaN
         0.0
           0
       NaN
       NaN
                     2012/MDSCC-SC.4 (13492733504724)_df
    
    
      7994
       NaN
       NaN
         Total 14 Spots for:
       NaN
        18100
      NaT
      NaT
      NaN
      NaN
       14
        18100
       NaN
         0.0
           0
       NaN
       NaN
             2012/CARE OF MICHIGAN 3 (13475494128957)_df
    
    
      8025
       NaN
       NaN
         Total 36 Spots for:
       NaN
       138000
      NaT
      NaT
      NaN
      NaN
       36
       138000
       NaN
         0.0
           0
       NaN
       NaN
           2012/RESTORE OUR FUTURE.7 (13510901506418)_df
    
  

103 rows × 17 columns



In [28]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Total )(.*)$")==True])



In [29]:

    
non_candidate_2012_df[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Total )(.*)$")==True]









    Out[29]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name



In [30]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Monthly )(.*)$")==True])



In [31]:

    
non_candidate_2012_df[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Monthly )(.*)$")==True]









    Out[31]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name



In [32]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Contract )(.*)$")==True])



In [33]:

    
non_candidate_2012_df[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Contract )(.*)$")==True]









    Out[33]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name



In [34]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Buy_Line'].str.contains(r"(.*##)(.*)$")==True])



In [35]:

    
non_candidate_2012_df[non_candidate_2012_df['Day/Time'].str.contains(r"(.*##)(.*)$")==True]









    Out[35]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Program_Name
      Rating_RA35+
      Rep:_RA35+
      Last_Activity
      Last_Mod/Rev
      Advertiser_Name



In [36]:

    
#non_candidate_2012_df['Day/Time'] = non_candidate_2012_df['Day/Time'].str.replace(r"(.*Total )(.*)$", r"")



In [37]:

    
#non_candidate_2012_df['Day/Time'] = non_candidate_2012_df['Day/Time'].str.replace(r"(.*Monthly )(.*)$", r"")



In [38]:

    
#non_candidate_2012_df['Day/Time'] = non_candidate_2012_df['Day/Time'].str.replace(r"(.*Contract )(.*)$", r"")



In [39]:

    
#non_candidate_2012_df['Buy_Line'] = non_candidate_2012_df['Buy_Line'].str.replace(r"(.*##)(.*)$", r"")



In [40]:

    
non_candidate_2012_df['Day/Time']









    Out[40]:





1        Sa-Su/11-1135P 
2            Sat/730-8P 
3              Sun/7-8P 
4            M-F/6-630A 
5             M-F/9-10A 
6         M-W,F/11A-12N 
7       M,W-F/12N-1230P 
8      M-Tu,Th-F/5-530P 
9            M-F/530-6P 
10           M-F/6-630P 
11           M-F/7-730P 
12           M-F/730-8P 
13    M-W,F-Sa/11-1135P 
14             Tue/8-9P 
15           Wed/10-11P 
...
8012    Sat/7-730P 
8013    Sat/730-8P 
8014     Sat/9-10P 
8015      Sun/1-4P 
8016      Sun/4-7P 
8017      Sun/7-8P 
8018      Sun/8-9P 
8019    Mon/5-530P 
8020    Mon/530-6P 
8021    Mon/6-630P 
8022    Mon/7-730P 
8023    Mon/730-8P 
8024            NaN
8026            NaN
8028            NaN
Name: Day/Time, Length: 4967, dtype: object



In [41]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].isnull()])



In [42]:

    
non_candidate_2012_df['Program_Name'].value_counts()









    Out[42]:





NEWS                             227
NWSCHNL3 AT 6A                   178
DR. PHIL                         165
LIVE WTH KELLY                   131
ANDERSON                         130
JEOPARDY                         120
SOAP OPERA ROTATION              104
CBS THS MRNG-2<                  103
LIVE WITH KELLY                  100
LT-FERGUSN-CBS<                   99
D LETTRMAN-CBS<                   99
NWSCHNL3 AT 5A                    99
PRICE IS RIGHT                    90
LETS-DEAL1-CBS/LETS-DEAL2-CBS     89
CBS THIS MORNING                  80
...
MICH VS ILLIN          1
48HR MYSTERY           1
CBS SUN MORNING        1
NEWS 3 AT 5 P          1
PRES DEBATE            1
CRIME MINDS            1
SEC                    1
CBS THIS MORN          1
SU CBS THIS MORN       1
CRIMTME SA-CBS         1
WKND EARLY NEWS        1
NEWS 3 THIS AM         1
NEWS 2 THIS MORNING    1
48HR MSTRY-CBS         1
SUN MORN               1
Length: 249, dtype: int64



In [43]:

    
import re
def split_day(row_df):
    temp_string = str(row_df)
    match = re.match(r"(^.*)(/)(.*)", temp_string)
    if match:
        return match.group(1)



In [44]:

    
split_day('Sun-Mon/7')









    Out[44]:





'Sun-Mon'



In [45]:

    
import re
def split_time(row_df):
    temp_string = str(row_df)
    match = re.match(r"(^.*)(/)(.*)", temp_string)
    if match:
        return match.group(3)



In [46]:

    
split_time('Sun-Mon/7')









    Out[46]:





'7'



In [47]:

    
non_candidate_2012_df['Day'] = non_candidate_2012_df['Day/Time'].apply(split_day)



In [48]:

    
non_candidate_2012_df['Time'] = non_candidate_2012_df['Day/Time'].apply(split_time)



In [49]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Buy_Line'].str.contains(r"(.*##)(.*)$")==True])



In [50]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day'].isnull()==True])



In [51]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].str.contains(r"(.*Order)(.*)$")==True])



In [52]:

    
non_candidate_2012_df = non_candidate_2012_df.drop(non_candidate_2012_df.index[non_candidate_2012_df['Day/Time'].str.contains(r"(.*This)(.*)$")==True])



In [53]:

    
len(non_candidate_2012_df)









    Out[53]:





4385



In [54]:

    
non_candidate_2012_df['Day'] = non_candidate_2012_df['Day/Time'].apply(split_day)



In [55]:

    
non_candidate_2012_df['Time'] = non_candidate_2012_df['Day/Time'].apply(split_time)



In [56]:

    
non_candidate_2012_df['Day'].value_counts()









    Out[56]:





Mon          802
Fri          704
Thu          696
Wed          633
Tue          586
Sat          350
Sun          273
Tu-F         105
W-F           90
M-Tu          83
Th-F          11
W-F,M         10
W,F           10
W-F,M-Tu       6
M-F            6
Tu-Th          4
W-Su           2
Tu,Th,Su       2
Tu-Su          2
Th-F,Su        1
M,W-F          1
F-Su           1
Sa-Su          1
W-M            1
Tu,Th          1
M-W,F-Sa       1
M-W,F          1
M-Th           1
M-Tu,Th-F      1
dtype: int64



In [57]:

    
def monday(row_df):
    mon = re.match(r"(.*)(M)(.*)", row_df)
    if mon:
        return 1
    else:
        return 0
    
def tues(row_df):
    tues = re.match(r"(.*)(Tu)(.*)", row_df)
    if tues:
        return 1
    else:
        return 0
    
def wed(row_df):
    wed = re.match(r"(.*)(W)(.*)", row_df)
    if wed:
        return 1
    else:
        return 0

def thursday(row_df):
    thurs = re.match(r"(.*)(Th)(.*)", row_df)
    if thurs:
        return 1
    else:
        return 0

def friday(row_df):
    fri = re.match(r"(.*)(F)(.*)", row_df)
    if fri:
        return 1
    else:
        return 0
    
def saturday(row_df):
    sat = re.match(r"(.*)(Sa)(.*)", row_df)
    if sat:
        return 1
    else:
        return 0
    
def sunday(row_df):
    sun = re.match(r"(.*)(Su)(.*)", row_df)
    if sun:
        return 1
    else:
        return 0



In [58]:

    
non_candidate_2012_df['Monday'] = non_candidate_2012_df['Day'].apply(monday)
non_candidate_2012_df['Tuesday'] = non_candidate_2012_df['Day'].apply(tues)
non_candidate_2012_df['Wednesday'] = non_candidate_2012_df['Day'].apply(wed)
non_candidate_2012_df['Thursday'] = non_candidate_2012_df['Day'].apply(thursday)
non_candidate_2012_df['Friday'] = non_candidate_2012_df['Day'].apply(friday)
non_candidate_2012_df['Saturday'] = non_candidate_2012_df['Day'].apply(saturday)
non_candidate_2012_df['Sunday'] = non_candidate_2012_df['Day'].apply(sunday)



In [59]:

    
def time(row_df):
    match = re.match(r"(.*)([APN])", row_df)
    if match:
        return match.group(1)



In [60]:

    
time('9-10A')









    Out[60]:





'9-10'



In [61]:

    
non_candidate_2012_df['Time_Clean'] = non_candidate_2012_df['Time'].apply(time)



In [62]:

    
non_candidate_2012_df









    Out[62]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Day
      Time
      Monday
      Tuesday
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
           Sa-Su
          11-1135P 
       0
       0
       0
       0
       0
       1
       1
          11-1135
    
    
      2   
       NaN
        2
              Sat/730-8P 
       30S
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      3   
       NaN
        3
                Sun/7-8P 
       30S
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      4   
       NaN
        4
              M-F/6-630A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            6-630A 
       1
       0
       0
       0
       1
       0
       0
            6-630
    
    
      5   
       NaN
        5
               M-F/9-10A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
             9-10A 
       1
       0
       0
       0
       1
       0
       0
             9-10
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
           M-W,F
           11A-12N 
       1
       0
       1
       0
       1
       0
       0
           11A-12
    
    
      7   
       NaN
        7
         M,W-F/12N-1230P 
       30S
        600
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
           M,W-F
         12N-1230P 
       1
       0
       1
       0
       1
       0
       0
         12N-1230
    
    
      8   
       NaN
        8
        M-Tu,Th-F/5-530P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       M-Tu,Th-F
            5-530P 
       1
       1
       0
       1
       1
       0
       0
            5-530
    
    
      9   
       NaN
        9
              M-F/530-6P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            530-6P 
       1
       0
       0
       0
       1
       0
       0
            530-6
    
    
      10  
       NaN
       10
              M-F/6-630P 
       30S
       1500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            6-630P 
       1
       0
       0
       0
       1
       0
       0
            6-630
    
    
      11  
       NaN
       11
              M-F/7-730P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            7-730P 
       1
       0
       0
       0
       1
       0
       0
            7-730
    
    
      12  
       NaN
       12
              M-F/730-8P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            730-8P 
       1
       0
       0
       0
       1
       0
       0
            730-8
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
        M-W,F-Sa
          11-1135P 
       1
       0
       1
       0
       1
       1
       0
          11-1135
    
    
      14  
       NaN
       14
                Tue/8-9P 
       30S
       5000
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
             Tue
              8-9P 
       0
       1
       0
       0
       0
       0
       0
              8-9
    
    
      15  
       NaN
       15
              Wed/10-11P 
       30S
       3500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
             Wed
            10-11P 
       0
       0
       1
       0
       0
       0
       0
            10-11
    
    
      16  
       NaN
       16
              Fri/10-11P 
       30S
       4000
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
             Fri
            10-11P 
       0
       0
       0
       0
       1
       0
       0
            10-11
    
    
      17  
       NaN
       17
              Sat/730-8P 
       30S
       1000
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      18  
       NaN
       18
                Sun/7-8P 
       30S
       4000
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      19  
       NaN
       19
              Mon/6-630A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            6-630A 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      20  
       NaN
       20
               Mon/9-10A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
             9-10A 
       1
       0
       0
       0
       0
       0
       0
             9-10
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
           11A-12N 
       1
       0
       0
       0
       0
       0
       0
           11A-12
    
    
      22  
       NaN
       22
           Mon/12N-1230P 
       30S
        600
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
         12N-1230P 
       1
       0
       0
       0
       0
       0
       0
         12N-1230
    
    
      23  
       NaN
       23
              Mon/5-530P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            5-530P 
       1
       0
       0
       0
       0
       0
       0
            5-530
    
    
      24  
       NaN
       24
              Mon/530-6P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            530-6P 
       1
       0
       0
       0
       0
       0
       0
            530-6
    
    
      25  
       NaN
       25
              Mon/6-630P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            6-630P 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      26  
       NaN
       26
              Mon/7-730P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      27  
       NaN
       27
              Mon/730-8P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            730-8P 
       1
       0
       0
       0
       0
       0
       0
            730-8
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
          11-1135P 
       1
       0
       0
       0
       0
       0
       0
          11-1135
    
    
      35  
       NaN
        1
         Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
             Fri
       1135P-1235A 
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
    
    
      37  
       NaN
        2
           Fri/1235-135A 
       30S
         50
      2012-11-02
      2012-11-02
       1
       2
       2
      ...
             Fri
         1235-135A 
       0
       0
       0
       0
       1
       0
       0
         1235-135
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7983
       NaN
        5
               Tue/9-10A 
       60S
        800
      2012-09-18
      2012-09-18
       1
       1
       1
      ...
             Tue
             9-10A 
       0
       1
       0
       0
       0
       0
       0
             9-10
    
    
      7984
       NaN
        6
               Thu/9-10A 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
             9-10A 
       0
       0
       0
       1
       0
       0
       0
             9-10
    
    
      7985
       NaN
        7
           Thu/12N-1230P 
       60S
       1200
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
         12N-1230P 
       0
       0
       0
       1
       0
       0
       0
         12N-1230
    
    
      7986
       NaN
        8
                Thu/4-5P 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
              4-5P 
       0
       0
       0
       1
       0
       0
       0
              4-5
    
    
      7987
       NaN
        9
                Fri/4-5P 
       60S
        800
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
             Fri
              4-5P 
       0
       0
       0
       0
       1
       0
       0
              4-5
    
    
      7988
       NaN
       10
              Wed/530-6P 
       60S
       2000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
            530-6P 
       0
       0
       1
       0
       0
       0
       0
            530-6
    
    
      7989
       NaN
       11
              Mon/7-730P 
       60S
       4000
      2012-09-24
      2012-09-24
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      7990
       NaN
       12
              Wed/730-8P 
       60S
       4000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
            730-8P 
       0
       0
       1
       0
       0
       0
       0
            730-8
    
    
      7991
       NaN
       13
         Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
       1135P-1235A 
       0
       0
       1
       0
       0
       0
       0
       1135P-1235
    
    
      7992
       NaN
       14
         Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
             Fri
       1135P-1235A 
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
    
    
      7999
       NaN
        1
             Tu-F/5-530P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            5-530P 
       0
       1
       0
       0
       1
       0
       0
            5-530
    
    
      8001
       NaN
        2
             Tu-F/530-6P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            530-6P 
       0
       1
       0
       0
       1
       0
       0
            530-6
    
    
      8003
       NaN
        3
             Tu-F/6-630P 
       30S
       3500
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            6-630P 
       0
       1
       0
       0
       1
       0
       0
            6-630
    
    
      8005
       NaN
        4
             Tu-F/7-730P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            7-730P 
       0
       1
       0
       0
       1
       0
       0
            7-730
    
    
      8007
       NaN
        5
             Tu-F/730-8P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            730-8P 
       0
       1
       0
       0
       1
       0
       0
            730-8
    
    
      8009
       NaN
        6
                Tue/8-9P 
       30S
       7000
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
             Tue
              8-9P 
       0
       1
       0
       0
       0
       0
       0
              8-9
    
    
      8010
       NaN
        7
               Thu/9-10P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
             Thu
             9-10P 
       0
       0
       0
       1
       0
       0
       0
             9-10
    
    
      8011
       NaN
        8
              Thu/10-11P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
             Thu
            10-11P 
       0
       0
       0
       1
       0
       0
       0
            10-11
    
    
      8012
       NaN
        9
              Sat/7-730P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
            7-730P 
       0
       0
       0
       0
       0
       1
       0
            7-730
    
    
      8013
       NaN
       10
              Sat/730-8P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      8014
       NaN
       11
               Sat/9-10P 
       30S
       2500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
             9-10P 
       0
       0
       0
       0
       0
       1
       0
             9-10
    
    
      8015
       NaN
       12
                Sun/1-4P 
       30S
       4000
      2012-11-04
      2012-11-04
       1
       2
       2
      ...
             Sun
              1-4P 
       0
       0
       0
       0
       0
       0
       1
              1-4
    
    
      8016
       NaN
       13
                Sun/4-7P 
       30S
       5000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              4-7P 
       0
       0
       0
       0
       0
       0
       1
              4-7
    
    
      8017
       NaN
       14
                Sun/7-8P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      8018
       NaN
       15
                Sun/8-9P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              8-9P 
       0
       0
       0
       0
       0
       0
       1
              8-9
    
    
      8019
       NaN
       16
              Mon/5-530P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            5-530P 
       1
       0
       0
       0
       0
       0
       0
            5-530
    
    
      8020
       NaN
       17
              Mon/530-6P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            530-6P 
       1
       0
       0
       0
       0
       0
       0
            530-6
    
    
      8021
       NaN
       18
              Mon/6-630P 
       30S
       3500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            6-630P 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      8022
       NaN
       19
              Mon/7-730P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      8023
       NaN
       20
              Mon/730-8P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            730-8P 
       1
       0
       0
       0
       0
       0
       0
            730-8
    
  

4385 rows × 27 columns



In [63]:

    
non_candidate_2012_df['Time_Clean'].value_counts()









    Out[63]:





530-6         381
6-630         378
9-10          368
630-7         302
10-11         238
1135P-1235    228
5-530         218
7-730         210
12N-1230      202
7-9           199
4-5           195
3-4           186
730-8         186
11-1135       185
1230-2        172
1235-135      119
8-9            94
11A-12         92
9-11           68
2-3            66
9-1030         57
1130P-1230     43
430-459        39
7-8            38
5-6            35
1-4            16
6-7            11
1030-11        10
4-7             8
10-1030         6
11-1130         6
3-330           5
330-6           5
1135-1235       4
730-830         3
8-11            3
1205-105        2
5-630           1
1030-1130       1
330-7           1
830-930         1
4-730           1
1-430           1
930-1030        1
dtype: int64



In [64]:

    
def start_time_hyphen(row_df):
    match = re.match(r"(.*)(-)(.*)", row_df)
    if match:
        return match.group(1)
    
def end_time_hyphen(row_df):
    match = re.match(r"(.*)(-)(.*)", row_df)
    if match:
        return match.group(3)
    
def start_time(row_df):
    match = re.match(r"(\d*)", row_df)
    if match:
        return match.group(0)



In [65]:

    
non_candidate_2012_df









    Out[65]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Day
      Time
      Monday
      Tuesday
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
           Sa-Su
          11-1135P 
       0
       0
       0
       0
       0
       1
       1
          11-1135
    
    
      2   
       NaN
        2
              Sat/730-8P 
       30S
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      3   
       NaN
        3
                Sun/7-8P 
       30S
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      4   
       NaN
        4
              M-F/6-630A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            6-630A 
       1
       0
       0
       0
       1
       0
       0
            6-630
    
    
      5   
       NaN
        5
               M-F/9-10A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
             9-10A 
       1
       0
       0
       0
       1
       0
       0
             9-10
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
           M-W,F
           11A-12N 
       1
       0
       1
       0
       1
       0
       0
           11A-12
    
    
      7   
       NaN
        7
         M,W-F/12N-1230P 
       30S
        600
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
           M,W-F
         12N-1230P 
       1
       0
       1
       0
       1
       0
       0
         12N-1230
    
    
      8   
       NaN
        8
        M-Tu,Th-F/5-530P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       M-Tu,Th-F
            5-530P 
       1
       1
       0
       1
       1
       0
       0
            5-530
    
    
      9   
       NaN
        9
              M-F/530-6P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            530-6P 
       1
       0
       0
       0
       1
       0
       0
            530-6
    
    
      10  
       NaN
       10
              M-F/6-630P 
       30S
       1500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            6-630P 
       1
       0
       0
       0
       1
       0
       0
            6-630
    
    
      11  
       NaN
       11
              M-F/7-730P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            7-730P 
       1
       0
       0
       0
       1
       0
       0
            7-730
    
    
      12  
       NaN
       12
              M-F/730-8P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
             M-F
            730-8P 
       1
       0
       0
       0
       1
       0
       0
            730-8
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
        M-W,F-Sa
          11-1135P 
       1
       0
       1
       0
       1
       1
       0
          11-1135
    
    
      14  
       NaN
       14
                Tue/8-9P 
       30S
       5000
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
             Tue
              8-9P 
       0
       1
       0
       0
       0
       0
       0
              8-9
    
    
      15  
       NaN
       15
              Wed/10-11P 
       30S
       3500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
             Wed
            10-11P 
       0
       0
       1
       0
       0
       0
       0
            10-11
    
    
      16  
       NaN
       16
              Fri/10-11P 
       30S
       4000
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
             Fri
            10-11P 
       0
       0
       0
       0
       1
       0
       0
            10-11
    
    
      17  
       NaN
       17
              Sat/730-8P 
       30S
       1000
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      18  
       NaN
       18
                Sun/7-8P 
       30S
       4000
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      19  
       NaN
       19
              Mon/6-630A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            6-630A 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      20  
       NaN
       20
               Mon/9-10A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
             9-10A 
       1
       0
       0
       0
       0
       0
       0
             9-10
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
           11A-12N 
       1
       0
       0
       0
       0
       0
       0
           11A-12
    
    
      22  
       NaN
       22
           Mon/12N-1230P 
       30S
        600
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
         12N-1230P 
       1
       0
       0
       0
       0
       0
       0
         12N-1230
    
    
      23  
       NaN
       23
              Mon/5-530P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            5-530P 
       1
       0
       0
       0
       0
       0
       0
            5-530
    
    
      24  
       NaN
       24
              Mon/530-6P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            530-6P 
       1
       0
       0
       0
       0
       0
       0
            530-6
    
    
      25  
       NaN
       25
              Mon/6-630P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            6-630P 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      26  
       NaN
       26
              Mon/7-730P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      27  
       NaN
       27
              Mon/730-8P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
            730-8P 
       1
       0
       0
       0
       0
       0
       0
            730-8
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
             Mon
          11-1135P 
       1
       0
       0
       0
       0
       0
       0
          11-1135
    
    
      35  
       NaN
        1
         Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
             Fri
       1135P-1235A 
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
    
    
      37  
       NaN
        2
           Fri/1235-135A 
       30S
         50
      2012-11-02
      2012-11-02
       1
       2
       2
      ...
             Fri
         1235-135A 
       0
       0
       0
       0
       1
       0
       0
         1235-135
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7983
       NaN
        5
               Tue/9-10A 
       60S
        800
      2012-09-18
      2012-09-18
       1
       1
       1
      ...
             Tue
             9-10A 
       0
       1
       0
       0
       0
       0
       0
             9-10
    
    
      7984
       NaN
        6
               Thu/9-10A 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
             9-10A 
       0
       0
       0
       1
       0
       0
       0
             9-10
    
    
      7985
       NaN
        7
           Thu/12N-1230P 
       60S
       1200
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
         12N-1230P 
       0
       0
       0
       1
       0
       0
       0
         12N-1230
    
    
      7986
       NaN
        8
                Thu/4-5P 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
             Thu
              4-5P 
       0
       0
       0
       1
       0
       0
       0
              4-5
    
    
      7987
       NaN
        9
                Fri/4-5P 
       60S
        800
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
             Fri
              4-5P 
       0
       0
       0
       0
       1
       0
       0
              4-5
    
    
      7988
       NaN
       10
              Wed/530-6P 
       60S
       2000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
            530-6P 
       0
       0
       1
       0
       0
       0
       0
            530-6
    
    
      7989
       NaN
       11
              Mon/7-730P 
       60S
       4000
      2012-09-24
      2012-09-24
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      7990
       NaN
       12
              Wed/730-8P 
       60S
       4000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
            730-8P 
       0
       0
       1
       0
       0
       0
       0
            730-8
    
    
      7991
       NaN
       13
         Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
             Wed
       1135P-1235A 
       0
       0
       1
       0
       0
       0
       0
       1135P-1235
    
    
      7992
       NaN
       14
         Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
             Fri
       1135P-1235A 
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
    
    
      7999
       NaN
        1
             Tu-F/5-530P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            5-530P 
       0
       1
       0
       0
       1
       0
       0
            5-530
    
    
      8001
       NaN
        2
             Tu-F/530-6P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            530-6P 
       0
       1
       0
       0
       1
       0
       0
            530-6
    
    
      8003
       NaN
        3
             Tu-F/6-630P 
       30S
       3500
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            6-630P 
       0
       1
       0
       0
       1
       0
       0
            6-630
    
    
      8005
       NaN
        4
             Tu-F/7-730P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            7-730P 
       0
       1
       0
       0
       1
       0
       0
            7-730
    
    
      8007
       NaN
        5
             Tu-F/730-8P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
            Tu-F
            730-8P 
       0
       1
       0
       0
       1
       0
       0
            730-8
    
    
      8009
       NaN
        6
                Tue/8-9P 
       30S
       7000
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
             Tue
              8-9P 
       0
       1
       0
       0
       0
       0
       0
              8-9
    
    
      8010
       NaN
        7
               Thu/9-10P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
             Thu
             9-10P 
       0
       0
       0
       1
       0
       0
       0
             9-10
    
    
      8011
       NaN
        8
              Thu/10-11P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
             Thu
            10-11P 
       0
       0
       0
       1
       0
       0
       0
            10-11
    
    
      8012
       NaN
        9
              Sat/7-730P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
            7-730P 
       0
       0
       0
       0
       0
       1
       0
            7-730
    
    
      8013
       NaN
       10
              Sat/730-8P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
            730-8P 
       0
       0
       0
       0
       0
       1
       0
            730-8
    
    
      8014
       NaN
       11
               Sat/9-10P 
       30S
       2500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
             Sat
             9-10P 
       0
       0
       0
       0
       0
       1
       0
             9-10
    
    
      8015
       NaN
       12
                Sun/1-4P 
       30S
       4000
      2012-11-04
      2012-11-04
       1
       2
       2
      ...
             Sun
              1-4P 
       0
       0
       0
       0
       0
       0
       1
              1-4
    
    
      8016
       NaN
       13
                Sun/4-7P 
       30S
       5000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              4-7P 
       0
       0
       0
       0
       0
       0
       1
              4-7
    
    
      8017
       NaN
       14
                Sun/7-8P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              7-8P 
       0
       0
       0
       0
       0
       0
       1
              7-8
    
    
      8018
       NaN
       15
                Sun/8-9P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
             Sun
              8-9P 
       0
       0
       0
       0
       0
       0
       1
              8-9
    
    
      8019
       NaN
       16
              Mon/5-530P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            5-530P 
       1
       0
       0
       0
       0
       0
       0
            5-530
    
    
      8020
       NaN
       17
              Mon/530-6P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            530-6P 
       1
       0
       0
       0
       0
       0
       0
            530-6
    
    
      8021
       NaN
       18
              Mon/6-630P 
       30S
       3500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            6-630P 
       1
       0
       0
       0
       0
       0
       0
            6-630
    
    
      8022
       NaN
       19
              Mon/7-730P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            7-730P 
       1
       0
       0
       0
       0
       0
       0
            7-730
    
    
      8023
       NaN
       20
              Mon/730-8P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
             Mon
            730-8P 
       1
       0
       0
       0
       0
       0
       0
            730-8
    
  

4385 rows × 27 columns



In [66]:

    
non_candidate_2012_df['Start_Time'] = non_candidate_2012_df['Time_Clean'].apply(start_time_hyphen)
non_candidate_2012_df['Start_Time'] = non_candidate_2012_df['Time_Clean'].apply(start_time)
non_candidate_2012_df['End_Time'] = non_candidate_2012_df['Time_Clean'].apply(end_time_hyphen)



In [67]:

    
#def make_string(row_df):
 #   return str(row_df)



In [68]:

    
non_candidate_2012_df['End_Time'] = non_candidate_2012_df['End_Time'].replace([None], "00")



In [69]:

    
non_candidate_2012_df









    Out[69]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Monday
      Tuesday
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
      Start_Time
      End_Time
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       1
       1
          11-1135
         11
       1135
    
    
      2   
       NaN
        2
              Sat/730-8P 
       30S
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      3   
       NaN
        3
                Sun/7-8P 
       30S
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      4   
       NaN
        4
              M-F/6-630A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      5   
       NaN
        5
               M-F/9-10A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
             9-10
          9
         10
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
           11A-12
         11
         12
    
    
      7   
       NaN
        7
         M,W-F/12N-1230P 
       30S
        600
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
         12N-1230
         12
       1230
    
    
      8   
       NaN
        8
        M-Tu,Th-F/5-530P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       1
       0
       1
       1
       0
       0
            5-530
          5
        530
    
    
      9   
       NaN
        9
              M-F/530-6P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            530-6
        530
          6
    
    
      10  
       NaN
       10
              M-F/6-630P 
       30S
       1500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      11  
       NaN
       11
              M-F/7-730P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            7-730
          7
        730
    
    
      12  
       NaN
       12
              M-F/730-8P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            730-8
        730
          8
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
       1
       0
       1
       0
       1
       1
       0
          11-1135
         11
       1135
    
    
      14  
       NaN
       14
                Tue/8-9P 
       30S
       5000
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
          8
          9
    
    
      15  
       NaN
       15
              Wed/10-11P 
       30S
       3500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            10-11
         10
         11
    
    
      16  
       NaN
       16
              Fri/10-11P 
       30S
       4000
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
            10-11
         10
         11
    
    
      17  
       NaN
       17
              Sat/730-8P 
       30S
       1000
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      18  
       NaN
       18
                Sun/7-8P 
       30S
       4000
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      19  
       NaN
       19
              Mon/6-630A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      20  
       NaN
       20
               Mon/9-10A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
             9-10
          9
         10
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
           11A-12
         11
         12
    
    
      22  
       NaN
       22
           Mon/12N-1230P 
       30S
        600
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
         12N-1230
         12
       1230
    
    
      23  
       NaN
       23
              Mon/5-530P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
          5
        530
    
    
      24  
       NaN
       24
              Mon/530-6P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
          6
    
    
      25  
       NaN
       25
              Mon/6-630P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      26  
       NaN
       26
              Mon/7-730P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      27  
       NaN
       27
              Mon/730-8P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
          8
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
          11-1135
         11
       1135
    
    
      35  
       NaN
        1
         Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       1235
    
    
      37  
       NaN
        2
           Fri/1235-135A 
       30S
         50
      2012-11-02
      2012-11-02
       1
       2
       2
      ...
       0
       0
       0
       0
       1
       0
       0
         1235-135
       1235
        135
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7983
       NaN
        5
               Tue/9-10A 
       60S
        800
      2012-09-18
      2012-09-18
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
             9-10
          9
         10
    
    
      7984
       NaN
        6
               Thu/9-10A 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
          9
         10
    
    
      7985
       NaN
        7
           Thu/12N-1230P 
       60S
       1200
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
         12N-1230
         12
       1230
    
    
      7986
       NaN
        8
                Thu/4-5P 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
              4-5
          4
          5
    
    
      7987
       NaN
        9
                Fri/4-5P 
       60S
        800
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
              4-5
          4
          5
    
    
      7988
       NaN
       10
              Wed/530-6P 
       60S
       2000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            530-6
        530
          6
    
    
      7989
       NaN
       11
              Mon/7-730P 
       60S
       4000
      2012-09-24
      2012-09-24
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      7990
       NaN
       12
              Wed/730-8P 
       60S
       4000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            730-8
        730
          8
    
    
      7991
       NaN
       13
         Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
       1135P-1235
       1135
       1235
    
    
      7992
       NaN
       14
         Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       1235
    
    
      7999
       NaN
        1
             Tu-F/5-530P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            5-530
          5
        530
    
    
      8001
       NaN
        2
             Tu-F/530-6P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            530-6
        530
          6
    
    
      8003
       NaN
        3
             Tu-F/6-630P 
       30S
       3500
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      8005
       NaN
        4
             Tu-F/7-730P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            7-730
          7
        730
    
    
      8007
       NaN
        5
             Tu-F/730-8P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            730-8
        730
          8
    
    
      8009
       NaN
        6
                Tue/8-9P 
       30S
       7000
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
          8
          9
    
    
      8010
       NaN
        7
               Thu/9-10P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
          9
         10
    
    
      8011
       NaN
        8
              Thu/10-11P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
            10-11
         10
         11
    
    
      8012
       NaN
        9
              Sat/7-730P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            7-730
          7
        730
    
    
      8013
       NaN
       10
              Sat/730-8P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      8014
       NaN
       11
               Sat/9-10P 
       30S
       2500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
             9-10
          9
         10
    
    
      8015
       NaN
       12
                Sun/1-4P 
       30S
       4000
      2012-11-04
      2012-11-04
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       0
       1
              1-4
          1
          4
    
    
      8016
       NaN
       13
                Sun/4-7P 
       30S
       5000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              4-7
          4
          7
    
    
      8017
       NaN
       14
                Sun/7-8P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      8018
       NaN
       15
                Sun/8-9P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              8-9
          8
          9
    
    
      8019
       NaN
       16
              Mon/5-530P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
          5
        530
    
    
      8020
       NaN
       17
              Mon/530-6P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
          6
    
    
      8021
       NaN
       18
              Mon/6-630P 
       30S
       3500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      8022
       NaN
       19
              Mon/7-730P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      8023
       NaN
       20
              Mon/730-8P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
          8
    
  

4385 rows × 29 columns



In [70]:

    
#def fix_none(row_df):
 #   if row_df is not None:
  #      continue
#    else:
 #       return '00'



In [71]:

    
import re
def add_min(row_df):
    if row_df == '1' or row_df == '2':
        return row_df + '0'
    if row_df == '12':
        return '00'
    if row_df == '1205':
        return '05'
    if row_df == '1230':
        return '0030'
    if row_df == '1235':
        return '0035'
    if row_df == '105':
        return '15'
    elif len(row_df) <= 2:
        return row_df + '00'
    else:
        return row_df



In [72]:

    
add_min('2')









    Out[72]:





'20'



In [73]:

    
add_min('6')









    Out[73]:





'600'



In [74]:

    
add_min('666')









    Out[74]:





'666'



In [75]:

    
#fix_none('cat')



In [76]:

    
#fix_none(None)



In [77]:

    
#non_candidate_2012_df['Start_Time'] = non_candidate_2012_df['Start_Time'].apply(make_string)
#non_candidate_2012_df['Start_Time'] = non_candidate_2012_df['End_Time'].apply(make_string)



In [78]:

    
#non_candidate_2012_df['End_Time'] = non_candidate_2012_df['End_Time'].apply(fix_none)



In [79]:

    
non_candidate_2012_df









    Out[79]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Monday
      Tuesday
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
      Start_Time
      End_Time
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       1
       1
          11-1135
         11
       1135
    
    
      2   
       NaN
        2
              Sat/730-8P 
       30S
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      3   
       NaN
        3
                Sun/7-8P 
       30S
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      4   
       NaN
        4
              M-F/6-630A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      5   
       NaN
        5
               M-F/9-10A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
             9-10
          9
         10
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
           11A-12
         11
         12
    
    
      7   
       NaN
        7
         M,W-F/12N-1230P 
       30S
        600
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
         12N-1230
         12
       1230
    
    
      8   
       NaN
        8
        M-Tu,Th-F/5-530P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       1
       0
       1
       1
       0
       0
            5-530
          5
        530
    
    
      9   
       NaN
        9
              M-F/530-6P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            530-6
        530
          6
    
    
      10  
       NaN
       10
              M-F/6-630P 
       30S
       1500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      11  
       NaN
       11
              M-F/7-730P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            7-730
          7
        730
    
    
      12  
       NaN
       12
              M-F/730-8P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            730-8
        730
          8
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
       1
       0
       1
       0
       1
       1
       0
          11-1135
         11
       1135
    
    
      14  
       NaN
       14
                Tue/8-9P 
       30S
       5000
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
          8
          9
    
    
      15  
       NaN
       15
              Wed/10-11P 
       30S
       3500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            10-11
         10
         11
    
    
      16  
       NaN
       16
              Fri/10-11P 
       30S
       4000
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
            10-11
         10
         11
    
    
      17  
       NaN
       17
              Sat/730-8P 
       30S
       1000
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      18  
       NaN
       18
                Sun/7-8P 
       30S
       4000
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      19  
       NaN
       19
              Mon/6-630A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      20  
       NaN
       20
               Mon/9-10A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
             9-10
          9
         10
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
           11A-12
         11
         12
    
    
      22  
       NaN
       22
           Mon/12N-1230P 
       30S
        600
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
         12N-1230
         12
       1230
    
    
      23  
       NaN
       23
              Mon/5-530P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
          5
        530
    
    
      24  
       NaN
       24
              Mon/530-6P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
          6
    
    
      25  
       NaN
       25
              Mon/6-630P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      26  
       NaN
       26
              Mon/7-730P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      27  
       NaN
       27
              Mon/730-8P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
          8
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
          11-1135
         11
       1135
    
    
      35  
       NaN
        1
         Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       1235
    
    
      37  
       NaN
        2
           Fri/1235-135A 
       30S
         50
      2012-11-02
      2012-11-02
       1
       2
       2
      ...
       0
       0
       0
       0
       1
       0
       0
         1235-135
       1235
        135
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7983
       NaN
        5
               Tue/9-10A 
       60S
        800
      2012-09-18
      2012-09-18
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
             9-10
          9
         10
    
    
      7984
       NaN
        6
               Thu/9-10A 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
          9
         10
    
    
      7985
       NaN
        7
           Thu/12N-1230P 
       60S
       1200
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
         12N-1230
         12
       1230
    
    
      7986
       NaN
        8
                Thu/4-5P 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
              4-5
          4
          5
    
    
      7987
       NaN
        9
                Fri/4-5P 
       60S
        800
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
              4-5
          4
          5
    
    
      7988
       NaN
       10
              Wed/530-6P 
       60S
       2000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            530-6
        530
          6
    
    
      7989
       NaN
       11
              Mon/7-730P 
       60S
       4000
      2012-09-24
      2012-09-24
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      7990
       NaN
       12
              Wed/730-8P 
       60S
       4000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            730-8
        730
          8
    
    
      7991
       NaN
       13
         Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
       1135P-1235
       1135
       1235
    
    
      7992
       NaN
       14
         Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       1235
    
    
      7999
       NaN
        1
             Tu-F/5-530P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            5-530
          5
        530
    
    
      8001
       NaN
        2
             Tu-F/530-6P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            530-6
        530
          6
    
    
      8003
       NaN
        3
             Tu-F/6-630P 
       30S
       3500
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            6-630
          6
        630
    
    
      8005
       NaN
        4
             Tu-F/7-730P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            7-730
          7
        730
    
    
      8007
       NaN
        5
             Tu-F/730-8P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            730-8
        730
          8
    
    
      8009
       NaN
        6
                Tue/8-9P 
       30S
       7000
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
          8
          9
    
    
      8010
       NaN
        7
               Thu/9-10P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
          9
         10
    
    
      8011
       NaN
        8
              Thu/10-11P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
            10-11
         10
         11
    
    
      8012
       NaN
        9
              Sat/7-730P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            7-730
          7
        730
    
    
      8013
       NaN
       10
              Sat/730-8P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
          8
    
    
      8014
       NaN
       11
               Sat/9-10P 
       30S
       2500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
             9-10
          9
         10
    
    
      8015
       NaN
       12
                Sun/1-4P 
       30S
       4000
      2012-11-04
      2012-11-04
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       0
       1
              1-4
          1
          4
    
    
      8016
       NaN
       13
                Sun/4-7P 
       30S
       5000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              4-7
          4
          7
    
    
      8017
       NaN
       14
                Sun/7-8P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
          7
          8
    
    
      8018
       NaN
       15
                Sun/8-9P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              8-9
          8
          9
    
    
      8019
       NaN
       16
              Mon/5-530P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
          5
        530
    
    
      8020
       NaN
       17
              Mon/530-6P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
          6
    
    
      8021
       NaN
       18
              Mon/6-630P 
       30S
       3500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
          6
        630
    
    
      8022
       NaN
       19
              Mon/7-730P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
          7
        730
    
    
      8023
       NaN
       20
              Mon/730-8P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
          8
    
  

4385 rows × 29 columns



In [80]:

    
non_candidate_2012_df['Start_Time'] = non_candidate_2012_df['Start_Time'].apply(add_min)
non_candidate_2012_df['End_Time'] = non_candidate_2012_df['End_Time'].apply(add_min)



In [81]:

    
#def time1(row_df):
 #   match = re.match(r"9-10A", row_df)
  #  if match:
   #     return 1
#    else:
 #       return 0
    
#def time2(row_df):
 #   match = re.match(r"1135P-1235A", row_df)
  #  if match:
   #     return 1
#    else:
 #       return 0



In [82]:

    
non_candidate_2012_df









    Out[82]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Monday
      Tuesday
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
      Start_Time
      End_Time
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       1
       1
          11-1135
       1100
       1135
    
    
      2   
       NaN
        2
              Sat/730-8P 
       30S
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
        800
    
    
      3   
       NaN
        3
                Sun/7-8P 
       30S
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
        700
        800
    
    
      4   
       NaN
        4
              M-F/6-630A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
        600
        630
    
    
      5   
       NaN
        5
               M-F/9-10A 
       30S
        400
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
             9-10
        900
       1000
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
           11A-12
       1100
         00
    
    
      7   
       NaN
        7
         M,W-F/12N-1230P 
       30S
        600
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       1
       0
       0
         12N-1230
         00
       0030
    
    
      8   
       NaN
        8
        M-Tu,Th-F/5-530P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       1
       0
       1
       1
       0
       0
            5-530
        500
        530
    
    
      9   
       NaN
        9
              M-F/530-6P 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            530-6
        530
        600
    
    
      10  
       NaN
       10
              M-F/6-630P 
       30S
       1500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            6-630
        600
        630
    
    
      11  
       NaN
       11
              M-F/7-730P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            7-730
        700
        730
    
    
      12  
       NaN
       12
              M-F/730-8P 
       30S
       2500
      2012-10-15
      2012-10-19
       1
       5
       5
      ...
       1
       0
       0
       0
       1
       0
       0
            730-8
        730
        800
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
       1
       0
       1
       0
       1
       1
       0
          11-1135
       1100
       1135
    
    
      14  
       NaN
       14
                Tue/8-9P 
       30S
       5000
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
        800
        900
    
    
      15  
       NaN
       15
              Wed/10-11P 
       30S
       3500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            10-11
       1000
       1100
    
    
      16  
       NaN
       16
              Fri/10-11P 
       30S
       4000
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
            10-11
       1000
       1100
    
    
      17  
       NaN
       17
              Sat/730-8P 
       30S
       1000
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
        800
    
    
      18  
       NaN
       18
                Sun/7-8P 
       30S
       4000
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
        700
        800
    
    
      19  
       NaN
       19
              Mon/6-630A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
        600
        630
    
    
      20  
       NaN
       20
               Mon/9-10A 
       30S
        400
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
             9-10
        900
       1000
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
           11A-12
       1100
         00
    
    
      22  
       NaN
       22
           Mon/12N-1230P 
       30S
        600
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
         12N-1230
         00
       0030
    
    
      23  
       NaN
       23
              Mon/5-530P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
        500
        530
    
    
      24  
       NaN
       24
              Mon/530-6P 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
        600
    
    
      25  
       NaN
       25
              Mon/6-630P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
        600
        630
    
    
      26  
       NaN
       26
              Mon/7-730P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
        700
        730
    
    
      27  
       NaN
       27
              Mon/730-8P 
       30S
       2500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
        800
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
          11-1135
       1100
       1135
    
    
      35  
       NaN
        1
         Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       0035
    
    
      37  
       NaN
        2
           Fri/1235-135A 
       30S
         50
      2012-11-02
      2012-11-02
       1
       2
       2
      ...
       0
       0
       0
       0
       1
       0
       0
         1235-135
       0035
        135
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7983
       NaN
        5
               Tue/9-10A 
       60S
        800
      2012-09-18
      2012-09-18
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
             9-10
        900
       1000
    
    
      7984
       NaN
        6
               Thu/9-10A 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
        900
       1000
    
    
      7985
       NaN
        7
           Thu/12N-1230P 
       60S
       1200
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
         12N-1230
         00
       0030
    
    
      7986
       NaN
        8
                Thu/4-5P 
       60S
        800
      2012-09-20
      2012-09-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
              4-5
        400
        500
    
    
      7987
       NaN
        9
                Fri/4-5P 
       60S
        800
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
              4-5
        400
        500
    
    
      7988
       NaN
       10
              Wed/530-6P 
       60S
       2000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            530-6
        530
        600
    
    
      7989
       NaN
       11
              Mon/7-730P 
       60S
       4000
      2012-09-24
      2012-09-24
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
        700
        730
    
    
      7990
       NaN
       12
              Wed/730-8P 
       60S
       4000
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
            730-8
        730
        800
    
    
      7991
       NaN
       13
         Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       0
       0
       1135P-1235
       1135
       0035
    
    
      7992
       NaN
       14
         Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       0
       0
       1135P-1235
       1135
       0035
    
    
      7999
       NaN
        1
             Tu-F/5-530P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            5-530
        500
        530
    
    
      8001
       NaN
        2
             Tu-F/530-6P 
       30S
       2000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            530-6
        530
        600
    
    
      8003
       NaN
        3
             Tu-F/6-630P 
       30S
       3500
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            6-630
        600
        630
    
    
      8005
       NaN
        4
             Tu-F/7-730P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            7-730
        700
        730
    
    
      8007
       NaN
        5
             Tu-F/730-8P 
       30S
       5000
      2012-10-30
      2012-11-02
       1
       4
       4
      ...
       0
       1
       0
       0
       1
       0
       0
            730-8
        730
        800
    
    
      8009
       NaN
        6
                Tue/8-9P 
       30S
       7000
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       0
       0
              8-9
        800
        900
    
    
      8010
       NaN
        7
               Thu/9-10P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
             9-10
        900
       1000
    
    
      8011
       NaN
        8
              Thu/10-11P 
       30S
       6000
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       0
       0
            10-11
       1000
       1100
    
    
      8012
       NaN
        9
              Sat/7-730P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            7-730
        700
        730
    
    
      8013
       NaN
       10
              Sat/730-8P 
       30S
       2000
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
            730-8
        730
        800
    
    
      8014
       NaN
       11
               Sat/9-10P 
       30S
       2500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       1
       0
             9-10
        900
       1000
    
    
      8015
       NaN
       12
                Sun/1-4P 
       30S
       4000
      2012-11-04
      2012-11-04
       1
       2
       2
      ...
       0
       0
       0
       0
       0
       0
       1
              1-4
         10
        400
    
    
      8016
       NaN
       13
                Sun/4-7P 
       30S
       5000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              4-7
        400
        700
    
    
      8017
       NaN
       14
                Sun/7-8P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              7-8
        700
        800
    
    
      8018
       NaN
       15
                Sun/8-9P 
       30S
       6000
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       0
       1
              8-9
        800
        900
    
    
      8019
       NaN
       16
              Mon/5-530P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            5-530
        500
        530
    
    
      8020
       NaN
       17
              Mon/530-6P 
       30S
       2000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            530-6
        530
        600
    
    
      8021
       NaN
       18
              Mon/6-630P 
       30S
       3500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            6-630
        600
        630
    
    
      8022
       NaN
       19
              Mon/7-730P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            7-730
        700
        730
    
    
      8023
       NaN
       20
              Mon/730-8P 
       30S
       5000
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       0
       0
            730-8
        730
        800
    
  

4385 rows × 29 columns



In [83]:

    
def am(row_df):
    match = re.match(r"(.*)(A)", row_df)
    if match:
        return 1
    else:
        return 0
    
def pm(row_df):
    match = re.match(r"(.*)([NP])", row_df)
    if match:
        return 1
    else:
        return 0



In [84]:

    
non_candidate_2012_df['AM'] = non_candidate_2012_df['Time'].apply(am)
non_candidate_2012_df['PM'] = non_candidate_2012_df['Time'].apply(pm)



In [85]:

    
def change_12(row_df1, row_df2):
    if row_df1 == '1100':
        sub = re.sub('00', '1200', row_df2)
        return sub
    if row_df1 == '1130':
        sub = re.sub('0030', '1230', row_df2)
        return sub
    if row_df1 == '1135':
        sub = re.sub('0035', '1235', row_df2)
        return sub
    else:
        return row_df2



In [86]:

    
import datetime
import time

def convert_times(dt1, dt2):
    FMT = '%H%M'
    res1 = datetime.datetime(*time.strptime(dt1, FMT)[:6])
    res2 = datetime.datetime(*time.strptime(dt2, FMT)[:6])

   # if res2 != '0000':
    duration = res2 - res1
    #if res2 = '0000':
    #    duration = 
    return duration
    
    #days, seconds = duration.days, duration.seconds
    #hours = days * 24 + seconds // 3600
    #minutes = (seconds % 3600) // 60
    #seconds = (seconds % 60)
    
    #return hours, minutes
#td = datetime.timedelta(2, 7743, 12345)
#hours, minutes, seconds = convert_timedelta(td)
#print '{} minutes, {} hours'.format(minutes, hours)



In [87]:

    
change_12('1135', '1235')









    Out[87]:





'1235'



In [88]:

    
non_candidate_2012_df['End_Time'] = non_candidate_2012_df.apply(lambda row: change_12(row['Start_Time'], row['End_Time']), axis = 1)



In [89]:

    
#women_spain_df = df[(df['gender']=='f') &  (df['final_cc_cname_DI']=='Spain')]

#non_candidate_2012_df[(non_candidate_2012_df['Start_Time'] == '1100') & (non_candidate_2012_df['End_Time'] == '00')]['End_Time'].replace('00', '1200', inplace = True)



In [90]:

    
non_candidate_2012_df['Time'].value_counts()









    Out[90]:





9-10A           273
1135P-1235A     228
6-630A          217
7-730P          210
12N-1230P       202
7-9A            199
630-7A          195
4-5P            195
530-6P          193
530-6A          188
730-8P          186
3-4P            186
11-1135P        185
1230-2P         172
6-630P          161
10-11A          135
1235-135A       119
5-530P          115
630-7P          107
5-530A          103
10-11P          103
9-10P            95
8-9P             94
11A-12N          92
2-3P             66
9-11A            65
9-1030A          57
1130P-1230A      43
430-459A         39
7-8P             38
5-6P             23
1-4P             16
5-6A             12
6-7A             11
1030-11A         10
4-7P              8
11-1130P          6
10-1030P          6
3-330P            5
330-6P            5
1135-1235A        4
9-11P             3
730-830P          3
8-11P             3
1205-105A         2
930-1030P         1
830-930P          1
4-730P            1
330-7P            1
1-430P            1
5-630P            1
1030-1130A        1
Length: 52, dtype: int64



In [91]:

    
non_candidate_2012_df[(non_candidate_2012_df['Start_Time'] == '1100')]









    Out[91]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Wednesday
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
      Start_Time
      End_Time
      AM
      PM
    
  
  
    
      1   
       NaN
        1
          Sa-Su/11-1135P 
       30S
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
      ...
       0
       0
       0
       1
       1
       11-1135
       1100
       1135
       0
       1
    
    
      6   
       NaN
        6
           M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       1
       0
       1
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      13  
       NaN
       13
       M-W,F-Sa/11-1135P 
       30S
       1500
      2012-10-15
      2012-10-20
       1
       5
       5
      ...
       1
       0
       1
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      21  
       NaN
       21
             Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      28  
       NaN
       28
            Mon/11-1135P 
       30S
       1500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      272 
       NaN
       38
            Tue/11-1135P 
       30S
       1250
      2012-09-25
      2012-09-25
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      273 
       NaN
       39
            Thu/11-1135P 
       30S
       1250
      2012-09-27
      2012-09-27
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      274 
       NaN
       40
            Fri/11-1135P 
       30S
       1250
      2012-09-28
      2012-09-28
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      275 
       NaN
       41
            Sun/11-1135P 
       30S
       1250
      2012-09-30
      2012-09-30
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      295 
       NaN
        6
             W-F/11A-12N 
       30S
       1000
      2012-08-29
      2012-08-31
       1
       3
       3
      ...
       1
       0
       1
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      305 
       NaN
       16
            W-F/11-1135P 
       30S
        750
      2012-08-29
      2012-08-31
       1
       2
       2
      ...
       1
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      313 
       NaN
       24
             Mon/11A-12N 
       30S
       1000
      2012-09-03
      2012-09-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      319 
       NaN
       30
            Mon/11-1135P 
       30S
        750
      2012-09-03
      2012-09-03
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      534 
       NaN
        3
             Fri/11A-12N 
       30S
       1000
      2012-10-05
      2012-10-05
       1
       1
       1
      ...
       0
       0
       1
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      638 
       NaN
       55
             Wed/11A-12N 
       30S
       1000
      2012-10-03
      2012-10-03
       1
       1
       1
      ...
       1
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      795 
       NaN
        2
             Fri/11A-12N 
       30S
       1000
      2012-10-12
      2012-10-12
       1
       1
       1
      ...
       0
       0
       1
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      809 
       NaN
        9
             Mon/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-15
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      827 
       NaN
       18
             Thu/11A-12N 
       30S
       1000
      2012-10-11
      2012-10-11
       1
       1
       1
      ...
       0
       1
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      843 
       NaN
       26
             Tue/11A-12N 
       30S
       1000
      2012-10-09
      2012-10-09
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      857 
       NaN
       33
             Wed/11A-12N 
       30S
       1000
      2012-10-10
      2012-10-10
       1
       1
       1
      ...
       1
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      971 
       NaN
        3
            Fri/11-1135P 
       30S
       1250
      2012-09-28
      2012-09-28
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      1001
       NaN
       18
            Mon/11-1135P 
       30S
       1250
      2012-10-01
      2012-10-01
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      1003
       NaN
       19
             Mon/11A-12N 
       30S
       1000
      2012-10-01
      2012-10-01
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      1029
       NaN
       32
            Sat/11-1135P 
       30S
       1250
      2012-09-29
      2012-09-29
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      1043
       NaN
       39
            Sun/11-1135P 
       30S
       1250
      2012-09-30
      2012-09-30
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      1051
       NaN
       43
            Thu/11-1135P 
       30S
       1250
      2012-09-27
      2012-09-27
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      1053
       NaN
       44
             Thu/11A-12N 
       30S
       1000
      2012-09-27
      2012-09-27
       1
       1
       1
      ...
       0
       1
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      1081
       NaN
       58
            Tue/11-1135P 
       30S
       1250
      2012-10-02
      2012-10-02
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      1083
       NaN
       59
             Tue/11A-12N 
       30S
       1000
      2012-10-02
      2012-10-02
       1
       1
       1
      ...
       0
       0
       0
       0
       0
        11A-12
       1100
       1200
       1
       1
    
    
      1111
       NaN
       73
            Wed/11-1135P 
       30S
       1250
      2012-09-26
      2012-09-26
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7284
       NaN
        5
            Fri/11-1130P 
       30S
       1500
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1130
       1100
       1130
       0
       1
    
    
      7321
       NaN
        1
            Fri/11-1135P 
       30S
        500
      2012-10-12
      2012-10-12
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7351
       NaN
       16
            Mon/11-1135P 
       30S
        500
      2012-10-15
      2012-10-15
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7373
       NaN
       27
            Sat/11-1135P 
       30S
        500
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7383
       NaN
       32
            Sun/11-1135P 
       30S
        500
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      7397
       NaN
       39
            Thu/11-1135P 
       30S
        500
      2012-10-11
      2012-10-11
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7419
       NaN
       50
            Tue/11-1135P 
       30S
        500
      2012-10-09
      2012-10-09
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7441
       NaN
       61
            Wed/11-1135P 
       30S
        500
      2012-10-10
      2012-10-10
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7515
       NaN
       45
            Sat/11-1135P 
       30S
       1500
      2012-10-27
      2012-10-27
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7516
       NaN
       46
            Sun/11-1135P 
       30S
       1500
      2012-10-28
      2012-10-28
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      7517
       NaN
       47
            Mon/11-1135P 
       30S
       1500
      2012-10-29
      2012-10-29
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7518
       NaN
       48
            Tue/11-1135P 
       30S
       1500
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7519
       NaN
       49
            Wed/11-1135P 
       30S
       1500
      2012-10-31
      2012-10-31
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7520
       NaN
       50
            Thu/11-1135P 
       30S
       1500
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7521
       NaN
       51
            Fri/11-1135P 
       30S
       1500
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7522
       NaN
       52
            Sat/11-1135P 
       30S
       1500
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7523
       NaN
       53
            Sun/11-1135P 
       30S
       1500
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      7524
       NaN
       54
            Mon/11-1135P 
       30S
       1500
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7525
       NaN
       55
            Tue/11-1135P 
       30S
       1500
      2012-11-06
      2012-11-06
       1
       0
       0
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7591
       NaN
        2
            Fri/11-1135P 
       30S
        500
      2012-10-19
      2012-10-19
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7615
       NaN
       14
            Mon/11-1135P 
       30S
        500
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7639
       NaN
       26
            Sat/11-1135P 
       30S
        500
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
       0
       0
       0
       1
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7651
       NaN
       32
            Sun/11-1135P 
       30S
        500
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
       0
       0
       0
       0
       1
       11-1135
       1100
       1135
       0
       1
    
    
      7661
       NaN
       37
            Thu/11-1135P 
       30S
        500
      2012-10-18
      2012-10-18
       1
       1
       1
      ...
       0
       1
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7685
       NaN
       49
            Tue/11-1135P 
       30S
        500
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7711
       NaN
       62
            Wed/11-1135P 
       30S
        500
      2012-10-17
      2012-10-17
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7757
       NaN
       19
            Wed/11-1135P 
       30S
       1250
      2012-09-26
      2012-09-26
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7758
       NaN
       20
            Mon/11-1135P 
       30S
       1250
      2012-10-01
      2012-10-01
       1
       1
       1
      ...
       0
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7813
       NaN
       48
            Wed/11-1135P 
       30S
       1500
      2012-10-24
      2012-10-24
       1
       1
       1
      ...
       1
       0
       0
       0
       0
       11-1135
       1100
       1135
       0
       1
    
    
      7814
       NaN
       49
            Fri/11-1135P 
       30S
       1500
      2012-10-26
      2012-10-26
       1
       1
       1
      ...
       0
       0
       1
       0
       0
       11-1135
       1100
       1135
       0
       1
    
  

283 rows × 31 columns



In [92]:

    
#non_candidate_2012_df['End_Time'] = non_candidate_2012_df[non_candidate_2012_df['Start_Time'] == '1100']['End_Time'].replace('00', '1200')



In [93]:

    
#non_candidate_2012_df['End_Time'] = non_candidate_2012_df[non_candidate_2012_df['Start_Time'] == '1130']['End_Time'].replace('0030', '1200')



In [94]:

    
#non_candidate_2012_df['End_Time'] = non_candidate_2012_df[non_candidate_2012_df['Start_Time'] == '1135']['End_Time'].replace('0035', '1235')



In [95]:

    
#non_candidate_2012_df[non_candidate_2012_df['Start_Time'] == '1100']



In [96]:

    
FMT = '%H%M'
time.strptime('10', FMT)









    Out[96]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=0, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [97]:

    
FMT = '%H%M'
time.strptime('400', FMT)









    Out[97]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=4, tm_min=0, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [98]:

    
FMT = '%H%M'
time.strptime('20', FMT)









    Out[98]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=2, tm_min=0, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [99]:

    
FMT = '%H%M'
time.strptime('300', FMT)









    Out[99]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=3, tm_min=0, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [100]:

    
FMT = '%H%M'
time.strptime('05', FMT)









    Out[100]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=5, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [101]:

    
FMT = '%H%M'
time.strptime('105', FMT)









    Out[101]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=10, tm_min=5, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [102]:

    
FMT = '%H%M'
time.strptime('10', FMT)









    Out[102]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=0, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [103]:

    
FMT = '%H%M'
time.strptime('430', FMT)









    Out[103]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=4, tm_min=30, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [104]:

    
FMT = '%H%M'
time.strptime('0030', FMT)









    Out[104]:





time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=30, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)



In [104]:



In [105]:

    
non_candidate_2012_df['Duration'] = non_candidate_2012_df.apply(lambda row: convert_times(row['Start_Time'], row['End_Time']), axis = 1)



In [106]:

    
non_candidate_2012_df[(non_candidate_2012_df['AM'] == 1) & (non_candidate_2012_df['PM'] == 1)]









    Out[106]:






  
    
      
      Mod_Code
      Buy_Line
      Day/Time
      Length
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      ...
      Thursday
      Friday
      Saturday
      Sunday
      Time_Clean
      Start_Time
      End_Time
      AM
      PM
      Duration
    
  
  
    
      6   
       NaN
        6
          M-W,F/11A-12N 
       30S
       1000
      2012-10-15
      2012-10-19
       1
       4
       4
      ...
       0
       1
       0
       0
           11A-12
       1100
       1200
       1
       1
      01:00:00
    
    
      21  
       NaN
       21
            Mon/11A-12N 
       30S
       1000
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       0
       0
       0
       0
           11A-12
       1100
       1200
       1
       1
      01:00:00
    
    
      35  
       NaN
        1
        Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      57  
       NaN
       12
        Mon/1135P-1235A 
       30S
        300
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      93  
       NaN
       30
        Thu/1135P-1235A 
       30S
        300
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      115 
       NaN
       41
        Tue/1135P-1235A 
       30S
        300
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      138 
       NaN
       52
        Wed/1135P-1235A 
       30S
        300
      2012-10-31
      2012-10-31
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      187 
       NaN
       10
        Sat/1135P-1235A 
       30S
        150
      2012-09-22
      2012-09-22
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      197 
       NaN
       15
        Sun/1130P-1230A 
       30S
        150
      2012-09-23
      2012-09-23
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      276 
       NaN
       42
        Tue/1135P-1235A 
       30S
        250
      2012-09-25
      2012-09-25
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      277 
       NaN
       43
        Wed/1135P-1235A 
       30S
        250
      2012-09-26
      2012-09-26
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      278 
       NaN
       44
        Thu/1135P-1235A 
       30S
        250
      2012-09-27
      2012-09-27
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      279 
       NaN
       45
        Fri/1135P-1235A 
       30S
        250
      2012-09-28
      2012-09-28
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      280 
       NaN
       46
        Mon/1135P-1235A 
       30S
        250
      2012-10-01
      2012-10-01
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      281 
       NaN
       47
        Sun/1130P-1230A 
       30S
        150
      2012-09-30
      2012-09-30
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      295 
       NaN
        6
            W-F/11A-12N 
       30S
       1000
      2012-08-29
      2012-08-31
       1
       3
       3
      ...
       0
       1
       0
       0
           11A-12
       1100
       1200
       1
       1
      01:00:00
    
    
      306 
       NaN
       17
        W-F/1135P-1235A 
       30S
        250
      2012-08-29
      2012-08-31
       1
       4
       4
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      313 
       NaN
       24
            Mon/11A-12N 
       30S
       1000
      2012-09-03
      2012-09-03
       1
       1
       1
      ...
       0
       0
       0
       0
           11A-12
       1100
       1200
       1
       1
      01:00:00
    
    
      320 
       NaN
       31
        Mon/1135P-1235A 
       30S
        250
      2012-09-03
      2012-09-03
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      343 
       NaN
        9
        Sat/1135P-1235A 
       30S
        200
      2012-11-03
      2012-11-03
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      349 
       NaN
       12
        Sun/1130P-1230A 
       30S
        300
      2012-11-04
      2012-11-04
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      384 
       NaN
        1
        Fri/1135P-1235A 
       30S
        300
      2012-10-12
      2012-10-12
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      396 
       NaN
        7
        Mon/1135P-1235A 
       30S
        300
      2012-10-08
      2012-10-08
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      408 
       NaN
       13
        Sat/1135P-1235A 
       30S
        100
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      418 
       NaN
       18
        Sun/1135P-1235A 
       30S
        150
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       1
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      422 
       NaN
       20
        Thu/1135P-1235A 
       30S
        300
      2012-10-11
      2012-10-11
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      434 
       NaN
       26
        Tue/1135P-1235A 
       30S
        300
      2012-10-09
      2012-10-09
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      446 
       NaN
       32
        Wed/1135P-1235A 
       30S
        300
      2012-10-10
      2012-10-10
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      476 
       NaN
        7
        Mon/1135P-1235A 
       30S
        250
      2012-10-08
      2012-10-08
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      494 
       NaN
       16
        Thu/1135P-1235A 
       30S
        250
      2012-10-04
      2012-10-04
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      7264
       NaN
       24
           M-Tu/11A-12N 
       30S
       1000
      2012-09-24
      2012-09-25
       1
       2
       2
      ...
       0
       0
       0
       0
           11A-12
       1100
       1200
       1
       1
      01:00:00
    
    
      7323
       NaN
        2
        Fri/1135P-1235A 
       30S
        300
      2012-10-12
      2012-10-12
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7375
       NaN
       28
        Sat/1135P-1235A 
       30S
        150
      2012-10-13
      2012-10-13
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7385
       NaN
       33
        Sun/1130P-1230A 
       30S
        150
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      7443
       NaN
       62
        Wed/1135P-1235A 
       30S
        300
      2012-10-10
      2012-10-10
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7526
       NaN
       56
        Tue/1135P-1235A 
       30S
        300
      2012-10-30
      2012-10-30
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7527
       NaN
       57
        Wed/1135P-1235A 
       30S
        300
      2012-10-31
      2012-10-31
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7528
       NaN
       58
        Thu/1135P-1235A 
       30S
        300
      2012-11-01
      2012-11-01
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7529
       NaN
       59
        Fri/1135P-1235A 
       30S
        300
      2012-11-02
      2012-11-02
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7530
       NaN
       60
        Mon/1135P-1235A 
       30S
        300
      2012-11-05
      2012-11-05
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7541
       NaN
       71
        Sat/1135P-1235A 
       30S
        100
      2012-10-27
      2012-10-27
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7546
       NaN
       76
        Sun/1130P-1230A 
       30S
        150
      2012-10-28
      2012-10-28
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      7617
       NaN
       15
        Mon/1135P-1235A 
       30S
        300
      2012-10-22
      2012-10-22
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7641
       NaN
       27
        Sat/1135P-1235A 
       30S
        150
      2012-10-20
      2012-10-20
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7653
       NaN
       33
        Sun/1130P-1230A 
       30S
        150
      2012-10-21
      2012-10-21
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      7663
       NaN
       38
        Thu/1135P-1235A 
       30S
        300
      2012-10-18
      2012-10-18
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7687
       NaN
       50
        Tue/1135P-1235A 
       30S
        300
      2012-10-16
      2012-10-16
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7815
       NaN
       50
        Mon/1135P-1235A 
       30S
        400
      2012-10-29
      2012-10-29
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7816
       NaN
       51
        Tue/1135P-1235A 
       30S
        400
      2012-10-23
      2012-10-23
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7817
       NaN
       52
        Thu/1135P-1235A 
       30S
        400
      2012-10-25
      2012-10-25
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7818
       NaN
       53
        Sat/1135P-1235A 
       30S
        250
      2012-10-27
      2012-10-27
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7819
       NaN
       54
        Sun/1130P-1230A 
       30S
        250
      2012-10-28
      2012-10-28
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      7855
       NaN
       29
       Tu-F/1135P-1235A 
       30S
        350
      2012-10-09
      2012-10-12
       1
       2
       2
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7858
       NaN
       32
        Sun/1130P-1230A 
       30S
        200
      2012-10-14
      2012-10-14
       1
       1
       1
      ...
       0
       0
       0
       1
       1130P-1230
       1130
       1230
       1
       1
      01:00:00
    
    
      7883
       NaN
       10
        Mon/1135P-1235A 
       30S
        250
      2012-10-08
      2012-10-08
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7901
       NaN
       19
        Sat/1135P-1235A 
       30S
        150
      2012-10-06
      2012-10-06
       1
       1
       1
      ...
       0
       0
       1
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7917
       NaN
       27
        Thu/1135P-1235A 
       30S
        250
      2012-10-04
      2012-10-04
       1
       1
       1
      ...
       1
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7937
       NaN
       37
        Tue/1135P-1235A 
       30S
        250
      2012-10-02
      2012-10-02
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7991
       NaN
       13
        Wed/1135P-1235A 
       60S
        500
      2012-09-19
      2012-09-19
       1
       1
       1
      ...
       0
       0
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
    
      7992
       NaN
       14
        Fri/1135P-1235A 
       60S
        500
      2012-09-21
      2012-09-21
       1
       1
       1
      ...
       0
       1
       0
       0
       1135P-1235
       1135
       1235
       1
       1
      01:00:00
    
  

363 rows × 32 columns



In [107]:

    
non_candidate_2012_df[non_candidate_2012_df['Duration']<1]['Time_Clean'].value_counts()









    Out[107]:





Series([], dtype: int64)



In [108]:

    
#pd.concat([s1, s2], axis=1)

time_df = pd.concat([non_candidate_2012_df['End_Time'].value_counts(), non_candidate_2012_df['Start_Time'].value_counts()], axis = 1)

time_df.index









    Out[108]:





Index([u'00', u'0030', u'0035', u'05', u'10', u'1000', u'1030', u'1100', u'1130', u'1135', u'1200', u'1230', u'1235', u'135', u'15', u'20', u'300', u'330', u'400', u'430', u'459', u'500', u'530', u'600', u'630', u'700', u'730', u'800', u'830', u'900', u'930'], dtype='object')



In [109]:

    
#non_candidate_2012_df['End_Time'].value_counts()



In [110]:

    
def twelve(row1, row2):
    match1 = re.match(r"00", row1)
    match2 = re.match(r"1200", row1)
    match3 = re.match(r"00", row2)
    match4 = re.match(r"1200", row2)
    if match1 or match2 or match3 or match4:
        return 1
    else:
        return 0
    
def twelve_thirty(row1, row2):
    match1 = re.match(r"0030", row1)
    match2 = re.match(r"0030", row2)
    match3 = re.match(r"1230", row1)
    match4 = re.match(r"1230", row2)
    if match1 or match2 or match3 or match4:
        return 1
    else:
        return 0
    
def twelve_thirty_five(row1, row2):
    match1 = re.match(r"0035", row1)
    match2 = re.match(r"1235", row2)
    match3 = re.match(r"0035", row1)
    match4 = re.match(r"1235", row2)
    if match1 or match2 or match3 or match4:
        return 1
    else:
        return 0
    
def twelve_o_five(row1, row2):
    match1 = re.match(r"05", row1)
    match2 = re.match(r"05", row2)
    if match1 or match2:
        return 1
    else:
        return 0

def one(row1, row2):
    match1 = re.match(r"10", row1)
    match2 = re.match(r"10", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def ten(row1, row2):
    match1 = re.match(r"1000", row1)
    match2 = re.match(r"1000", row2)
    if match1 or match2:
        return 1
    else:
        return 0

def ten_thirty(row1, row2):
    match1 = re.match(r"1030", row1)
    match2 = re.match(r"1030", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def eleven(row1, row2):
    match1 = re.match(r"1100", row1)
    match2 = re.match(r"1100", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def eleven_thirty(row1, row2):
    match1 = re.match(r"1130", row1)
    match2 = re.match(r"1130", row2)
    if match1 or match2:
        return 1
    else:
        return 0    
    
def eleven_thirty_five(row1, row2):
    match1 = re.match(r"1135", row1)
    match2 = re.match(r"1135", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def one_thirty(row1, row2):
    match1 = re.match(r"130", row1)
    match2 = re.match(r"130", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def one_thirty_five(row1, row2):
    match1 = re.match(r"135", row1)
    match2 = re.match(r"135", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def one_o_five(row1, row2):
    match1 = re.match(r"15", row1)
    match2 = re.match(r"15", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def two(row1, row2):
    match1 = re.match(r"20", row1)
    match2 = re.match(r"20", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def three(row1, row2):
    match1 = re.match(r"300", row1)
    match2 = re.match(r"300", row2)
    if match1 or match2:
        return 1
    else:
        return 0

def three_thirty(row1, row2):
    match1 = re.match(r"330", row1)
    match2 = re.match(r"330", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def four(row1, row2):
    match1 = re.match(r"400", row1)
    match2 = re.match(r"400", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def four_thirty(row1, row2):
    match1 = re.match(r"430", row1)
    match2 = re.match(r"430", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def four_fifty_nine(row1, row2):
    match1 = re.match(r"459", row1)
    match2 = re.match(r"459", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def five(row1, row2):
    match1 = re.match(r"500", row1)
    match2 = re.match(r"500", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def five_thirty(row1, row2):
    match1 = re.match(r"530", row1)
    match2 = re.match(r"530", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def six(row1, row2):
    match1 = re.match(r"600", row1)
    match2 = re.match(r"600", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def six_thirty(row1, row2):
    match1 = re.match(r"630", row1)
    match2 = re.match(r"630", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def seven(row1, row2):
    match1 = re.match(r"700", row1)
    match2 = re.match(r"700", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def seven_thirty(row1, row2):
    match1 = re.match(r"730", row1)
    match2 = re.match(r"730", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def seven_fifty_eight(row1, row2):
    match1 = re.match(r"758", row1)
    match2 = re.match(r"758", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def eight(row1, row2):
    match1 = re.match(r"800", row1)
    match2 = re.match(r"800", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def eight_thirty(row1, row2):
    match1 = re.match(r"830", row1)
    match2 = re.match(r"830", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def nine(row1, row2):
    match1 = re.match(r"900", row1)
    match2 = re.match(r"900", row2)
    if match1 or match2:
        return 1
    else:
        return 0
    
def nine_thirty(row1, row2):
    match1 = re.match(r"930", row1)
    match2 = re.match(r"930", row2)
    if match1 or match2:
        return 1
    else:
        return 0



In [111]:

    
def double_day(row1, row2, row3):
    match1 = re.match(r"(.*)(A)(.*)", row3)
    if match1:
        if row1 ==1 and row2 ==1:
            return 1
    match2 = re.match(r"(.*)(P)(.*)", row3)
    if match2:
        if row1 ==1 and row2 ==1:
            return 1



In [112]:

    
non_candidate_2012_df['10:00'] = non_candidate_2012_df.apply(lambda row: ten(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['10:30'] = non_candidate_2012_df.apply(lambda row: ten_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['11:00'] = non_candidate_2012_df.apply(lambda row: eleven(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['11_AM'] = non_candidate_2012_df.apply(lambda row: double_day(row['AM'], row['PM'], row['Time_Clean']), axis = 1)

non_candidate_2012_df['11_PM'] = non_candidate_2012_df.apply(lambda row: double_day(row['AM'], row['PM'], row['Time_Clean']), axis = 1)

non_candidate_2012_df['11:30'] = non_candidate_2012_df.apply(lambda row: eleven_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['11:35'] = non_candidate_2012_df.apply(lambda row: eleven_thirty_five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['12:00'] = non_candidate_2012_df.apply(lambda row: twelve(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['12:05'] = non_candidate_2012_df.apply(lambda row: twelve_o_five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['12:30'] = non_candidate_2012_df.apply(lambda row: twelve_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['12:35'] = non_candidate_2012_df.apply(lambda row: twelve_thirty_five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['1:00'] = non_candidate_2012_df.apply(lambda row: one(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['1:05'] = non_candidate_2012_df.apply(lambda row: one_o_five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['1:30'] = non_candidate_2012_df.apply(lambda row: one_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['1:35'] = non_candidate_2012_df.apply(lambda row: one_thirty_five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['2:00'] = non_candidate_2012_df.apply(lambda row: two(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['3:00'] = non_candidate_2012_df.apply(lambda row: three(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['3:30'] = non_candidate_2012_df.apply(lambda row: three_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['4:00'] = non_candidate_2012_df.apply(lambda row: four(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['4:30'] = non_candidate_2012_df.apply(lambda row: four_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['4:59'] = non_candidate_2012_df.apply(lambda row: four_fifty_nine(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['5:00'] = non_candidate_2012_df.apply(lambda row: five(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['5:30'] = non_candidate_2012_df.apply(lambda row: five_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['6:00'] = non_candidate_2012_df.apply(lambda row: six(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['6:30'] = non_candidate_2012_df.apply(lambda row: six_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['7:00'] = non_candidate_2012_df.apply(lambda row: seven(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['7:30'] = non_candidate_2012_df.apply(lambda row: seven_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['7:58'] = non_candidate_2012_df.apply(lambda row: seven_fifty_eight(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['8:00'] = non_candidate_2012_df.apply(lambda row: eight(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['8:30'] = non_candidate_2012_df.apply(lambda row: eight_thirty(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['9:00'] = non_candidate_2012_df.apply(lambda row: nine(row['Start_Time'], row['End_Time']), axis = 1)

non_candidate_2012_df['9:30'] = non_candidate_2012_df.apply(lambda row: nine_thirty(row['Start_Time'], row['End_Time']), axis = 1)



In [113]:

    
non_candidate_2012_df.columns









    Out[113]:





Index([u'Mod_Code', u'Buy_Line', u'Day/Time', u'Length', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Advertiser_Name', u'Day', u'Time', u'Monday', u'Tuesday', u'Wednesday', u'Thursday', u'Friday', u'Saturday', u'Sunday', u'Time_Clean', u'Start_Time', u'End_Time', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30'], dtype='object')



In [114]:

    
import re
def split_length(row_df):
    temp_string = str(row_df)
    match = re.match(r"(^.*)(S)", temp_string)
    if match:
        return match.group(1)



In [115]:

    
non_candidate_2012_df['Length_in_Sec'] = non_candidate_2012_df['Length'].apply(split_length)



In [116]:

    
non_candidate_2012_df[(non_candidate_2012_df['AM'] == 1) & (non_candidate_2012_df['PM'] == 1)]['Time_Clean'].value_counts()









    Out[116]:





1135P-1235    228
11A-12         92
1130P-1230     43
dtype: int64



In [117]:

    
non_candidate_2012_df.columns









    Out[117]:





Index([u'Mod_Code', u'Buy_Line', u'Day/Time', u'Length', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Advertiser_Name', u'Day', u'Time', u'Monday', u'Tuesday', u'Wednesday', u'Thursday', u'Friday', u'Saturday', u'Sunday', u'Time_Clean', u'Start_Time', u'End_Time', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Length_in_Sec'], dtype='object')



In [118]:

    
non_candidate_2012_df = non_candidate_2012_df[['Advertiser_Name', 'Mod_Code', 'Buy_Line', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Length_in_Sec', 'AM', 'PM', 'Duration', '10:00', '10:30', '11:00', '11_AM', '11_PM', '11:30', '11:35', '12:00', '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', '8:00', u'8:30', '9:00', '9:30']]



In [119]:

    
non_candidate_2012_df['Advertiser_Name'].value_counts()









    Out[119]:





2012/CARE FOR MICHIGAN.11 (13506539295212)_df               161
2012/PROTECT WORKING FAMILY 1 (13481557669060)_df            98
2012/MI ENERGY MI JOBS.7 (13492755562246)_df                 95
2012/PROTECT WORKING FAMILY (13479126389484)_df              91
2012/Michigan Energy Michigan Jobs 3 (13454757244860)_df     90
2012/PROTECT MI TAXPAYERS.3 (13492737539860)_df              89
2012/Protecting MI Taxpayers.5 (13492780257873)_df           87
2012/Protecting MI Taxpayers.7 (13492787363385)_df           87
2012/PROTECTING MI TAXPAYERS.4 (13492780124605)_df           87
2012/Protecting MI Taxpayers.6 (13492780451861)_df           87
2012/PROTECT MI TAXPAYERS.2 (13485880715350)_df              86
2012/CIT 4 AFF QUALTITY HOMECARE (13478952825590)_df         83
2012/CARE FOR MICHIGAN.12 (13506544189473)_df                82
2012/PROTECT OUR JOBS 10 (13472827215520)_df                 74
2012/MI ENERGY MI JOBS 5 (13475645774559)_df                 73
...
2012/CARE FOR MICHIGAN 6 (13481579522794)_df        17
2012/JUDICIAL CRISIS NETWORK (13517062888744)_df    14
2012/CARE OF MICHIGAN 3 (13475494128957)_df         14
2012/CARE OF MICHIGAN 9 (13481735815432)_df         13
2012/CARE FOR MICHIGAN 7 (13481579814893)_df        12
2012/DETROIT BRIDGE.11 (13506540272263)_df          11
2012/MDSCC-HD91.3 (13517054721474)_df               11
2012/MDSCC-FIEGER (13499648512925)_df               10
2012/STAND UP FOR DEMOCRACY (13503913293148)_df      8
2012/PROTECT MI TAXPAYERS.9 (13517034856968)_df      7
2012/60 PLUS. (13517071561034)_df                    4
2012/DETROIT BRIDGE 2 (13451219750913)_df            4
2012/CARE OF MICHIGAN 10 (13481738621590)_df         4
2012/AMER. FUTURE FUND (13517038006806)_df           3
2012/HARD WORKING AMERICANS (13510911887672)_df      2
Length: 103, dtype: int64



In [120]:

    
def advertiser(row_df):
    match = re.match(r"(^.*\/)(.*)([\. ])(\()(.*)(\))(_df)", row_df)
    if match:
        return match.group(2)



In [121]:

    
def contract(row_df):
    match = re.match(r"(^.*\/)(.*)([\. ])(\()(.*)(\))(_df)", row_df)
    if match:
        return match.group(5)



In [122]:

    
advertiser('2012/MDSCC-HD91.3 (13517054721474)_df')









    Out[122]:





'MDSCC-HD91.3'



In [123]:

    
non_candidate_2012_df['Advertiser'] = non_candidate_2012_df['Advertiser_Name'].apply(advertiser)



In [124]:

    
non_candidate_2012_df['Contract'] = non_candidate_2012_df['Advertiser_Name'].apply(contract)



In [125]:

    
non_candidate_2012_df.columns









    Out[125]:





Index([u'Advertiser_Name', u'Mod_Code', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Advertiser', u'Contract'], dtype='object')



In [126]:

    
non_candidate_2012_df = non_candidate_2012_df[['Advertiser', 'Contract', 'Buy_Line', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Length_in_Sec', 'AM', 'PM', 'Duration', '10:00', '10:30', '11:00', '11_AM', '11_PM', '11:30', '11:35', '12:00', '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', '8:00', '8:30', '9:00', '9:30']]



In [127]:

    
non_candidate_2012_df['Advertiser'].value_counts()









    Out[127]:





CARE FOR MICHIGAN.11               161
PROTECT WORKING FAMILY 1            98
MI ENERGY MI JOBS.7                 95
PROTECT WORKING FAMILY              91
Michigan Energy Michigan Jobs 3     90
PROTECT MI TAXPAYERS.3              89
Protecting MI Taxpayers.7           87
Protecting MI Taxpayers.5           87
PROTECTING MI TAXPAYERS.4           87
Protecting MI Taxpayers.6           87
PROTECT MI TAXPAYERS.2              86
CIT 4 AFF QUALTITY HOMECARE         83
CARE FOR MICHIGAN.12                82
PROTECT OUR JOBS 10                 74
MI ENERGY MI JOBS 5                 73
...
MI GOP.6                   17
CARE OF MICHIGAN 3         14
JUDICIAL CRISIS NETWORK    14
CARE OF MICHIGAN 9         13
CARE FOR MICHIGAN 7        12
DETROIT BRIDGE.11          11
MDSCC-HD91.3               11
MDSCC-FIEGER               10
STAND UP FOR DEMOCRACY      8
PROTECT MI TAXPAYERS.9      7
CARE OF MICHIGAN 10         4
DETROIT BRIDGE 2            4
60 PLUS.                    4
AMER. FUTURE FUND           3
HARD WORKING AMERICANS      2
Length: 103, dtype: int64



In [128]:

    
def advertiser2(row_df):
    return row_df[:-2]



In [129]:

    
non_candidate_2012_df['Advertiser_Clean'] = non_candidate_2012_df['Advertiser'].apply(advertiser2)



In [130]:

    
non_candidate_2012_df = non_candidate_2012_df[['Advertiser', 'Advertiser_Clean', 'Contract', 'Buy_Line', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Length_in_Sec', 'AM', 'PM', 'Duration', '10:00', '10:30', '11:00', '11_AM', '11_PM', '11:30', '11:35', '12:00', '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', '8:00', '8:30', '9:00', '9:30']]



In [131]:

    
non_candidate_2012_df['Advertiser_Clean'].value_counts()









    Out[131]:





MI ENERGY MI JOBS                      344
PROTECT WORKING FAMILY                 269
Protecting MI Taxpayers                261
PROTECT MI TAXPAYERS                   259
CARE FOR MICHIGAN.                     243
DIBC                                   235
Michigan Energy Michigan Jobs          234
CARE FOR MICHIGAN                      209
MDSCC-SC                               168
CIT 4 AFF QUALITY HOMECARE             152
RESTORE OUR FUTURE                     137
PROTECT OUR JOBS                        99
MI GOP                                  93
PROTECT WORKING FAMI                    91
PROTECTING MI TAXPAYERS                 87
CIT 4 AFF QUALTITY HOMECA               83
DIBC.                                   82
PROTECT MI VOTE                         81
MDSCC-HD91                              78
PROTECT OUR JOBS                        74
MDSCC-HD                                72
DEFEND MI DEMOCRA                       63
protect our jobs                        61
MI Energy MI Jobs.                      60
Protect our Jobs                        60
MI Dem St Central                       54
CARE FOR MICHIG                         47
MI DEM ST CENTR                         46
MICH EDU. ASS                           46
Michigan Energy Michigan Jobs.          46
PROTECT MI TAXPAYE                      44
Detroit Bridge                          40
CIT FOR AFFORDABLE QUALITY HOMECARE     38
RESTORE                                 33
MDSCC-                                  32
CIT 4 AFF QUALTY HOMECARE               32
PROTECT MI TAXPAYERS.                   31
MI Energy MI Jobs                       30
TAXPAYER AGAINST MONOPOLI               29
MI ENERGY MI JOBS.                      28
Citizen Protect MI stitution            28
Protect Working Families                27
Restore our Future                      27
CARE OF MICHIGAN                        27
CITIZEN PROTECT MI                      25
Stand up for Democracy                  20
JUDICIAL CRISIS NETWO                   14
DETROIT BRIDGE.                         11
MDSCC-FIEG                              10
STAND UP FOR DEMOCRA                     8
CARE OF MICHIGAN                         4
60 PLU                                   4
DETROIT BRIDGE                           4
AMER. FUTURE FU                          3
HARD WORKING AMERICA                     2
Length: 55, dtype: int64



In [132]:

    
non_candidate_2012_df.columns









    Out[132]:





Index([u'Advertiser', u'Advertiser_Clean', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30'], dtype='object')



In [133]:

    
shows_df = pd.DataFrame(non_candidate_2012_df['Program_Name'].value_counts())



In [134]:

    
shows_df.to_csv('/home/admin/shows.csv')



In [135]:

    
shows_df









    Out[135]:






  
    
      
      0
    
  
  
    
      NEWS
       227
    
    
      NWSCHNL3 AT 6A
       178
    
    
      DR. PHIL
       165
    
    
      LIVE WTH KELLY
       131
    
    
      ANDERSON
       130
    
    
      JEOPARDY
       120
    
    
      SOAP OPERA ROTATION
       104
    
    
      CBS THS MRNG-2<
       103
    
    
      LIVE WITH KELLY
       100
    
    
      LT-FERGUSN-CBS<
        99
    
    
      D LETTRMAN-CBS<
        99
    
    
      NWSCHNL3 AT 5A
        99
    
    
      PRICE IS RIGHT
        90
    
    
      LETS-DEAL1-CBS/LETS-DEAL2-CBS
        89
    
    
      CBS THIS MORNING
        80
    
    
      WHEEL OF FORTUNE
        79
    
    
      NWSCHNL3-NOON
        66
    
    
      LETTERMAN
        63
    
    
      NWSCHNL3-530PM
        61
    
    
      WHEEL-FORTNE
        59
    
    
      11P NEWS
        49
    
    
      6A NEWS
        48
    
    
      PM SOAP ROTATION
        45
    
    
      NEW CBS TALK SHOW
        45
    
    
      NOON NEWS
        45
    
    
      ANDERSON COOPER
        44
    
    
      NWSCHNL3 AT 6P
        42
    
    
      DR PHIL
        42
    
    
      NEWSCHANNEL3 AT 11P
        41
    
    
      NWSCHNL311AT11<
        41
    
    
      ...
      ...
    
    
      HAWAII
         1
    
    
      SUN CBS THIS MORNING
         1
    
    
      SEC FOOTBALL
         1
    
    
      NEWS 3 THIS MRN
         1
    
    
      NFL GAME 2
         1
    
    
      LATE NEWSW AT 11PM
         1
    
    
      NFL FOOTBALL
         1
    
    
      COMEDYTIME
         1
    
    
      BIG BANG/TWO TALF MEN
         1
    
    
      BIG BROTHER
         1
    
    
      CBS SUNDAY AM
         1
    
    
      SAT WHEEL FOTURNE
         1
    
    
      NCAA GAME OF THE WEEK
         1
    
    
      SEC AL V LSU
         1
    
    
      SAT CBS THIS MORN
         1
    
    
      MICH VS ILLIN
         1
    
    
      48HR MYSTERY
         1
    
    
      CBS SUN MORNING
         1
    
    
      NEWS 3 AT 5 P
         1
    
    
      PRES DEBATE
         1
    
    
      CRIME MINDS
         1
    
    
      SEC
         1
    
    
      CBS THIS MORN
         1
    
    
      SU CBS THIS MORN
         1
    
    
      CRIMTME SA-CBS
         1
    
    
      WKND EARLY NEWS
         1
    
    
      NEWS 3 THIS AM
         1
    
    
      NEWS 2 THIS MORNING
         1
    
    
      48HR MSTRY-CBS
         1
    
    
      SUN MORN
         1
    
  

249 rows × 1 columns



In [136]:

    
non_candidate_2012_df['Program_Name'].value_counts()









    Out[136]:





NEWS                             227
NWSCHNL3 AT 6A                   178
DR. PHIL                         165
LIVE WTH KELLY                   131
ANDERSON                         130
JEOPARDY                         120
SOAP OPERA ROTATION              104
CBS THS MRNG-2<                  103
LIVE WITH KELLY                  100
LT-FERGUSN-CBS<                   99
D LETTRMAN-CBS<                   99
NWSCHNL3 AT 5A                    99
PRICE IS RIGHT                    90
LETS-DEAL1-CBS/LETS-DEAL2-CBS     89
CBS THIS MORNING                  80
...
MICH VS ILLIN          1
48HR MYSTERY           1
CBS SUN MORNING        1
NEWS 3 AT 5 P          1
PRES DEBATE            1
CRIME MINDS            1
SEC                    1
CBS THIS MORN          1
SU CBS THIS MORN       1
CRIMTME SA-CBS         1
WKND EARLY NEWS        1
NEWS 3 THIS AM         1
NEWS 2 THIS MORNING    1
48HR MSTRY-CBS         1
SUN MORN               1
Length: 249, dtype: int64



In [136]:



In [137]:

    
def advertiser3(row_df):
    match1 = re.match(r"(.*)(CARE FOR MICHIG.*)(.*)", str(row_df))
    if match1:
        return 'CARE FOR MICHIGAN'
    
    match2 = re.match(r"(.*)(CARE OF MICHIG.*)(.*)", str(row_df))
    if match2:
        return 'CARE FOR MICHIGAN'
    
    match3 = re.match(r"(.*)(CIT 4.*)(.*)", str(row_df))
    if match3:
        return 'CIT 4 AFF QUALITY HOMECARE'
    
    match4 = re.match(r"(.*)(CIT FOR AFFORD.*)(.*)", str(row_df))
    if match4:
        return 'CIT 4 AFF QUALITY HOMECARE'
    
    match5 = re.match(r"(.*)(CITIZEN PROTECT.*)(.*)", str(row_df))
    if match5:
        return 'CITIZEN PROTECT MI'
    
    match6 = re.match(r"(.*)(Citizen Protect.*)(.*)", str(row_df))
    if match6:
        return 'CITIZEN PROTECT MI'
    
    match7 = re.match(r"(.*)(DETROIT BRI.*)(.*)", str(row_df))
    if match7:
        return 'DETROIT INTERNATIONAL BRIDGE CO'
    
    match8 = re.match(r"(.*)(Detroit Bri.*)(.*)", str(row_df))
    if match8:
        return 'DETROIT BRIDGE'
    
    match9 = re.match(r"(.*)(DIBC.*)(.*)", str(row_df))
    if match9:
        return 'DETROIT INTERNATIONAL BRIDGE CO'
    
    match10 = re.match(r"(.*)(MDSCC.*)(.*)", str(row_df))
    if match10:
        return 'MI DEM ST CENTRAL' #how can they do non-candidate issue ads?
    
    match11 = re.match(r"(.*)(MI DEM ST.*)(.*)", str(row_df))
    if match11:
        return 'MI DEM ST CENTRAL'
    
    match12 = re.match(r"(.*)(MI Dem St.*)(.*)", str(row_df))
    if match12:
        return 'MI DEM ST CENTRAL'
    
    match13 = re.match(r"(.*)(MI Energy.*)(.*)", str(row_df))
    if match13:
        return 'MI ENERGY MI JOBS'
    
    match14 = re.match(r"(.*)(MI ENERGY.*)(.*)", str(row_df))
    if match14:
        return 'MI ENERGY MI JOBS'
    
    match15 = re.match(r"(.*)(Michigan Energy.*)(.*)", str(row_df))
    if match15:
        return 'MI ENERGY MI JOBS'
    
    match16 = re.match(r"(.*)(PROTECT MI T.*)(.*)", str(row_df))
    if match16:
        return 'PROTECT MI TAXPAYERS'
    
    match17 = re.match(r"(.*)(PROTECTING MI T.*)(.*)", str(row_df))
    if match17:
        return 'PROTECT MI TAXPAYERS'
    
    match18 = re.match(r"(.*)(Protecting MI T.*)(.*)", str(row_df))
    if match18:
        return 'PROTECT MI TAXPAYERS'
    
    match19 = re.match(r"(.*)(Protect our.*)(.*)", str(row_df))
    if match19:
        return 'PROTECT OUR JOBS'
    
    match20 = re.match(r"(.*)(PROTECT OUR.*)(.*)", str(row_df))
    if match20:
        return 'PROTECT OUR JOBS'
    
    match21 = re.match(r"(.*)(PROTECT WORKING.*)(.*)", str(row_df))
    if match21:
        return 'PROTECT WORKING FAMILIES'
    
    match22 = re.match(r"(.*)(Protect Working.*)(.*)", str(row_df))
    if match22:
        return 'PROTECT WORKING FAMILIES'
    
    match23 = re.match(r"(.*)(RESTORE.*)(.*)", str(row_df))
    if match23:
        return 'RESTORE OUR FUTURE'
    
    match24 = re.match(r"(.*)(Restore.*)(.*)", str(row_df))
    if match24:
        return 'RESTORE OUR FUTURE'
    
    match25 = re.match(r"(.*)(STAND UP.*)(.*)", str(row_df))
    if match25:
        return 'STAND UP FOR DEMOCRACY'
    
    match26 = re.match(r"(.*)(Stand up.*)(.*)", str(row_df))
    if match26:
        return 'STAND UP FOR DEMOCRACY'
    
    match20 = re.match(r"(.*)(protect our.*)(.*)", str(row_df))
    if match20:
        return 'PROTECT OUR JOBS'
    
    else:
        return row_df



In [138]:

    
non_candidate_2012_df = non_candidate_2012_df[['Advertiser_Clean', 'Contract', 'Buy_Line', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Length_in_Sec', 'AM', 'PM', 'Duration', '10:00', '10:30', '11:00', '11_AM', '11_PM', '11:30', '11:35', '12:00', '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', '8:00', '8:30', '9:00', '9:30']]



In [139]:

    
non_candidate_2012_df['Advertiser_Clean2'] = non_candidate_2012_df['Advertiser_Clean'].apply(advertiser3)



In [140]:

    
non_candidate_2012_df['Advertiser_Clean2'].value_counts()









    Out[140]:





MI ENERGY MI JOBS                  742
PROTECT MI TAXPAYERS               682
CARE FOR MICHIGAN                  530
MI DEM ST CENTRAL                  460
PROTECT WORKING FAMILIES           387
DETROIT INTERNATIONAL BRIDGE CO    332
CIT 4 AFF QUALITY HOMECARE         305
PROTECT OUR JOBS                   294
RESTORE OUR FUTURE                 197
MI GOP                              93
PROTECT MI VOTE                     81
DEFEND MI DEMOCRA                   63
CITIZEN PROTECT MI                  53
MICH EDU. ASS                       46
DETROIT BRIDGE                      40
TAXPAYER AGAINST MONOPOLI           29
STAND UP FOR DEMOCRACY              28
JUDICIAL CRISIS NETWO               14
60 PLU                               4
AMER. FUTURE FU                      3
HARD WORKING AMERICA                 2
dtype: int64



In [141]:

    
non_candidate_2012_df = non_candidate_2012_df[['Advertiser_Clean2', 'Contract', 'Buy_Line', 'Rate', 'Starting_Date', 'Ending_Date', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Program_Name', 'Rating_RA35+', 'Rep:_RA35+', 'Last_Activity', 'Last_Mod/Rev', 'Length_in_Sec', 'AM', 'PM', 'Duration', '10:00', '10:30', '11:00', '11_AM', '11_PM', '11:30', '11:35', '12:00', '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', '8:00', '8:30', '9:00', '9:30']]



In [271]:

    
def liberal(row1):
    if row1 == 'MI ENERGY MI JOBS':
        return 300
    
    if row1 == 'PROTECT MI TAXPAYERS':
        return 0
    
    if row1 == 'CARE FOR MICHIGAN':
        return 0
    
    if row1 == 'PROTECT WORKING FAMILIES':
        return 300
    
    if row1 == 'PROTECT MI VOTE':
        return 300
    
    if row1 == 'DETROIT INTERNATIONAL BRIDGE CO':
        return 0
    
    if row1 == 'CIT 4 AFF QUALITY HOMECARE':
        return 300
    
    if row1 == 'PROTECT OUR JOBS':
        return 300
    
    if row1 == 'RESTORE OUR FUTURE': #Romney presidential PAC created by aids.
        return 0
    
    if row1 == 'CITIZEN PROTECT MI':
        return 0
    
    if row1 == 'MICH EDU. ASS':
        return 300
    
    if row1 == 'TAXPAYER AGAINST MONOPOLI':
        return 300
    
    if row1 == 'STAND UP FOR DEMOCRACY': #marking conservative because they are against Public Act 4, which enables emergency fund managers.
        return 0                        #Defining liberal as pro big government and conservative as anti big government.
    
    if row1 == 'JUDICIAL CRISIS NETWO':
        return 0
    
    if row1 == '60 PLU':
        return 0
    
    if row1 == 'AMER. FUTURE FU':
        return 0
    
    if row1 == 'HARD WORKING AMERICA':
        return 0
    
    
def dark_money(row1):
    if row1 == 'JUDICIAL CRISIS NETWO':
        return 300
    
    if row1 == '60 PLU':
        return 300
    
    if row1 == 'AMER. FUTURE FU':
        return 300
    
    else:
        return 0
    
    
def local(row1):
    if row1 == 'MI ENERGY MI JOBS':
        return 300
    
    if row1 == 'PROTECT MI TAXPAYERS':
        return 300
    
    if row1 == 'CARE FOR MICHIGAN':
        return 300
    
    if row1 == 'PROTECT WORKING FAMILIES':
        return 300
    
    if row1 == 'PROTECT MI VOTE':
        return 300
    
    if row1 == 'DETROIT INTERNATIONAL BRIDGE CO':
        return 300
    
    if row1 == 'CIT 4 AFF QUALITY HOMECARE':
        return 300
    
    if row1 == 'PROTECT OUR JOBS':
        return 300
    
    if row1 == 'RESTORE OUR FUTURE': #Romney presidential PAC created by aids.
        return 0
    
    if row1 == 'CITIZEN PROTECT MI':
        return 300
    
    if row1 == 'MICH EDU. ASS':
        return 300
    
    if row1 == 'TAXPAYER AGAINST MONOPOLI':
        return 300
    
    if row1 == 'STAND UP FOR DEMOCRACY': #marking conservative because they are against Public Act 4, which enables emergency fund managers.
        return 300
    
    if row1 == 'JUDICIAL CRISIS NETWO':
        return 0
    
    if row1 == '60 PLU':
        return 0
    
    if row1 == 'AMER. FUTURE FU ':
        return 0
    
    if row1 == 'HARD WORKING AMERICA':
        return 300

# 0 = not relevant, 1 = for the issue, 2 = against the issue

def energy(row1):
    if row1 == 'MI ENERGY MI JOBS':
        return 300

    if row1 == 'CARE FOR MICHIGAN':
        return -300
    
    if row1 == 'CITIZEN PROTECT MI':
        return -300
    
    else:
        return 0

def bargaining(row1):
    if row1 == 'PROTECT WORKING FAMILIES':
        return 300
    
    if row1 == 'PROTECT OUR JOBS':
        return 300
    
    if row1 == 'CITIZEN PROTECT MI':
        return -300
    
    if row1 == 'MICH EDU. ASS':
        return 'Pro Prop 2 (Collective Bargaining)'
    
    if row1 == 'PROTECT MI TAXPAYERS':
        return -300
    
    if row1 == 'CITIZEN PROTECT MI':
        return -300
    
    else:
        return 0

    
def casino(row1):
    if row1 == 'PROTECT MI VOTE':
        return -300
    
    else:
        return 0

def bridge(row1):
    if row1 == 'DETROIT INTERNATIONAL BRIDGE CO':
        return 300
    
    if row1 == 'CITIZEN PROTECT MI':
        return -300
    
    if row1 == 'TAXPAYER AGAINST MONOPOLI':
        return -300
    
    else:
        return 0

def homecare(row1):
    if row1 == 'CIT 4 AFF QUALITY HOMECARE':
        return 300
    
    if row1 == 'CITIZEN PROTECT MI':
        return -300
    
    else:
        return 0
    

def romney(row1):
    if row1 == 'RESTORE OUR FUTURE': #Romney presidential PAC created by aids.
        return 300
    
    else:
        return 0
    
 
def emergency_fund(row1):
    if row1 == 'STAND UP FOR DEMOCRACY':
        return 300
    
    else:
        return 0
    
    
def mccormack(row1):
    if row1 == 'JUDICIAL CRISIS NETWO':
        return -300
    
    else:
        return 0
    
def uni_healthcare(row1):
    if row1 == '60 PLU':
        return -300
    
    else:
        return 0
    
def stabenow(row1):
    if row1 == 'AMER. FUTURE FU':
        return -300
    
    if row1 == 'HARD WORKING AMERICA':
        return -300
    
    else:
        return 0
    
def issues_for_transpose(row1):
    if row1 == 'MI ENERGY MI JOBS':
        return 'Prop 3 (Renewable Energy)'
    
    if row1 == 'PROTECT MI TAXPAYERS':
        return 'Prop 2 (Collective Bargaining)'
    
    if row1 == 'CARE FOR MICHIGAN':
        return 'Prop 3 (Renewable Energy)'
    
    if row1 == 'PROTECT WORKING FAMILIES':
        return 'Prop 2 (Collective Bargaining)'
    
    if row1 == 'PROTECT MI VOTE':
        return 'Casino Expansion'
    
    if row1 == 'DETROIT INTERNATIONAL BRIDGE CO':
        return 'Prop 6 (Michigan International Bridge Initiative)'
    
    if row1 == 'CIT 4 AFF QUALITY HOMECARE':
        return 'Prop 4 (MI Qaulity Care on State Level)'
    
    if row1 == 'PROTECT OUR JOBS':
        return 'Prop 2 (Collective Bargaining)'
    
    if row1 == 'RESTORE OUR FUTURE': #Romney presidential PAC created by aids.
        return 'Romney Presidential Campaign'
    
    if row1 == 'CITIZEN PROTECT MI':
        return 'Prop 2 (Collective Bargaining)'
        return 'Prop 3 (Renewable Energy)'
        return 'Prop 4 (MI Qaulity Care on State Level)'
        return 'Prop 6 (Michigan International Bridge Initiative)'
    
    if row1 == 'MICH EDU. ASS':
        return 'Prop 2 (Collective Bargaining)'
    
    if row1 == 'TAXPAYER AGAINST MONOPOLI':
        return 'Prop 6 (Michigan International Bridge Initiative)'
    
    if row1 == 'STAND UP FOR DEMOCRACY':
        return 'Prop 1 (Referendum against Public Act 4, Emergency Manager Fund)'
    
    if row1 == 'JUDICIAL CRISIS NETWO':
        return 'Supreme Court Justice Bridget McCormack'
    
    if row1 == '60 PLU':
        return 'Universal Healthcare'
    
    if row1 == 'AMER. FUTURE FU':
        return 'Dem Senator Debbie Stabenow'
    
    if row1 == 'HARD WORKING AMERICA':
        return 'Dem Senator Debbie Stabenow'    

     
def issues(row1):
    if row1 == 'MI ENERGY MI JOBS':
        return 'Pro Prop 3 (Renewable Energy)'
    
    if row1 == 'PROTECT MI TAXPAYERS':
        return 'Anti Prop 2 (Collective Bargaining)'
    
    if row1 == 'CARE FOR MICHIGAN':
        return 'Anti Prop 3 (Renewable Energy)'
    
    if row1 == 'PROTECT WORKING FAMILIES':
        return 'Pro Prop 2 (Collective Bargaining)'
    
    if row1 == 'PROTECT MI VOTE':
        return 'Anti-Casino Expansion'
    
    if row1 == 'DETROIT INTERNATIONAL BRIDGE CO':
        return 'Prop 6 (Michigan International Bridge Initiative)'
    
    if row1 == 'CIT 4 AFF QUALITY HOMECARE':
        return 'Pro Prop 4 (MI Qaulity Care on State Level)'
    
    if row1 == 'PROTECT OUR JOBS':
        return 'Pro Prop 2 (Collective Bargaining)'
    
    if row1 == 'RESTORE OUR FUTURE': #Romney presidential PAC created by aids.
        return 'Romney Presidential Campaign'
    
    if row1 == 'CITIZEN PROTECT MI':
        return 'Anti Props 2-6'
    
    if row1 == 'MICH EDU. ASS':
        return 'Pro Prop 2 (Collective Bargaining)'
    
    if row1 == 'TAXPAYER AGAINST MONOPOLI':
        return 'Anti Prop 6 (Michigan International Bridge Initiative)'
    
    if row1 == 'STAND UP FOR DEMOCRACY':
        return 'Pro Prop 1 (Referendum against Public Act 4, Emergency Manager Fund)'
    
    if row1 == 'JUDICIAL CRISIS NETWO':
        return 'Anti- Supreme Court Justice Bridget McCormack'
    
    if row1 == '60 PLU':
        return 'Anti Universal Healthcare'
    
    if row1 == 'AMER. FUTURE FU ':
        return 'Anti Dem Senator Debbie Stabenow'
    
    if row1 == 'HARD WORKING AMERICA':
        return 'Anti Dem Senator Debbie Stabenow'
    
    
    
    
def relevant_issue_success(row1):
    if row1 == 'Prop 3 (Renewable Energy)':
        return 0
    
    if row1 == 'Prop 2 (Collective Bargaining)':
        return 0
    
    if row1 == 'Casino Expansion Off Ballot':
        return 300
    
    if row1 == 'Prop 6 (Michigan International Bridge Initiative)':
        return 0
    
    if row1 == 'Prop 4 (MI Qaulity Care on State Level)':
        return 0
    
    if row1 == 'Romney Presidential Campaign':
        return 0
    
    if row1 == 'Prop 1 (Referendum against Public Act 4, Emergency Manager Fund)':
        return 0
    
    if row == 'Supreme Court Justice Bridget McCormack':
        return 300
    
    if row1 == 'Universal Healthcare':
        return 0
    
    if row1 == 'Dem Senator Debbie Stabenow':
        return 300



In [270]:

    
non_candidate_2012_df.head()









    Out[270]:






  
    
      
      Advertiser_Clean2
      Contract
      Buy_Line
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      ...
      Renewable_Energy
      Pro_Collective_Bargaining
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
    
  
  
    
      1
       RESTORE OUR FUTURE
       13499895577303
       1
       1500
      2012-10-13
      2012-10-14
       1
       2
       2
       3000
      ...
       0
       0
       0
       0
       0
       300
       0
       0
       0
       0
    
    
      2
       RESTORE OUR FUTURE
       13499895577303
       2
       1000
      2012-10-13
      2012-10-13
       1
       1
       1
       1000
      ...
       0
       0
       0
       0
       0
       300
       0
       0
       0
       0
    
    
      3
       RESTORE OUR FUTURE
       13499895577303
       3
       4000
      2012-10-14
      2012-10-14
       1
       1
       1
       4000
      ...
       0
       0
       0
       0
       0
       300
       0
       0
       0
       0
    
    
      4
       RESTORE OUR FUTURE
       13499895577303
       4
        400
      2012-10-15
      2012-10-19
       1
       5
       5
       2000
      ...
       0
       0
       0
       0
       0
       300
       0
       0
       0
       0
    
    
      5
       RESTORE OUR FUTURE
       13499895577303
       5
        400
      2012-10-15
      2012-10-19
       1
       5
       5
       2000
      ...
       0
       0
       0
       0
       0
       300
       0
       0
       0
       0
    
  

5 rows × 66 columns



In [272]:

    
non_candidate_2012_df.columns









    Out[272]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I'], dtype='object')



In [144]:

    
non_candidate_2012_df['Dark_Money'] = non_candidate_2012_df['Advertiser_Clean2'].apply(dark_money)



In [145]:

    
non_candidate_2012_df['Liberal'] = non_candidate_2012_df['Advertiser_Clean2'].apply(liberal)



In [146]:

    
non_candidate_2012_df['Local'] = non_candidate_2012_df['Advertiser_Clean2'].apply(local)



In [147]:

    
non_candidate_2012_df['Ad_Focus'] = non_candidate_2012_df['Advertiser_Clean2'].apply(issues)



In [148]:

    
non_candidate_2012_df['Ad_Issue'] = non_candidate_2012_df['Advertiser_Clean2'].apply(issues_for_transpose)



In [149]:

    
non_candidate_2012_df['Renewable_Energy'] = non_candidate_2012_df['Advertiser_Clean2'].apply(energy)



In [150]:

    
non_candidate_2012_df['Total_Dollars'].mode()









    Out[150]:





0    400
dtype: float64



In [151]:

    
#non_candidate_2012_df['Pro_Unions'] = non_candidate_2012_df['Advertiser_Clean2'].apply(union)



In [152]:

    
non_candidate_2012_df['Pro_Collective_Bargaining'] = non_candidate_2012_df['Advertiser_Clean2'].apply(bargaining)



In [153]:

    
non_candidate_2012_df['Casino_Expansion'] = non_candidate_2012_df['Advertiser_Clean2'].apply(casino)



In [154]:

    
non_candidate_2012_df['Anti_2nd_Detroit_Bridge'] = non_candidate_2012_df['Advertiser_Clean2'].apply(bridge)



In [155]:

    
non_candidate_2012_df['Homecare_in_State_Constitution'] = non_candidate_2012_df['Advertiser_Clean2'].apply(homecare)



In [156]:

    
non_candidate_2012_df['Romney_for_President'] = non_candidate_2012_df['Advertiser_Clean2'].apply(romney)



In [157]:

    
non_candidate_2012_df['Govt_Emergency_Fund'] = non_candidate_2012_df['Advertiser_Clean2'].apply(emergency_fund)



In [158]:

    
non_candidate_2012_df['McCormack_for_Supreme_Ct_D'] = non_candidate_2012_df['Advertiser_Clean2'].apply(mccormack)



In [159]:

    
non_candidate_2012_df['Universal_Healthcare'] = non_candidate_2012_df['Advertiser_Clean2'].apply(uni_healthcare)



In [160]:

    
non_candidate_2012_df['Stabenow_for_Senate_D_I'] = non_candidate_2012_df['Advertiser_Clean2'].apply(stabenow)



In [161]:

    
energy_df = non_candidate_2012_df[(non_candidate_2012_df['Renewable_Energy'] ==300)
                                  | (non_candidate_2012_df['Renewable_Energy'] ==-300)]



In [162]:

    
mccormack_df = non_candidate_2012_df[(non_candidate_2012_df['McCormack_for_Supreme_Ct_D'] == 300)
                                  | (non_candidate_2012_df['McCormack_for_Supreme_Ct_D'] == -300)]



In [163]:

    
bargaining_df = non_candidate_2012_df[(non_candidate_2012_df['Pro_Collective_Bargaining'] == 300)
                                      | (non_candidate_2012_df['Pro_Collective_Bargaining'] == -300)]



In [164]:

    
casino_df = non_candidate_2012_df[(non_candidate_2012_df['Casino_Expansion'] == 300)
                                  | (non_candidate_2012_df['Casino_Expansion'] == -300)]



In [165]:

    
bridge_df = non_candidate_2012_df[(non_candidate_2012_df['Anti_2nd_Detroit_Bridge'] == 300)
                                  | (non_candidate_2012_df['Anti_2nd_Detroit_Bridge'] == -300)]



In [166]:

    
homecare_df = non_candidate_2012_df[(non_candidate_2012_df['Homecare_in_State_Constitution'] == 300)
                                    | (non_candidate_2012_df['Homecare_in_State_Constitution'] == -300)]



In [167]:

    
romney_df = non_candidate_2012_df[(non_candidate_2012_df['Romney_for_President'] == 300)
                                   | (non_candidate_2012_df['Romney_for_President'] == -300)]



In [168]:

    
emergency_fund_df = non_candidate_2012_df[(non_candidate_2012_df['Govt_Emergency_Fund'] == 300) 
                                          | (non_candidate_2012_df['Govt_Emergency_Fund'] == -300)]



In [169]:

    
healthcare_df = non_candidate_2012_df[(non_candidate_2012_df['Universal_Healthcare'] == 300)
                                       | (non_candidate_2012_df['Universal_Healthcare'] == -300)]



In [170]:

    
stabenow_df = non_candidate_2012_df[(non_candidate_2012_df['Stabenow_for_Senate_D_I'] == 300) 
                                    | (non_candidate_2012_df['Stabenow_for_Senate_D_I'] == -300)]

stabenow_df['Ad_Issue']









    Out[170]:





2754    Dem Senator Debbie Stabenow
2756    Dem Senator Debbie Stabenow
3783    Dem Senator Debbie Stabenow
3785    Dem Senator Debbie Stabenow
3786    Dem Senator Debbie Stabenow
Name: Ad_Issue, dtype: object



In [171]:

    
results_list = []

results = {'In_Place': 1, 'Percentage_of_Vote': 59.00, 'Ad_Issue': 'Dem Senator Debbie Stabenow'}

results_list.append(results)

stabenow_df2 = pd.DataFrame(results_list, columns = ['In_Place', 'Ad_Issue', 'Percentage_of_Vote'])

stabenow_df2.columns

stabenow_both_df = stabenow_df.merge(stabenow_df2, on = ['Ad_Issue'], how = 'inner')

stabenow_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#stabenow_both_df = stabenow_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Stabenow_for_Senate_D_I', 'Total_Spots', 
 #                                     'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 'Total_Dollars', 'Ad_Issue']]

#stabenow_both_df['Percentage_of_Vote'] = stabenow_both_df['Percentage_of_Vote'] * 100

stabenow_both_df









    Out[171]:






  
    
      
      Advertiser_Clean2
      Contract
      Buy_Line
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      ...
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
      Percentage_of_Vote
    
  
  
    
      0
       HARD WORKING AMERICA
       13510911887672
       1
        3500
      2012-10-23
      2012-10-26
       1
       4
       4
       14000
      ...
       0
       0
       0
       0
       0
       0
       0
      -300
       1
       59
    
    
      1
       HARD WORKING AMERICA
       13510911887672
       2
        3500
      2012-10-29
      2012-11-01
       1
       4
       4
       14000
      ...
       0
       0
       0
       0
       0
       0
       0
      -300
       1
       59
    
    
      2
            AMER. FUTURE FU
       13517038006806
       1
       10000
      2012-11-01
      2012-11-02
       1
       2
       2
       20000
      ...
       0
       0
       0
       0
       0
       0
       0
      -300
       1
       59
    
    
      3
            AMER. FUTURE FU
       13517038006806
       2
        4000
      2012-11-03
      2012-11-03
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
       0
       0
      -300
       1
       59
    
    
      4
            AMER. FUTURE FU
       13517038006806
       3
       10000
      2012-11-05
      2012-11-05
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
       0
       0
      -300
       1
       59
    
  

5 rows × 68 columns



In [172]:

    
energy_df['Ad_Issue'] = 'Prop 3 (Renewable Energy)'



In [173]:

    
energy_df['Ad_Issue'].value_counts()









    Out[173]:





Prop 3 (Renewable Energy)    1325
dtype: int64



In [174]:

    
results_list2 = []

results2 = {'In_Place': 0, 'Percentage_of_Vote': 38.00, 'Ad_Issue': 'Prop 3 (Renewable Energy)'}

results_list2.append(results2)

energy_df2 = pd.DataFrame(results_list2, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

energy_both_df = energy_df.merge(energy_df2, on = ['Ad_Issue'], how = 'inner')

energy_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#energy_both_df = energy_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Renewable_Energy', 'Total_Spots', 
 #                                     'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 'Total_Dollars', 'Ad_Issue']]

#energy_both_df









    Out[174]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [175]:

    
bargaining_df['Ad_Issue'].value_counts()









    Out[175]:





Prop 2 (Collective Bargaining)    1416
dtype: int64



In [176]:

    
results_list3 = []

results3 = {'In_Place': 0, 'Percentage_of_Vote': 42.00, 'Ad_Issue': 'Prop 2 (Collective Bargaining)'}

results_list3.append(results3)

bargaining_df2 = pd.DataFrame(results_list3, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

bargaining_both_df = bargaining_df.merge(bargaining_df2, on = ['Ad_Issue'], how = 'inner')

bargaining_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#bargaining_both_df = bargaining_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Pro_Collective_Bargaining', 'Total_Spots', 
 #                                     'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 'Total_Dollars', 'Ad_Issue']]

#bargaining_both_df









    Out[176]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [177]:

    
casino_df['Ad_Issue'].value_counts()









    Out[177]:





Casino Expansion    81
dtype: int64



In [178]:

    
results_list4 = []

results4 = {'In_Place': 1, 'Percentage_of_Vote': 100.00, 'Ad_Issue': 'Casino Expansion'}

results_list4.append(results4)

casino_df2 = pd.DataFrame(results_list4, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

casino_both_df = casino_df.merge(casino_df2, on = ['Ad_Issue'], how = 'inner')

casino_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#casino_both_df = casino_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Casino_Expansion',
 #                                'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
  #                               'Total_Dollars', 'Ad_Issue']]

#bargaining_both_df









    Out[178]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [179]:

    
bridge_df['Ad_Issue'].value_counts()









    Out[179]:





Prop 6 (Michigan International Bridge Initiative)    361
Prop 2 (Collective Bargaining)                        53
dtype: int64



In [180]:

    
bridge_df['Ad_Issue'] = 'Prop 6 (Michigan International Bridge Initiative)'



In [181]:

    
bridge_df['Ad_Issue'].value_counts()









    Out[181]:





Prop 6 (Michigan International Bridge Initiative)    414
dtype: int64



In [182]:

    
results_list5 = []

results5 = {'In_Place': 0, 'Percentage_of_Vote': 41.00, 'Ad_Issue': 'Prop 6 (Michigan International Bridge Initiative)'}

results_list5.append(results5)

bridge_df2 = pd.DataFrame(results_list5, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

bridge_both_df = bridge_df.merge(bridge_df2, on = ['Ad_Issue'], how = 'inner')

bridge_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#bridge_both_df = bridge_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Anti_2nd_Detroit_Bridge',
 #                                'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
  #                               'Total_Dollars', 'Ad_Issue']]

#bargaining_both_df









    Out[182]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [183]:

    
homecare_df['Ad_Issue'].value_counts()









    Out[183]:





Prop 4 (MI Qaulity Care on State Level)    305
Prop 2 (Collective Bargaining)              53
dtype: int64



In [184]:

    
homecare_df['Ad_Issue'] = 'Prop 4 (MI Qaulity Care on State Level)'



In [185]:

    
homecare_df['Ad_Issue'].value_counts()









    Out[185]:





Prop 4 (MI Qaulity Care on State Level)    358
dtype: int64



In [186]:

    
results_list6 = []

results6 = {'In_Place': 0, 'Percentage_of_Vote': 44.00, 'Ad_Issue': 'Prop 4 (MI Qaulity Care on State Level)'}

results_list6.append(results6)

homecare_df2 = pd.DataFrame(results_list6, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

homecare_both_df = homecare_df.merge(homecare_df2, on = ['Ad_Issue'], how = 'inner')

homecare_both_df

#1 for positive, 2 for negative for Stabenow_for_Senate

#homecare_both_df = homecare_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Homecare_in_State_Constitution',
#                                 'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
 #                                'Total_Dollars', 'Ad_Issue']]

#homecare_both_df









    Out[186]:






  
    
      
      Advertiser_Clean2
      Contract
      Buy_Line
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      ...
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
      Percentage_of_Vote
    
  
  
    
      0  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        1
        450
      2012-10-12
      2012-10-12
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      1  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        2
       1000
      2012-10-12
      2012-10-12
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      2  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        3
        300
      2012-10-12
      2012-10-12
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      3  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        4
        300
      2012-10-12
      2012-10-12
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      4  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        5
        400
      2012-10-12
      2012-10-12
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      5  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        6
        250
      2012-10-12
      2012-10-12
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      6  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        7
        450
      2012-10-12
      2012-10-12
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      7  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        8
        450
      2012-10-15
      2012-10-15
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      8  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
        9
       1000
      2012-10-15
      2012-10-15
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      9  
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       10
        300
      2012-10-15
      2012-10-15
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      10 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       11
        300
      2012-10-15
      2012-10-15
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      11 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       12
        400
      2012-10-15
      2012-10-15
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      12 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       13
        250
      2012-10-15
      2012-10-15
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      13 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       14
        450
      2012-10-15
      2012-10-15
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      14 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       15
        750
      2012-10-13
      2012-10-13
       1
       1
       1
        750
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      15 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       16
        150
      2012-10-13
      2012-10-13
       1
       1
       1
        150
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      16 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       17
        450
      2012-10-11
      2012-10-11
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      17 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       18
       1000
      2012-10-11
      2012-10-11
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      18 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       19
        300
      2012-10-11
      2012-10-11
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      19 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       20
        300
      2012-10-11
      2012-10-11
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      20 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       21
        400
      2012-10-11
      2012-10-11
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      21 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       22
        250
      2012-10-11
      2012-10-11
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      22 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       23
       2000
      2012-10-11
      2012-10-11
       1
       1
       1
       2000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      23 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       24
        450
      2012-10-11
      2012-10-11
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      24 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       25
        450
      2012-10-09
      2012-10-09
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      25 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       26
       1000
      2012-10-09
      2012-10-09
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      26 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       27
        300
      2012-10-09
      2012-10-09
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      27 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       28
        300
      2012-10-09
      2012-10-09
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      28 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       29
        400
      2012-10-09
      2012-10-09
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      29 
       CIT 4 AFF QUALITY HOMECARE
       13492736117723
       30
        250
      2012-10-09
      2012-10-09
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    
    
      328
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
        9
       1000
      2012-10-08
      2012-10-08
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      329
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       10
        300
      2012-10-08
      2012-10-08
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      330
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       11
        300
      2012-10-08
      2012-10-08
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      331
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       12
        400
      2012-10-08
      2012-10-08
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      332
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       13
        250
      2012-10-08
      2012-10-08
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      333
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       14
        450
      2012-10-08
      2012-10-08
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      334
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       15
        150
      2012-10-06
      2012-10-06
       1
       1
       1
        150
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      335
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       16
       1000
      2012-10-07
      2012-10-07
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      336
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       17
        450
      2012-10-04
      2012-10-04
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      337
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       18
       1000
      2012-10-04
      2012-10-04
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      338
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       19
        300
      2012-10-04
      2012-10-04
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      339
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       20
        300
      2012-10-04
      2012-10-04
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      340
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       21
        400
      2012-10-04
      2012-10-04
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      341
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       22
        250
      2012-10-04
      2012-10-04
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      342
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       23
        450
      2012-10-04
      2012-10-04
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      343
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       24
        450
      2012-10-02
      2012-10-02
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      344
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       25
       1000
      2012-10-02
      2012-10-02
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      345
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       26
        300
      2012-10-02
      2012-10-02
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      346
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       27
        300
      2012-10-02
      2012-10-02
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      347
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       28
        400
      2012-10-02
      2012-10-02
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      348
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       29
        250
      2012-10-02
      2012-10-02
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      349
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       30
        450
      2012-10-02
      2012-10-02
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      350
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       31
        450
      2012-10-03
      2012-10-03
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      351
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       32
       1000
      2012-10-03
      2012-10-03
       1
       1
       1
       1000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      352
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       33
        300
      2012-10-03
      2012-10-03
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      353
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       34
        300
      2012-10-03
      2012-10-03
       1
       1
       1
        300
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      354
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       35
        400
      2012-10-03
      2012-10-03
       1
       1
       1
        400
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      355
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       36
        250
      2012-10-03
      2012-10-03
       1
       1
       1
        250
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      356
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       37
       2000
      2012-10-03
      2012-10-03
       1
       1
       1
       2000
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
    
      357
       CIT 4 AFF QUALITY HOMECARE
       13492802791979
       38
        450
      2012-10-03
      2012-10-03
       1
       1
       1
        450
      ...
       0
       0
       300
       0
       0
       0
       0
       0
       0
       44
    
  

358 rows × 68 columns



In [187]:

    
romney_df['Ad_Issue'].value_counts()









    Out[187]:





Romney Presidential Campaign    197
dtype: int64



In [188]:

    
results_list7 = []

results7 = {'In_Place': 0, 'Percentage_of_Vote': 47.20, 'Ad_Issue': 'Romney Presidential Campaign'}

results_list7.append(results7)

romney_df2 = pd.DataFrame(results_list7, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue' ])

#energy_df2

romney_both_df = romney_df.merge(romney_df2, on = ['Ad_Issue'], how = 'inner')

romney_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#romney_both_df = romney_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Romney_for_President',
#                                 'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
 #                                'Total_Dollars', 'Ad_Issue']]

#homecare_both_df









    Out[188]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [189]:

    
emergency_fund_df['Ad_Issue'].value_counts()









    Out[189]:





Prop 1 (Referendum against Public Act 4, Emergency Manager Fund)    28
dtype: int64



In [190]:

    
results_list8 = []

results8 = {'In_Place': 0, 'Percentage_of_Vote': 47.00, 'Ad_Issue': 'Prop 1 (Referendum against Public Act 4, Emergency Manager Fund)'}

results_list8.append(results8)

emergency_fund_df2 = pd.DataFrame(results_list8, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue'])

#energy_df2

emergency_fund_both_df = emergency_fund_df.merge(emergency_fund_df2, on = ['Ad_Issue'], how = 'inner')

emergency_fund_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#emergency_fund_both_df = emergency_fund_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Govt_Emergency_Fund',
#                                 'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
 #                                'Total_Dollars', 'Ad_Issue']]

#homecare_both_df









    Out[190]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [191]:

    
healthcare_df['Ad_Issue'].value_counts()









    Out[191]:





Universal Healthcare    4
dtype: int64



In [192]:

    
results_list9 = []

results9 = {'In_Place': 0, 'Percentage_of_Vote': 51.10, 'Ad_Issue': 'Universal Healthcare'}

results_list9.append(results9)

healthcare_df2 = pd.DataFrame(results_list9, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue'])

#energy_df2

healthcare_both_df = healthcare_df.merge(healthcare_df2, on = ['Ad_Issue'], how = 'inner')

healthcare_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#healthcare_both_df = healthcare_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'Universal_Healthcare',
#                                 'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
#                                 'Total_Dollars', 'Ad_Issue']]

#homecare_both_df









    Out[192]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [193]:

    
mccormack_df['Ad_Issue'].value_counts()









    Out[193]:





Supreme Court Justice Bridget McCormack    14
dtype: int64



In [194]:

    
results_list10 = []

results10 = {'In_Place': 0, 'Percentage_of_Vote': 23.50, 'Ad_Issue': 'Supreme Court Justice Bridget McCormack'}

results_list10.append(results10)

mccormack_df2 = pd.DataFrame(results_list10, columns = ['In_Place','Percentage_of_Vote', 'Ad_Issue'])

#energy_df2

mccormack_both_df = mccormack_df.merge(mccormack_df2, on = ['Ad_Issue'], how = 'inner')

mccormack_both_df.columns

#1 for positive, 2 for negative for Stabenow_for_Senate

#mccormack_both_df = mccormack_both_df[['Percentage_of_Vote', 'Dark_Money', 'In_Place', 'McCormack_for_Supreme_Ct_D',
#                                 'Total_Spots', 'Rating_RA35+', 'Rep:_RA35+','Number_of_Wks', 
#                                 'Total_Dollars', 'Ad_Issue']]

#homecare_both_df









    Out[194]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [195]:

    
len(mccormack_both_df)









    Out[195]:





14



In [196]:

    
len(healthcare_both_df)









    Out[196]:





4



In [197]:

    
len(emergency_fund_both_df)









    Out[197]:





28



In [198]:

    
len(romney_both_df)









    Out[198]:





197



In [199]:

    
len(homecare_both_df)









    Out[199]:





358



In [200]:

    
len(bridge_both_df)









    Out[200]:





414



In [201]:

    
#(casino_both_df)



In [202]:

    
len(bargaining_both_df)









    Out[202]:





1416



In [203]:

    
len(energy_both_df)









    Out[203]:





1325



In [204]:

    
len(stabenow_both_df)









    Out[204]:





5



In [205]:

    
issues_all_df = mccormack_both_df.append(healthcare_both_df)



In [206]:

    
issues_all_df









    Out[206]:






  
    
      
      Advertiser_Clean2
      Contract
      Buy_Line
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      ...
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
      Percentage_of_Vote
    
  
  
    
      0 
       JUDICIAL CRISIS NETWO
       13517062888744
        1
        4000
      2012-11-02
      2012-11-02
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      1 
       JUDICIAL CRISIS NETWO
       13517062888744
        2
        1600
      2012-11-02
      2012-11-02
       1
       1
       1
        1600
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      2 
       JUDICIAL CRISIS NETWO
       13517062888744
        3
        7000
      2012-11-02
      2012-11-02
       1
       1
       1
        7000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      3 
       JUDICIAL CRISIS NETWO
       13517062888744
        4
        4000
      2012-11-05
      2012-11-05
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      4 
       JUDICIAL CRISIS NETWO
       13517062888744
        5
        1600
      2012-11-05
      2012-11-05
       1
       1
       1
        1600
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      5 
       JUDICIAL CRISIS NETWO
       13517062888744
        6
        7000
      2012-11-05
      2012-11-05
       1
       1
       1
        7000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      6 
       JUDICIAL CRISIS NETWO
       13517062888744
        7
       10000
      2012-11-05
      2012-11-05
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      7 
       JUDICIAL CRISIS NETWO
       13517062888744
        8
        4000
      2012-11-03
      2012-11-03
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      8 
       JUDICIAL CRISIS NETWO
       13517062888744
        9
        4000
      2012-11-03
      2012-11-03
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      9 
       JUDICIAL CRISIS NETWO
       13517062888744
       10
        5000
      2012-11-04
      2012-11-04
       1
       1
       1
        5000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      10
       JUDICIAL CRISIS NETWO
       13517062888744
       11
        4000
      2012-11-01
      2012-11-01
       1
       1
       1
        4000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      11
       JUDICIAL CRISIS NETWO
       13517062888744
       12
        1600
      2012-11-01
      2012-11-01
       1
       1
       1
        1600
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      12
       JUDICIAL CRISIS NETWO
       13517062888744
       13
        7000
      2012-11-01
      2012-11-01
       1
       1
       1
        7000
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      13
       JUDICIAL CRISIS NETWO
       13517062888744
       14
        1600
      2012-11-06
      2012-11-06
       1
       1
       1
        1600
      ...
       0
       0
       0
       0
       0
      -300
         0
       0
       0
       23.5
    
    
      0 
                      60 PLU
       13517071561034
        1
       10000
      2012-11-01
      2012-11-02
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
         0
      -300
       0
       0
       51.1
    
    
      1 
                      60 PLU
       13517071561034
        2
       10000
      2012-11-01
      2012-11-02
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
         0
      -300
       0
       0
       51.1
    
    
      2 
                      60 PLU
       13517071561034
        3
       10000
      2012-11-05
      2012-11-05
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
         0
      -300
       0
       0
       51.1
    
    
      3 
                      60 PLU
       13517071561034
        4
       10000
      2012-11-05
      2012-11-05
       1
       1
       1
       10000
      ...
       0
       0
       0
       0
       0
         0
      -300
       0
       0
       51.1
    
  

18 rows × 68 columns



In [207]:

    
issues_all_df = issues_all_df.append(emergency_fund_both_df)



In [208]:

    
issues_all_df = issues_all_df.append(romney_both_df)



In [209]:

    
issues_all_df = issues_all_df.append(homecare_both_df)



In [210]:

    
len(issues_all_df)









    Out[210]:





601



In [211]:

    
issues_all_df = issues_all_df.append(bridge_both_df)



In [212]:

    
#issues_all_df = issues_all_df.append(casino_both_df)



In [213]:

    
issues_all_df = issues_all_df.append(energy_both_df)



In [214]:

    
issues_all_df = issues_all_df.append(stabenow_both_df)



In [215]:

    
issues_all_df = issues_all_df.append(bargaining_both_df)



In [216]:

    
issues_all_df = issues_all_df.fillna(0)



In [217]:

    
issues_all_df = issues_all_df.drop('Ad_Issue', 1)



In [218]:

    
issues_all_df = issues_all_df.drop('Rating_RA35+', 1)



In [219]:

    
issues_all_df = issues_all_df.drop('Rep:_RA35+', 1)



In [220]:

    
#issues_all_df[issues_all_df == 2] = issues_all_df[issues_all_df == 2] * -100



In [221]:

    
#issues_all_df[issues_all_df == 1] = issues_all_df[issues_all_df == 2] * 200



In [222]:

    
#issues_all_df['Percentage_of_Vote'] = issues_all_df['Percentage_of_Vote'] * 200



In [223]:

    
issues_all_df['In_Place'] = issues_all_df['In_Place'] * 500



In [224]:

    
issues_all_df.columns









    Out[224]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [225]:

    
issues_all_df = issues_all_df.drop('Advertiser_Clean2', 1)



In [226]:

    
issues_all_df = issues_all_df.drop('Buy_Line', 1)



In [227]:

    
issues_all_df = issues_all_df.drop('Starting_Date', 1)



In [228]:

    
issues_all_df = issues_all_df.drop('Program_Name', 1)



In [229]:

    
issues_all_df = issues_all_df.drop('Last_Activity', 1)



In [230]:

    
issues_all_df = issues_all_df.drop('Last_Mod/Rev', 1)



In [231]:

    
issues_all_df.head()









    Out[231]:






  
    
      
      Contract
      Rate
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Length_in_Sec
      AM
      PM
      ...
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
      Percentage_of_Vote
    
  
  
    
      0
       13517062888744
       4000
      2012-11-02
       1
       1
       1
       4000
       30
       0
       1
      ...
       0
       0
       0
       0
       0
      -300
       0
       0
       0
       23.5
    
    
      1
       13517062888744
       1600
      2012-11-02
       1
       1
       1
       1600
       30
       1
       0
      ...
       0
       0
       0
       0
       0
      -300
       0
       0
       0
       23.5
    
    
      2
       13517062888744
       7000
      2012-11-02
       1
       1
       1
       7000
       30
       0
       1
      ...
       0
       0
       0
       0
       0
      -300
       0
       0
       0
       23.5
    
    
      3
       13517062888744
       4000
      2012-11-05
       1
       1
       1
       4000
       30
       0
       1
      ...
       0
       0
       0
       0
       0
      -300
       0
       0
       0
       23.5
    
    
      4
       13517062888744
       1600
      2012-11-05
       1
       1
       1
       1600
       30
       1
       0
      ...
       0
       0
       0
       0
       0
      -300
       0
       0
       0
       23.5
    
  

5 rows × 59 columns



In [232]:

    
issues_all_df = issues_all_df.drop('Contract', 1)



In [233]:

    
issues_all_df = issues_all_df.drop('Duration', 1)



In [234]:

    
issues_all_df = issues_all_df.drop('Ad_Focus', 1)



In [235]:

    
issues_all_df['Rate'] = issues_all_df['Rate'].astype(float)



In [236]:

    
issues_all_df['Length_in_Sec'] = issues_all_df['Length_in_Sec'].astype(float)



In [237]:

    
issues_all_df['Ending_Date'] = issues_all_df['Length_in_Sec'].astype(float)



In [238]:

    
issues_all_df.columns









    Out[238]:





Index([u'Rate', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Length_in_Sec', u'AM', u'PM', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [238]:



In [239]:

    
#issues_all_df['Percentage_of_Vote'] = issues_all_df['Percentage_of_Vote'] / 100

#issues_all_df[issues_all_df['Percentage_of_Vote'] == 100.00]



In [240]:

    
issues_all_norm_df = (issues_all_df - issues_all_df.mean()) / (issues_all_df.max() - issues_all_df.min())



In [241]:

    
issues_all_norm_df = issues_all_norm_df.fillna(0)



In [242]:

    
issues_all_df['Rate'] = issues_all_df['Rate'].astype(float)



In [243]:

    
issues_all_df['Length_in_Sec'] = issues_all_df['Length_in_Sec'].astype(float)



In [244]:

    
non_candidate_2012_df[non_candidate_2012_df['Dark_Money'] == 300]['Ad_Issue'].value_counts()









    Out[244]:





Supreme Court Justice Bridget McCormack    14
Universal Healthcare                        4
Dem Senator Debbie Stabenow                 3
dtype: int64



In [245]:

    
mccormack_both_df.columns









    Out[245]:





Index([u'Advertiser_Clean2', u'Contract', u'Buy_Line', u'Rate', u'Starting_Date', u'Ending_Date', u'Number_of_Wks', u'Spt/Week', u'Total_Spots', u'Total_Dollars', u'Program_Name', u'Rating_RA35+', u'Rep:_RA35+', u'Last_Activity', u'Last_Mod/Rev', u'Length_in_Sec', u'AM', u'PM', u'Duration', u'10:00', u'10:30', u'11:00', u'11_AM', u'11_PM', u'11:30', u'11:35', u'12:00', u'12:05', u'12:30', u'12:35', u'1:00', u'1:05', u'1:30', u'1:35', u'2:00', u'3:00', u'3:30', u'4:00', u'4:30', u'4:59', u'5:00', u'5:30', u'6:00', u'6:30', u'7:00', u'7:30', u'7:58', u'8:00', u'8:30', u'9:00', u'9:30', u'Dark_Money', u'Liberal', u'Local', u'Ad_Focus', u'Ad_Issue', u'Renewable_Energy', u'Pro_Collective_Bargaining', u'Casino_Expansion', u'Anti_2nd_Detroit_Bridge', u'Homecare_in_State_Constitution', u'Romney_for_President', u'Govt_Emergency_Fund', u'McCormack_for_Supreme_Ct_D', u'Universal_Healthcare', u'Stabenow_for_Senate_D_I', u'In_Place', u'Percentage_of_Vote'], dtype='object')



In [246]:

    
bargaining_both_df.head()









    Out[246]:






  
    
      
      Advertiser_Clean2
      Contract
      Buy_Line
      Rate
      Starting_Date
      Ending_Date
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      ...
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
      Percentage_of_Vote
    
  
  
    
      0
       PROTECT WORKING FAMILIES
       13510883292588
       1
       300
      2012-11-02
      2012-11-02
       1
       1
       1
       300
      ...
       0
       0
       0
       0
       0
       0
       0
       0
       0
       42
    
    
      1
       PROTECT WORKING FAMILIES
       13510883292588
       2
        50
      2012-11-02
      2012-11-02
       1
       2
       2
       100
      ...
       0
       0
       0
       0
       0
       0
       0
       0
       0
       42
    
    
      2
       PROTECT WORKING FAMILIES
       13510883292588
       3
       400
      2012-11-02
      2012-11-02
       1
       1
       1
       400
      ...
       0
       0
       0
       0
       0
       0
       0
       0
       0
       42
    
    
      3
       PROTECT WORKING FAMILIES
       13510883292588
       4
       400
      2012-11-02
      2012-11-02
       1
       1
       1
       400
      ...
       0
       0
       0
       0
       0
       0
       0
       0
       0
       42
    
    
      4
       PROTECT WORKING FAMILIES
       13510883292588
       5
       250
      2012-11-02
      2012-11-02
       1
       1
       1
       250
      ...
       0
       0
       0
       0
       0
       0
       0
       0
       0
       42
    
  

5 rows × 68 columns



In [279]:

    
from pandas.stats.api import ols
res = ols(y=issues_all_df['Local'], x=issues_all_df[['Dark_Money']])
res









    Out[279]:





-------------------------Summary of Regression Analysis-------------------------

Formula: Y ~ <Dark_Money> + <intercept>

Number of Observations:         12373
Number of Degrees of Freedom:   2

R-squared:         0.0105
Adj R-squared:     0.0104

Rmse:             88.4871

F-stat (1, 12371):   130.7281, p-value:     0.0000

Degrees of Freedom: model 1, resid 12371

-----------------------Summary of Estimated Coefficients------------------------
      Variable       Coef    Std Err     t-stat    p-value    CI 2.5%   CI 97.5%
--------------------------------------------------------------------------------
    Dark_Money    -0.2612     0.0228     -11.43     0.0000    -0.3060    -0.2164
     intercept   271.8535     0.8010     339.40     0.0000   270.2835   273.4234
---------------------------------End of Summary---------------------------------

SOMA: THIS IS WHERE I AM WONDERING ABOUT STUFF.

Basically, I think I understand that my model isn't very good. However, is this model telling me that dark money is somehow

skewing the data and is therefore important? It's coefficient 1.



In [248]:

    
issues_all_norm_df[['Rate', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Length_in_Sec', 'AM', 'PM',
                                                                  '10:00', '10:30', '11:00', '11:30', '11:35', '12:00', 
                                                                  '12:05', '12:30', '12:35', '1:00', '1:05', '1:30', 
                                                                  '1:35', '2:00', '3:00', '3:30', '4:00', '4:30', '4:59', 
                                                                  '5:00', '5:30', '6:00', '6:30', '7:00', '7:30', '7:58', 
                                                                  '8:00', '8:30', '9:00', '9:30', 'Dark_Money', 'Liberal', 
                                                                  'Local', 'Renewable_Energy', 'Pro_Collective_Bargaining',
                                                                  'Casino_Expansion', 'Anti_2nd_Detroit_Bridge', 'Homecare_in_State_Constitution', 
                                                                  'Romney_for_President', 'Govt_Emergency_Fund', 'McCormack_for_Supreme_Ct_D', 
                                                                  'Universal_Healthcare', 'Stabenow_for_Senate_D_I', 'In_Place']]









    Out[248]:






  
    
      
      Rate
      Number_of_Wks
      Spt/Week
      Total_Spots
      Total_Dollars
      Length_in_Sec
      AM
      PM
      10:00
      10:30
      ...
      Pro_Collective_Bargaining
      Casino_Expansion
      Anti_2nd_Detroit_Bridge
      Homecare_in_State_Constitution
      Romney_for_President
      Govt_Emergency_Fund
      McCormack_for_Supreme_Ct_D
      Universal_Healthcare
      Stabenow_for_Senate_D_I
      In_Place
    
  
  
    
      0   
       0.254518
      -0.013826
      -0.01705
      -0.018778
       0.145483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      1   
       0.054309
      -0.013826
      -0.01705
      -0.018778
       0.025483
       0
       0.568466
      -0.648764
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      2   
       0.504778
      -0.013826
      -0.01705
      -0.018778
       0.295483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      3   
       0.254518
      -0.013826
      -0.01705
      -0.018778
       0.145483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      4   
       0.054309
      -0.013826
      -0.01705
      -0.018778
       0.025483
       0
       0.568466
      -0.648764
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      5   
       0.504778
      -0.013826
      -0.01705
      -0.018778
       0.295483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      6   
       0.755039
      -0.013826
      -0.01705
      -0.018778
       0.445483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      7   
       0.254518
      -0.013826
      -0.01705
      -0.018778
       0.145483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      8   
       0.254518
      -0.013826
      -0.01705
      -0.018778
       0.145483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      9   
       0.337938
      -0.013826
      -0.01705
      -0.018778
       0.195483
       0
       0.568466
      -0.648764
      -0.137995
       0.982186
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      10  
       0.254518
      -0.013826
      -0.01705
      -0.018778
       0.145483
       0
      -0.431534
       0.351236
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      11  
       0.054309
      -0.013826
      -0.01705
      -0.018778
       0.025483
       0
       0.568466
      -0.648764
      -0.137995
      -0.017814
      ...
       0.028317
       0
      -0.012098
      -0.012364
      -0.05238
      -0.007445
      -0.996278
       0.001064
       0.001329
      -0.001329
    
    
      12  
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      13  
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      0   
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      1   
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      2   
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      3   
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      0   
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      2   
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      3   
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      4   
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      5   
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      6   
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      7   
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      ...
      ...
      ...
      ...
      ...
      ...
      ...
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      ...
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3761 rows × 52 columns



In [249]:

    
issues_all_norm_df[['Rate', 'Spt/Week', 'Total_Dollars']]









    Out[249]:






  
    
      
      Rate
      Spt/Week
      Total_Dollars
    
  
  
    
      0   
       0.254518
      -0.01705
       0.145483
    
    
      1   
       0.054309
      -0.01705
       0.025483
    
    
      2   
       0.504778
      -0.01705
       0.295483
    
    
      3   
       0.254518
      -0.01705
       0.145483
    
    
      4   
       0.054309
      -0.01705
       0.025483
    
    
      5   
       0.504778
      -0.01705
       0.295483
    
    
      6   
       0.755039
      -0.01705
       0.445483
    
    
      7   
       0.254518
      -0.01705
       0.145483
    
    
      8   
       0.254518
      -0.01705
       0.145483
    
    
      9   
       0.337938
      -0.01705
       0.195483
    
    
      10  
       0.254518
      -0.01705
       0.145483
    
    
      11  
       0.054309
      -0.01705
       0.025483
    
    
      12  
       0.504778
      -0.01705
       0.295483
    
    
      13  
       0.054309
      -0.01705
       0.025483
    
    
      0   
       0.755039
      -0.01705
       0.445483
    
    
      1   
       0.755039
      -0.01705
       0.445483
    
    
      2   
       0.755039
      -0.01705
       0.445483
    
    
      3   
       0.755039
      -0.01705
       0.445483
    
    
      0   
      -0.029111
       0.10795
       0.005483
    
    
      1   
      -0.029111
      -0.01705
      -0.024517
    
    
      2   
       0.075164
       0.23295
       0.222983
    
    
      3   
       0.075164
      -0.01705
       0.037983
    
    
      4   
       0.129387
       0.23295
       0.320483
    
    
      5   
       0.129387
      -0.01705
       0.070483
    
    
      6   
       0.045967
      -0.01705
       0.020483
    
    
      7   
       0.045967
      -0.01705
       0.020483
    
    
      8   
       0.045967
      -0.14205
      -0.054517
    
    
      9   
       0.129387
      -0.01705
       0.070483
    
    
      10  
       0.004257
      -0.14205
      -0.054517
    
    
      11  
      -0.037453
      -0.01705
      -0.029517
    
    
      ...
      ...
      ...
      ...
    
    
      1386
      -0.054137
      -0.01705
      -0.039517
    
    
      1387
      -0.054137
      -0.01705
      -0.039517
    
    
      1388
      -0.054137
      -0.01705
      -0.039517
    
    
      1389
      -0.045795
      -0.14205
      -0.054517
    
    
      1390
      -0.045795
      -0.01705
      -0.034517
    
    
      1391
      -0.045795
      -0.01705
      -0.034517
    
    
      1392
      -0.045795
      -0.01705
      -0.034517
    
    
      1393
      -0.012427
      -0.14205
      -0.054517
    
    
      1394
      -0.012427
      -0.01705
      -0.014517
    
    
      1395
      -0.012427
      -0.01705
      -0.014517
    
    
      1396
      -0.012427
      -0.01705
      -0.014517
    
    
      1397
       0.004257
      -0.01705
      -0.004517
    
    
      1398
       0.004257
      -0.01705
      -0.004517
    
    
      1399
       0.070993
      -0.14205
      -0.054517
    
    
      1400
       0.070993
      -0.01705
       0.035483
    
    
      1401
       0.070993
      -0.01705
       0.035483
    
    
      1402
       0.070993
      -0.01705
       0.035483
    
    
      1403
      -0.016598
      -0.14205
      -0.054517
    
    
      1404
      -0.016598
      -0.01705
      -0.017017
    
    
      1405
      -0.016598
      -0.01705
      -0.017017
    
    
      1406
      -0.016598
      -0.01705
      -0.017017
    
    
      1407
      -0.016598
      -0.01705
      -0.017017
    
    
      1408
      -0.016598
      -0.01705
      -0.017017
    
    
      1409
      -0.016598
      -0.01705
      -0.017017
    
    
      1410
      -0.066650
      -0.01705
      -0.047017
    
    
      1411
      -0.045795
      -0.01705
      -0.034517
    
    
      1412
      -0.045795
      -0.01705
      -0.034517
    
    
      1413
      -0.012427
      -0.01705
      -0.014517
    
    
      1414
      -0.016598
      -0.01705
      -0.017017
    
    
      1415
       0.070993
      -0.01705
       0.035483
    
  

3761 rows × 3 columns



In [250]:

    
X = issues_all_norm_df[['Rate', 'Spt/Week']]
y = issues_all_norm_df['Percentage_of_Vote']
print X.shape
print y.shape









    



(3761, 2)
(3761,)

Splitting the data

We want to split the data into train set and test set. We fit the linear model on the train set, and we show that it performs good on test set.

Before splitting the data, we shuffle (mix) the examples, because for some datasets the examples are ordered.

If we wouldn't shuffle, train set and test set could be totally different, thus linear model fitted on train set wouldn't be valid on test set. Now we shuffle:



In [251]:

    
from sklearn.utils import shuffle
X, y = shuffle(X, y, random_state=1)
print X.shape
print y.shape









    



(3761, 2)
(3761,)

Each example of data has 7 columns in total.

We want to work with 1-dim data because it is simple to visualize. Therefore select only one column, e.g column 2 and fit linear model on it:



In [252]:

    
# Use only one column from data
print(X.shape)
X = X[:, 0:1]
print(X.shape)









    



(3761, 2)
(3761, 1)

Split the data into training/testing sets



In [253]:

    
train_set_size = 1000
X_train = X[:train_set_size]  # selects first 250 rows (examples) for train set
X_test = X[train_set_size:]   # selects from row 250 until the last one for test set
print(X_train.shape)
print(X_test.shape)









    



(1000, 1)
(2761, 1)

Split the targets into training/testing sets



In [254]:

    
y_train = y[:train_set_size]   # selects first 250 rows (targets) for train set
y_test = y[train_set_size:]    # selects from row 250 until the last one for test set
print(y_train.shape)
print(y_test.shape)









    



(1000,)
(2761,)

Now we can look at our train data. We can see that the examples have linear relation.

Therefore, we can use linear model to make good classification of our examples.

Well, this isn't totally true --> what are those guys around 1??



In [255]:

    
plt.scatter(X_train, y_train, color = 'red')
plt.scatter(X_test, y_test, color = 'green')
plt.xlabel('Advertiser_Data')
plt.ylabel('Election_Outcome');

Linear regression

Create linear regression object, which we use later to apply linear regression on data



In [256]:

    
from sklearn import linear_model
regr = linear_model.LinearRegression()

Fit the model using the training set



In [257]:

    
regr.fit(X_train, y_train);

We found the coefficients and the bias (the intercept)



In [258]:

    
print(regr.coef_)
print(regr.intercept_)









    



[ 0.00391526]
-0.00343809244786

Now we calculate the mean square error on the test set



In [259]:

    
# The mean square error
print("Training error: ", np.mean((regr.predict(X_train) - y_train) ** 2))
print("Test     error: ", np.mean((regr.predict(X_test) - y_test) ** 2))









    



('Training error: ', 0.0076010825151419381)
('Test     error: ', 0.0062941848711493319)

Plotting data and linear model

Now we want to plot the train data and teachers (marked as dots).

With line we represents the data and predictions (linear model that we found):



In [260]:

    
# Visualises dots, where each dot represent a data exaple and corresponding teacher
plt.scatter(X_train, y_train,  color='black')
# Plots the linear model
plt.plot(X_train, regr.predict(X_train), color='blue', linewidth=3);
plt.xlabel('Ad Rate')
plt.ylabel('Election_Outcome')









    Out[260]:





<matplotlib.text.Text at 0x7f185543f090>

We do similar with test data, and show that linear model is valid for a test set:



In [261]:

    
# Visualises dots, where each dot represent a data exaple and corresponding teacher
plt.scatter(X_test, y_test,  color='black')
# Plots the linear model
plt.plot(X_test, regr.predict(X_test), color='blue', linewidth=3);
plt.xlabel('Data')
plt.ylabel('Target');



In [262]:

    
Xdf = pd.DataFrame(issues_all_norm_df[['Rate', 'Spt/Week']])
Xdf









    Out[262]:






  
    
      
      Rate
      Spt/Week
    
  
  
    
      0   
       0.254518
      -0.01705
    
    
      1   
       0.054309
      -0.01705
    
    
      2   
       0.504778
      -0.01705
    
    
      3   
       0.254518
      -0.01705
    
    
      4   
       0.054309
      -0.01705
    
    
      5   
       0.504778
      -0.01705
    
    
      6   
       0.755039
      -0.01705
    
    
      7   
       0.254518
      -0.01705
    
    
      8   
       0.254518
      -0.01705
    
    
      9   
       0.337938
      -0.01705
    
    
      10  
       0.254518
      -0.01705
    
    
      11  
       0.054309
      -0.01705
    
    
      12  
       0.504778
      -0.01705
    
    
      13  
       0.054309
      -0.01705
    
    
      0   
       0.755039
      -0.01705
    
    
      1   
       0.755039
      -0.01705
    
    
      2   
       0.755039
      -0.01705
    
    
      3   
       0.755039
      -0.01705
    
    
      0   
      -0.029111
       0.10795
    
    
      1   
      -0.029111
      -0.01705
    
    
      2   
       0.075164
       0.23295
    
    
      3   
       0.075164
      -0.01705
    
    
      4   
       0.129387
       0.23295
    
    
      5   
       0.129387
      -0.01705
    
    
      6   
       0.045967
      -0.01705
    
    
      7   
       0.045967
      -0.01705
    
    
      8   
       0.045967
      -0.14205
    
    
      9   
       0.129387
      -0.01705
    
    
      10  
       0.004257
      -0.14205
    
    
      11  
      -0.037453
      -0.01705
    
    
      ...
      ...
      ...
    
    
      1386
      -0.054137
      -0.01705
    
    
      1387
      -0.054137
      -0.01705
    
    
      1388
      -0.054137
      -0.01705
    
    
      1389
      -0.045795
      -0.14205
    
    
      1390
      -0.045795
      -0.01705
    
    
      1391
      -0.045795
      -0.01705
    
    
      1392
      -0.045795
      -0.01705
    
    
      1393
      -0.012427
      -0.14205
    
    
      1394
      -0.012427
      -0.01705
    
    
      1395
      -0.012427
      -0.01705
    
    
      1396
      -0.012427
      -0.01705
    
    
      1397
       0.004257
      -0.01705
    
    
      1398
       0.004257
      -0.01705
    
    
      1399
       0.070993
      -0.14205
    
    
      1400
       0.070993
      -0.01705
    
    
      1401
       0.070993
      -0.01705
    
    
      1402
       0.070993
      -0.01705
    
    
      1403
      -0.016598
      -0.14205
    
    
      1404
      -0.016598
      -0.01705
    
    
      1405
      -0.016598
      -0.01705
    
    
      1406
      -0.016598
      -0.01705
    
    
      1407
      -0.016598
      -0.01705
    
    
      1408
      -0.016598
      -0.01705
    
    
      1409
      -0.016598
      -0.01705
    
    
      1410
      -0.066650
      -0.01705
    
    
      1411
      -0.045795
      -0.01705
    
    
      1412
      -0.045795
      -0.01705
    
    
      1413
      -0.012427
      -0.01705
    
    
      1414
      -0.016598
      -0.01705
    
    
      1415
       0.070993
      -0.01705
    
  

3761 rows × 2 columns



In [263]:

    
ydf = pd.DataFrame(issues_all_df['Percentage_of_Vote'])
ydf









    Out[263]:






  
    
      
      Percentage_of_Vote
    
  
  
    
      0   
       23.5
    
    
      1   
       23.5
    
    
      2   
       23.5
    
    
      3   
       23.5
    
    
      4   
       23.5
    
    
      5   
       23.5
    
    
      6   
       23.5
    
    
      7   
       23.5
    
    
      8   
       23.5
    
    
      9   
       23.5
    
    
      10  
       23.5
    
    
      11  
       23.5
    
    
      12  
       23.5
    
    
      13  
       23.5
    
    
      0   
       51.1
    
    
      1   
       51.1
    
    
      2   
       51.1
    
    
      3   
       51.1
    
    
      0   
       47.0
    
    
      1   
       47.0
    
    
      2   
       47.0
    
    
      3   
       47.0
    
    
      4   
       47.0
    
    
      5   
       47.0
    
    
      6   
       47.0
    
    
      7   
       47.0
    
    
      8   
       47.0
    
    
      9   
       47.0
    
    
      10  
       47.0
    
    
      11  
       47.0
    
    
      ...
      ...
    
    
      1386
       42.0
    
    
      1387
       42.0
    
    
      1388
       42.0
    
    
      1389
       42.0
    
    
      1390
       42.0
    
    
      1391
       42.0
    
    
      1392
       42.0
    
    
      1393
       42.0
    
    
      1394
       42.0
    
    
      1395
       42.0
    
    
      1396
       42.0
    
    
      1397
       42.0
    
    
      1398
       42.0
    
    
      1399
       42.0
    
    
      1400
       42.0
    
    
      1401
       42.0
    
    
      1402
       42.0
    
    
      1403
       42.0
    
    
      1404
       42.0
    
    
      1405
       42.0
    
    
      1406
       42.0
    
    
      1407
       42.0
    
    
      1408
       42.0
    
    
      1409
       42.0
    
    
      1410
       42.0
    
    
      1411
       42.0
    
    
      1412
       42.0
    
    
      1413
       42.0
    
    
      1414
       42.0
    
    
      1415
       42.0
    
  

3761 rows × 1 columns



In [264]:

    
multi_regression = regr.fit(Xdf, ydf)



In [265]:

    
print(regr.coef_)
coef =multi_regression
print(regr.intercept_)









    



[[  2.50197093  11.58341357]]
[ 40.94411061]



In [266]:

    
print("error: ", np.mean((regr.predict(Xdf) - ydf) ** 2))









    



('error: ', Percentage_of_Vote    7.613526
dtype: float64)



In [267]:

    
Xdf_alt = Xdf.iloc[:, 1:]
multi_regression_alt = regr.fit(Xdf_alt, ydf)
print(regr.coef_)
coef_alt = multi_regression
print(regr.intercept_)
print("error: ", np.mean((regr.predict(Xdf_alt) - ydf) ** 2))









    



[[ 11.60117908]]
[ 40.94411061]
('error: ', Percentage_of_Vote    7.669794
dtype: float64)

Soma: I think this is the graph that is important because I THINK it says what coefficients pull the regression line up?



In [268]:

    
Xdf_alt_2 = Xdf.iloc[:, (0,1)]
multi_regression_alt = regr.fit(Xdf_alt_2, ydf)
print dir(multi_regression_alt)
print(regr.coef_)
coef_alt_2 = multi_regression_alt
print(regr.intercept_)
print("error: ", np.mean((regr.predict(Xdf_alt_2) - ydf) ** 2))









    



['__abstractmethods__', '__class__', '__delattr__', '__dict__', '__doc__', '__format__', '__getattribute__', '__hash__', '__init__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_abc_cache', '_abc_negative_cache', '_abc_negative_cache_version', '_abc_registry', '_center_data', '_get_param_names', '_set_intercept', 'coef_', 'copy_X', 'decision_function', 'fit', 'fit_intercept', 'get_params', 'intercept_', 'normalize', 'predict', 'rank_', 'residues_', 'score', 'set_params', 'singular_']
[[  2.50197093  11.58341357]]
[ 40.94411061]
('error: ', Percentage_of_Vote    7.613526
dtype: float64)



In [269]:

    
multi_regression_alt.score()









    



---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-269-8fff59a585e8> in <module>()
----> 1 multi_regression_alt.score()

TypeError: score() takes exactly 3 arguments (1 given)



In [ ]:

    
#x.shape



In [ ]:

    
print coef_alt
print range(1,2)
print coef_alt_2[0]
coef[0]



In [ ]:

    
plot(range(1,2), coef_alt[0], label = "alt")
plot([0,1], coef_alt_2[0], label = "alt 2")
plot(range(2), coef[0], label = "regression")
grid()
legend(loc = 2)
plt.xlabel('Ad Rate and Spots Per Week')
plt.ylabel('Election_Outcome')



In [ ]:

    
issues_all_norm_df.columns



In [ ]:

    
import numpy as np

# Generate some data that lies along a line

x = issues_all_norm_df['Spt/Week']
y = issues_all_norm_df['Rate']
z = issues_all_norm_df['Percentage_of_Vote']

data = np.concatenate((x[:, np.newaxis], 
                       y[:, np.newaxis], 
                       z[:, np.newaxis]), 
                      axis=1)

# Perturb with some Gaussian noise
#data += np.random.normal(size=data.shape) * 0.4

# Calculate the mean of the points, i.e. the 'center' of the cloud
datamean = data.mean(axis=0)

# Do an SVD on the mean-centered data.
uu, dd, vv = np.linalg.svd(data - datamean)

# Now vv[0] contains the first principal component, i.e. the direction
# vector of the 'best fit' line in the least squares sense.

# Now generate some points along this best fit line, for plotting.

# I use -7, 7 since the spread of the data is roughly 14
# and we want it to have mean 0 (like the points we did
# the svd on). Also, it's a straight line, so we only need 2 points.
linepts = vv[0] * np.mgrid[-7:7:2j][:, np.newaxis]

# shift by the mean to get the line in the right place
linepts += datamean

# Verify that everything looks right.

import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d as m3d

ax = m3d.Axes3D(plt.figure())
ax.scatter3D(*data.T)
ax.plot3D(*linepts.T)
plt.show()



In [ ]:

    
!pip install statsmodels formula



In [ ]:

    
import statsmodels.api as sm
#import statsmodels.formula.api as smf


plt.scatter(issues_all_norm_df['Rate'], issues_all_norm_df['Spt/Week'], alpha=0.3)
plt.xlabel('Spots Per Week')
plt.ylabel('Rate')

income_linspace = np.linspace(issues_all_norm_df['Rate'].min(), issues_all_norm_df['Spt/Week'].max(), 100)

#est = smf.OLS(formula='Rate ~ Spt/Week + hlthp', data=issues_all_norm_df).fit()
est = smf.OLS(issues_all_norm_df['Rate'], issues_all_norm_df['Spt/Week']).fit()


plt.plot(income_linspace, est.params[0] + est.params[1] * income_linspace + est.params[2] * 0, 'r')
plt.plot(income_linspace, est.params[0] + est.params[1] * income_linspace + est.params[2] * 1, 'g')
short_summary(est)



In [ ]:

    
from statsmodels.regression.linear_model import OLS
import statsmodels.formula.api 

# load the boston housing dataset - median house values in the Boston area
#df = pd.read_csv('http://vincentarelbundock.github.io/Rdatasets/csv/MASS/Boston.csv')

# plot lstat (% lower status of the population) against median value
plt.figure(figsize=(6 * 1.618, 6))
plt.scatter(issues_all_norm_df['Rate'], issues_all_norm_df['Spt/Week'], s=10, alpha=0.3)
plt.xlabel('Rate')
plt.ylabel('Spt/Week')

# points linearlyd space on lstats
x = pd.DataFrame({'Rate': np.linspace(issues_all_norm_df['Rate'].min(), issues_all_norm_df['Rate'].max(), 100)})

# 1-st order polynomial
poly_1 = smf.OLS(formula='Spt/Week ~ 1 + Rate', data=issues_all_norm_df).fit()
plt.plot(x.lstat, poly_1.predict(x), 'b-', label='Poly n=1 $R^2$=%.2f' % poly_1.rsquared, 
         alpha=0.9)

# 2-nd order polynomial
poly_2 = smf.OLS(formula='Spt/Week ~ 1 + Rate + I(Rate ** 2.0)', data=df).fit()
plt.plot(x.lstat, poly_2.predict(x), 'g-', label='Poly n=2 $R^2$=%.2f' % poly_2.rsquared, 
         alpha=0.9)

# 3-rd order polynomial
poly_3 = smf.OLS(formula='Spt/Week ~ 1 + Rate + I(Rate ** 2.0) + I(Rate ** 3.0)', data=df).fit()
plt.plot(x.lstat, poly_3.predict(x), 'r-', alpha=0.9,
         label='Poly n=3 $R^2$=%.2f' % poly_3.rsquared)

plt.legend()

Non-Linear Regression:



In [ ]:

    
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit



In [ ]:

    
xdata = issues_all_df[['Rate', 'Number_of_Wks', 'Spt/Week', 'Total_Spots', 'Total_Dollars', 'Length_in_Sec', 'AM', 'PM',
                                                                  'Dark_Money', 'Liberal', 
                                                                  'Local', 'Renewable_Energy', 'Pro_Collective_Bargaining',
                                                                  'Casino_Expansion', 'Anti_2nd_Detroit_Bridge', 'Homecare_in_State_Constitution', 
                                                                  'Romney_for_President', 'Govt_Emergency_Fund', 'McCormack_for_Supreme_Ct_D', 
                                                                  'Universal_Healthcare', 'Stabenow_for_Senate_D_I', 'In_Place']]
ydata = issues_all_df['Percentage_of_Vote']



In [ ]:

    
plt.plot(xdata,ydata,'*')
plt.xlabel('xdata')
plt.ylabel('ydata');



In [ ]:

    
def func(x, p1,p2):
  return p1*np.cos(p2*x) + p2*np.sin(p1*x)



In [ ]:

    
#popt, pcov = curve_fit(func, xdata, ydata,p0=(1.0,0.2))
#popt



In [ ]:

Making everything about dark money:



In [ ]:

    
non_candidate_2012_df[non_candidate_2012_df['Dark_Money'] ==300]['Advertiser_Clean2'].value_counts()



In [ ]:

    
dark_money_2012_df = non_candidate_2012_df[non_candidate_2012_df['Dark_Money'] ==300]



In [ ]:

    
ad_total_grouped = dark_money_2012_df['Total_Dollars'].groupby(dark_money_2012_df['Ad_Focus'])



In [ ]:

    
ad_total_size = ad_total_grouped.size()

How do I sort the x axis by normal distribution, not alphabet?



In [ ]:

    
ad_total_size.plot(kind = 'barh', xlim = [0, 800], 
                   title = "Dark Money Ad Focus 2012 (Color: Advertiser's Politics)", 
                   color = ['r', 'r'])



In [ ]:

    
ad_local_grouped = dark_money_2012_df['Local'].groupby(dark_money_2012_df['Ad_Focus'])



In [ ]:

    
ad_local_size = ad_local_grouped.size()



In [ ]:

    
local_advertisers = dark_money_2012_df[dark_money_2012_df['Local'] == 300]



In [ ]:

    
national_advertisers = dark_money_2012_df[dark_money_2012_df['Local'] == 0]



In [ ]:

    
local_advertisers.columns

How do I smooth out these lines?

I want to add in two markers: 30 days before primary and 60 days before general election

Hypothesis: there is so much more spending by national groups in the early days because they don't have to report those days to the FEC.

National dark money only for 2012



In [ ]:

    
#local_advertisers.plot(x = 'Ending_Date', y = 'Total_Dollars', color = 'brown')



In [ ]:

    
import numpy as np
import matplotlib.pyplot as plt

#local_advertisers['Cum_Dollars'] = np.cumsum(local_advertisers['Total_Dollars'])
national_advertisers['Cum_Dollars'] = np.cumsum(national_advertisers['Total_Dollars'])

#local_y = cumsum(local_advertisers['Total_Dollars'])
#local_x = local_advertisers['Air_or_Ending_Date']


#local_advertisers.plot('Ending_Date', 'Cum_Dollars', color = 'blue')

national_advertisers.plot(x = 'Ending_Date', ylim = [0,1000000],
                          title = "Ad Spending Over Time 2012 (Green: National)", 
                          y = 'Cum_Dollars', color = 'green')



In [ ]:

    
#national_advertisers.plot(x = 'Ending_Date', 
 #                         title = "Ad Spending Sched (Brown: Local Advertiser, Green: National Advertiser)", 
  #                        y = 'Total_Dollars', color = 'green')



In [ ]:

    
local_ad_total_grouped = local_advertisers['Total_Dollars'].groupby(dark_money_2012_df['Ad_Focus'])

national_ad_total_grouped = national_advertisers['Total_Dollars'].groupby(dark_money_2012_df['Ad_Focus'])

local_ad_total_size = local_ad_total_grouped.size()

national_ad_total_size = national_ad_total_grouped.size()



In [ ]:

    
all_total_grouped = non_candidate_2012_df['Total_Dollars'].groupby(non_candidate_2012_df['Ad_Focus'])



In [ ]:



In [ ]:

    
all_total_grouped = non_candidate_2012_df['Total_Dollars'].groupby(non_candidate_2012_df['Dark_Money', 'Ad_Focus'])
#all_total_size = all_total_grouped.size()



In [ ]:



In [ ]:

    
all_total_size.plot(kind = 'barh', xlim = [0, 800], 
                   title = "Ad Focus 2012 (Purple: Dark Money)",
                   color = ['yellow'])
ad_total_size.plot(kind = 'barh', xlim = [0, 800],  
                   color = ['purple'])



In [ ]:

    
all_total_grouped = non_candidate_2012_df['Total_Dollars'].groupby(non_candidate_2012_df['Ad_Focus'])
all_total_size = all_total_grouped.size()



In [ ]:

    
all_total_size.plot(kind = 'barh', xlim = [0, 800], 
                   title = "Ad Focus 2012 (Purple: Dark Money)",
                   color = ['yellow', 'yellow', 'yellow', 'yellow', 'yellow', 'purple',
                            'purple', 'yellow', 'yellow', 'yellow', 'yellow', 'yellow',
                             'yellow', 'yellow',])



In [ ]:



In [ ]:

    
#local_ad_total_size.plot(kind = 'bar', title = "Negative vs Positive Ads Local Groups Only 2012 (Purple: Negative, Yellow: Positive)", color = ['purple', 'purple','purple', 'purple', 'purple', 'purple', 'yellow', 'yellow', 'yellow', 'yellow', 'yellow'])



In [ ]:

    
#national_ad_total_size.plot(kind = 'bar', title = "Negative vs Positive Ads National Groups Only 2012(Purple: Negative, Yellow: Positive)", color = ['purple', 'purple', 'purple',  'purple', 'purple', 'yellow', 'yellow',  'yellow', 'yellow', 'yellow'])



In [ ]:

    
#local_ad_total_size.plot(kind = 'barh', color = 'blue')
national_ad_total_size.plot(kind = 'barh', 
                            title = "Local Spending vs National Spending 2012 (Green: National)", color = 'green')



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In [ ]:

	Mod Code	Buy Line	Day/Time	Length	Rate	Starting Date	Ending Date	# of Wks	Spt/ Week	Total Spots	Total Dollars	Program Name	Rep: RA35+	Last Activity	Last Mod/Rev
0	NaN	##CASH ##MENT	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	NaN	1	Sa-Su/11-1135P	30S	1500	2012-10-13	2012-10-14	1	2	2	3000	LATE NEWS AT 11PM	0	2012-10-11 00:00:00	Rev #0: A
2	NaN	2	Sat/730-8P	30S	1000	2012-10-13	2012-10-13	1	1	1	1000	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A
3	NaN	3	Sun/7-8P	30S	4000	2012-10-14	2012-10-14	1	1	1	4000	60 MINUTES	0	2012-10-11 00:00:00	Rev #0: A
4	NaN	4	M-F/6-630A	30S	400	2012-10-15	2012-10-19	1	5	5	2000	NEWS 3 THIS AM	0	2012-10-11 00:00:00	Rev #0: A
5	NaN	5	M-F/9-10A	30S	400	2012-10-15	2012-10-19	1	5	5	2000	LIVE W/KELLY	0	2012-10-11 00:00:00	Rev #0: A
6	NaN	6	M-W,F/11A-12N	30S	1000	2012-10-15	2012-10-19	1	4	4	4000	PRICE IS RIGHT	0	2012-10-11 00:00:00	Rev #0: A
7	NaN	7	M,W-F/12N-1230P	30S	600	2012-10-15	2012-10-19	1	4	4	2400	NOON NEWS	0	2012-10-11 00:00:00	Rev #0: A
8	NaN	8	M-Tu,Th-F/5-530P	30S	1000	2012-10-15	2012-10-19	1	4	4	4000	NEWS 3 AT 5 P	0	2012-10-11 00:00:00	Rev #0: A
9	NaN	9	M-F/530-6P	30S	1000	2012-10-15	2012-10-19	1	5	5	5000	NEWS 3 AT 530P	0	2012-10-11 00:00:00	Rev #0: A
10	NaN	10	M-F/6-630P	30S	1500	2012-10-15	2012-10-19	1	5	5	7500	NEWS 3 AT 6PM	0	2012-10-11 00:00:00	Rev #0: A
11	NaN	11	M-F/7-730P	30S	2500	2012-10-15	2012-10-19	1	5	5	12500	WHEEL	0	2012-10-11 00:00:00	Rev #0: A
12	NaN	12	M-F/730-8P	30S	2500	2012-10-15	2012-10-19	1	5	5	12500	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A
13	NaN	13	M-W,F-Sa/11-1135P	30S	1500	2012-10-15	2012-10-20	1	5	5	7500	LATE NEWS AT 11PM	0	2012-10-11 00:00:00	Rev #0: A
14	NaN	14	Tue/8-9P	30S	5000	2012-10-16	2012-10-16	1	1	1	5000	NCIS-CBS	0	2012-10-11 00:00:00	Rev #0: A
15	NaN	15	Wed/10-11P	30S	3500	2012-10-17	2012-10-17	1	1	1	3500	CSI	0	2012-10-11 00:00:00	Rev #0: A
16	NaN	16	Fri/10-11P	30S	4000	2012-10-19	2012-10-19	1	1	1	4000	BLUE BLOODS	0	2012-10-11 00:00:00	Rev #0: A
17	NaN	17	Sat/730-8P	30S	1000	2012-10-20	2012-10-20	1	1	1	1000	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A
18	NaN	18	Sun/7-8P	30S	4000	2012-10-21	2012-10-21	1	1	1	4000	60 MINUTES	0	2012-10-11 00:00:00	Rev #0: A
19	NaN	19	Mon/6-630A	30S	400	2012-10-22	2012-10-22	1	1	1	400	NEWS 3 THIS MRN	0	2012-10-11 00:00:00	Rev #0: A
20	NaN	20	Mon/9-10A	30S	400	2012-10-22	2012-10-22	1	1	1	400	LIVE WITH KELLY	0	2012-10-11 00:00:00	Rev #0: A
21	NaN	21	Mon/11A-12N	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	PRICE IS RIGHT	0	2012-10-11 00:00:00	Rev #0: A
22	NaN	22	Mon/12N-1230P	30S	600	2012-10-22	2012-10-22	1	1	1	600	NOON NEWS	0	2012-10-11 00:00:00	Rev #0: A
23	NaN	23	Mon/5-530P	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	5P NEWS	0	2012-10-11 00:00:00	Rev #0: A
24	NaN	24	Mon/530-6P	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	530P NEWS	0	2012-10-11 00:00:00	Rev #0: A
25	NaN	25	Mon/6-630P	30S	1500	2012-10-22	2012-10-22	1	1	1	1500	6P NEWS	0	2012-10-11 00:00:00	Rev #0: A
26	NaN	26	Mon/7-730P	30S	2500	2012-10-22	2012-10-22	1	1	1	2500	WHEEL	0	2012-10-11 00:00:00	Rev #0: A
27	NaN	27	Mon/730-8P	30S	2500	2012-10-22	2012-10-22	1	1	1	2500	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A
28	NaN	28	Mon/11-1135P	30S	1500	2012-10-22	2012-10-22	1	1	1	1500	11P NEWS	0	2012-10-11 00:00:00	Rev #0: A
29	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
30	NaN	NaN	Total 66 Spots for:	NaN	97300	NaT	NaT	NaN	NaN	66	97300	NaN	0	NaN	NaN
31	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
32	NaN	NaN	Monthly Estimate Dollars:	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
33	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	97300	Oct/12	0	Oct/12	NaN

	0	1
0	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	Mod Code Buy Line ...
1	2012/PROTECT WORKING FAMILY.4 (13510883292588)_df	Mod Code Buy Line ...
2	2012/DIBC.6 (13479936694353)_df	Mod Code Buy Line...
3	2012/CARE FOR MICHIGAN (13472857128655)_df	Mod Code Buy Line Day/...
4	2012/PROTECT MI VOTE 3 (13464155038459)_df	Mod Code Buy Line ...

	Mod_Code	Buy_Line	Day/Time	Length	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	Program_Name	Rating_RA35+	Rep:_RA35+	Last_Activity	Last_Mod/Rev	Advertiser_Name
0	NaN	##CASH ##MENT	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
1	NaN	1	Sa-Su/11-1135P	30S	1500	2012-10-13	2012-10-14	1	2	2	3000	LATE NEWS AT 11PM	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
2	NaN	2	Sat/730-8P	30S	1000	2012-10-13	2012-10-13	1	1	1	1000	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
3	NaN	3	Sun/7-8P	30S	4000	2012-10-14	2012-10-14	1	1	1	4000	60 MINUTES	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
4	NaN	4	M-F/6-630A	30S	400	2012-10-15	2012-10-19	1	5	5	2000	NEWS 3 THIS AM	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
5	NaN	5	M-F/9-10A	30S	400	2012-10-15	2012-10-19	1	5	5	2000	LIVE W/KELLY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
6	NaN	6	M-W,F/11A-12N	30S	1000	2012-10-15	2012-10-19	1	4	4	4000	PRICE IS RIGHT	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
7	NaN	7	M,W-F/12N-1230P	30S	600	2012-10-15	2012-10-19	1	4	4	2400	NOON NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
8	NaN	8	M-Tu,Th-F/5-530P	30S	1000	2012-10-15	2012-10-19	1	4	4	4000	NEWS 3 AT 5 P	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
9	NaN	9	M-F/530-6P	30S	1000	2012-10-15	2012-10-19	1	5	5	5000	NEWS 3 AT 530P	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
10	NaN	10	M-F/6-630P	30S	1500	2012-10-15	2012-10-19	1	5	5	7500	NEWS 3 AT 6PM	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
11	NaN	11	M-F/7-730P	30S	2500	2012-10-15	2012-10-19	1	5	5	12500	WHEEL	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
12	NaN	12	M-F/730-8P	30S	2500	2012-10-15	2012-10-19	1	5	5	12500	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
13	NaN	13	M-W,F-Sa/11-1135P	30S	1500	2012-10-15	2012-10-20	1	5	5	7500	LATE NEWS AT 11PM	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
14	NaN	14	Tue/8-9P	30S	5000	2012-10-16	2012-10-16	1	1	1	5000	NCIS-CBS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
15	NaN	15	Wed/10-11P	30S	3500	2012-10-17	2012-10-17	1	1	1	3500	CSI	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
16	NaN	16	Fri/10-11P	30S	4000	2012-10-19	2012-10-19	1	1	1	4000	BLUE BLOODS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
17	NaN	17	Sat/730-8P	30S	1000	2012-10-20	2012-10-20	1	1	1	1000	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
18	NaN	18	Sun/7-8P	30S	4000	2012-10-21	2012-10-21	1	1	1	4000	60 MINUTES	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
19	NaN	19	Mon/6-630A	30S	400	2012-10-22	2012-10-22	1	1	1	400	NEWS 3 THIS MRN	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
20	NaN	20	Mon/9-10A	30S	400	2012-10-22	2012-10-22	1	1	1	400	LIVE WITH KELLY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
21	NaN	21	Mon/11A-12N	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	PRICE IS RIGHT	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
22	NaN	22	Mon/12N-1230P	30S	600	2012-10-22	2012-10-22	1	1	1	600	NOON NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
23	NaN	23	Mon/5-530P	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	5P NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
24	NaN	24	Mon/530-6P	30S	1000	2012-10-22	2012-10-22	1	1	1	1000	530P NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
25	NaN	25	Mon/6-630P	30S	1500	2012-10-22	2012-10-22	1	1	1	1500	6P NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
26	NaN	26	Mon/7-730P	30S	2500	2012-10-22	2012-10-22	1	1	1	2500	WHEEL	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
27	NaN	27	Mon/730-8P	30S	2500	2012-10-22	2012-10-22	1	1	1	2500	JEOPARDY	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
28	NaN	28	Mon/11-1135P	30S	1500	2012-10-22	2012-10-22	1	1	1	1500	11P NEWS	0	2012-10-11 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
29	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.5 (13499895577303)_df	None
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
7999	NaN	1	Tu-F/5-530P	30S	2000	2012-10-30	2012-11-02	1	4	4	8000	NEWS AT 5PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8000	NaN	NaN	Contract Comment: 1X PER DAY	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8001	NaN	2	Tu-F/530-6P	30S	2000	2012-10-30	2012-11-02	1	4	4	8000	NEWS AT 530PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8002	NaN	NaN	Contract Comment: 1X PER DAY	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8003	NaN	3	Tu-F/6-630P	30S	3500	2012-10-30	2012-11-02	1	4	4	14000	NEWS AT 6PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8004	NaN	NaN	Contract Comment: 1X PER DAY	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8005	NaN	4	Tu-F/7-730P	30S	5000	2012-10-30	2012-11-02	1	4	4	20000	WHEEL	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8006	NaN	NaN	Contract Comment: 1X PER DAY	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8007	NaN	5	Tu-F/730-8P	30S	5000	2012-10-30	2012-11-02	1	4	4	20000	JEOPARDY	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8008	NaN	NaN	Contract Comment: 1X PER DAY	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8009	NaN	6	Tue/8-9P	30S	7000	2012-10-30	2012-10-30	1	1	1	7000	NCIS	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8010	NaN	7	Thu/9-10P	30S	6000	2012-11-01	2012-11-01	1	1	1	6000	PERSON OF INTEREST	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8011	NaN	8	Thu/10-11P	30S	6000	2012-11-01	2012-11-01	1	1	1	6000	ELEMENTARY	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8012	NaN	9	Sat/7-730P	30S	2000	2012-11-03	2012-11-03	1	1	1	2000	WHEEL	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8013	NaN	10	Sat/730-8P	30S	2000	2012-11-03	2012-11-03	1	1	1	2000	JEOPARDY	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8014	NaN	11	Sat/9-10P	30S	2500	2012-11-03	2012-11-03	1	1	1	2500	CRIMETIME	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8015	NaN	12	Sun/1-4P	30S	4000	2012-11-04	2012-11-04	1	2	2	8000	NFL GAME 1	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8016	NaN	13	Sun/4-7P	30S	5000	2012-11-04	2012-11-04	1	1	1	5000	NFL GAME 2	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8017	NaN	14	Sun/7-8P	30S	6000	2012-11-04	2012-11-04	1	1	1	6000	60 MINUTES	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8018	NaN	15	Sun/8-9P	30S	6000	2012-11-04	2012-11-04	1	1	1	6000	AMAZING RACE	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8019	NaN	16	Mon/5-530P	30S	2000	2012-11-05	2012-11-05	1	1	1	2000	NEWS AT 5PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8020	NaN	17	Mon/530-6P	30S	2000	2012-11-05	2012-11-05	1	1	1	2000	NEWS AT 530PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8021	NaN	18	Mon/6-630P	30S	3500	2012-11-05	2012-11-05	1	1	1	3500	NEWS AT 6PM	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8022	NaN	19	Mon/7-730P	30S	5000	2012-11-05	2012-11-05	1	1	1	5000	WHEEL	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8023	NaN	20	Mon/730-8P	30S	5000	2012-11-05	2012-11-05	1	1	1	5000	JEOPARDY	0	2012-10-23 00:00:00	Rev #0: A	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8024	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8025	NaN	NaN	Total 36 Spots for:	NaN	138000	NaT	NaT	NaN	NaN	36	138000	NaN	0	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8026	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8027	NaN	NaN	Monthly Estimate Dollars:	NaN	NaN	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None
8028	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	NaN	138000	Nov/12	0	Nov/12	NaN	2012/RESTORE OUR FUTURE.7 (13510901506418)_df	None

	0
NEWS	227
NWSCHNL3 AT 6A	178
DR. PHIL	165
LIVE WTH KELLY	131
ANDERSON	130
JEOPARDY	120
SOAP OPERA ROTATION	104
CBS THS MRNG-2<	103
LIVE WITH KELLY	100
LT-FERGUSN-CBS<	99
D LETTRMAN-CBS<	99
NWSCHNL3 AT 5A	99
PRICE IS RIGHT	90
LETS-DEAL1-CBS/LETS-DEAL2-CBS	89
CBS THIS MORNING	80
WHEEL OF FORTUNE	79
NWSCHNL3-NOON	66
LETTERMAN	63
NWSCHNL3-530PM	61
WHEEL-FORTNE	59
11P NEWS	49
6A NEWS	48
PM SOAP ROTATION	45
NEW CBS TALK SHOW	45
NOON NEWS	45
ANDERSON COOPER	44
NWSCHNL3 AT 6P	42
DR PHIL	42
NEWSCHANNEL3 AT 11P	41
NWSCHNL311AT11<	41
...	...
HAWAII	1
SUN CBS THIS MORNING	1
SEC FOOTBALL	1
NEWS 3 THIS MRN	1
NFL GAME 2	1
LATE NEWSW AT 11PM	1
NFL FOOTBALL	1
COMEDYTIME	1
BIG BANG/TWO TALF MEN	1
BIG BROTHER	1
CBS SUNDAY AM	1
SAT WHEEL FOTURNE	1
NCAA GAME OF THE WEEK	1
SEC AL V LSU	1
SAT CBS THIS MORN	1
MICH VS ILLIN	1
48HR MYSTERY	1
CBS SUN MORNING	1
NEWS 3 AT 5 P	1
PRES DEBATE	1
CRIME MINDS	1
SEC	1
CBS THIS MORN	1
SU CBS THIS MORN	1
CRIMTME SA-CBS	1
WKND EARLY NEWS	1
NEWS 3 THIS AM	1
NEWS 2 THIS MORNING	1
48HR MSTRY-CBS	1
SUN MORN	1

	Advertiser_Clean2	Contract	Buy_Line	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	...	Romney_for_President
1	RESTORE OUR FUTURE	13499895577303	1	1500	2012-10-13	2012-10-14	1	2	2	3000	...	300
2	RESTORE OUR FUTURE	13499895577303	2	1000	2012-10-13	2012-10-13	1	1	1	1000	...	300
3	RESTORE OUR FUTURE	13499895577303	3	4000	2012-10-14	2012-10-14	1	1	1	4000	...	300
4	RESTORE OUR FUTURE	13499895577303	4	400	2012-10-15	2012-10-19	1	5	5	2000	...	300
5	RESTORE OUR FUTURE	13499895577303	5	400	2012-10-15	2012-10-19	1	5	5	2000	...	300

	Advertiser_Clean2	Contract	Buy_Line	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	...	Stabenow_for_Senate_D_I	In_Place	Percentage_of_Vote
0	HARD WORKING AMERICA	13510911887672	1	3500	2012-10-23	2012-10-26	1	4	4	14000	...	-300	1	59
1	HARD WORKING AMERICA	13510911887672	2	3500	2012-10-29	2012-11-01	1	4	4	14000	...	-300	1	59
2	AMER. FUTURE FU	13517038006806	1	10000	2012-11-01	2012-11-02	1	2	2	20000	...	-300	1	59
3	AMER. FUTURE FU	13517038006806	2	4000	2012-11-03	2012-11-03	1	1	1	4000	...	-300	1	59
4	AMER. FUTURE FU	13517038006806	3	10000	2012-11-05	2012-11-05	1	1	1	10000	...	-300	1	59

	Advertiser_Clean2	Contract	Buy_Line	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	...	Casino_Expansion	Anti_2nd_Detroit_Bridge	Homecare_in_State_Constitution	Romney_for_President	Govt_Emergency_Fund	McCormack_for_Supreme_Ct_D	Universal_Healthcare	Stabenow_for_Senate_D_I	In_Place	Percentage_of_Vote
0	CIT 4 AFF QUALITY HOMECARE	13492736117723	1	450	2012-10-12	2012-10-12	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
1	CIT 4 AFF QUALITY HOMECARE	13492736117723	2	1000	2012-10-12	2012-10-12	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
2	CIT 4 AFF QUALITY HOMECARE	13492736117723	3	300	2012-10-12	2012-10-12	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
3	CIT 4 AFF QUALITY HOMECARE	13492736117723	4	300	2012-10-12	2012-10-12	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
4	CIT 4 AFF QUALITY HOMECARE	13492736117723	5	400	2012-10-12	2012-10-12	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
5	CIT 4 AFF QUALITY HOMECARE	13492736117723	6	250	2012-10-12	2012-10-12	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
6	CIT 4 AFF QUALITY HOMECARE	13492736117723	7	450	2012-10-12	2012-10-12	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
7	CIT 4 AFF QUALITY HOMECARE	13492736117723	8	450	2012-10-15	2012-10-15	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
8	CIT 4 AFF QUALITY HOMECARE	13492736117723	9	1000	2012-10-15	2012-10-15	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
9	CIT 4 AFF QUALITY HOMECARE	13492736117723	10	300	2012-10-15	2012-10-15	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
10	CIT 4 AFF QUALITY HOMECARE	13492736117723	11	300	2012-10-15	2012-10-15	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
11	CIT 4 AFF QUALITY HOMECARE	13492736117723	12	400	2012-10-15	2012-10-15	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
12	CIT 4 AFF QUALITY HOMECARE	13492736117723	13	250	2012-10-15	2012-10-15	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
13	CIT 4 AFF QUALITY HOMECARE	13492736117723	14	450	2012-10-15	2012-10-15	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
14	CIT 4 AFF QUALITY HOMECARE	13492736117723	15	750	2012-10-13	2012-10-13	1	1	1	750	...	0	0	300	0	0	0	0	0	0	44
15	CIT 4 AFF QUALITY HOMECARE	13492736117723	16	150	2012-10-13	2012-10-13	1	1	1	150	...	0	0	300	0	0	0	0	0	0	44
16	CIT 4 AFF QUALITY HOMECARE	13492736117723	17	450	2012-10-11	2012-10-11	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
17	CIT 4 AFF QUALITY HOMECARE	13492736117723	18	1000	2012-10-11	2012-10-11	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
18	CIT 4 AFF QUALITY HOMECARE	13492736117723	19	300	2012-10-11	2012-10-11	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
19	CIT 4 AFF QUALITY HOMECARE	13492736117723	20	300	2012-10-11	2012-10-11	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
20	CIT 4 AFF QUALITY HOMECARE	13492736117723	21	400	2012-10-11	2012-10-11	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
21	CIT 4 AFF QUALITY HOMECARE	13492736117723	22	250	2012-10-11	2012-10-11	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
22	CIT 4 AFF QUALITY HOMECARE	13492736117723	23	2000	2012-10-11	2012-10-11	1	1	1	2000	...	0	0	300	0	0	0	0	0	0	44
23	CIT 4 AFF QUALITY HOMECARE	13492736117723	24	450	2012-10-11	2012-10-11	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
24	CIT 4 AFF QUALITY HOMECARE	13492736117723	25	450	2012-10-09	2012-10-09	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
25	CIT 4 AFF QUALITY HOMECARE	13492736117723	26	1000	2012-10-09	2012-10-09	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
26	CIT 4 AFF QUALITY HOMECARE	13492736117723	27	300	2012-10-09	2012-10-09	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
27	CIT 4 AFF QUALITY HOMECARE	13492736117723	28	300	2012-10-09	2012-10-09	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
28	CIT 4 AFF QUALITY HOMECARE	13492736117723	29	400	2012-10-09	2012-10-09	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
29	CIT 4 AFF QUALITY HOMECARE	13492736117723	30	250	2012-10-09	2012-10-09	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
328	CIT 4 AFF QUALITY HOMECARE	13492802791979	9	1000	2012-10-08	2012-10-08	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
329	CIT 4 AFF QUALITY HOMECARE	13492802791979	10	300	2012-10-08	2012-10-08	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
330	CIT 4 AFF QUALITY HOMECARE	13492802791979	11	300	2012-10-08	2012-10-08	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
331	CIT 4 AFF QUALITY HOMECARE	13492802791979	12	400	2012-10-08	2012-10-08	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
332	CIT 4 AFF QUALITY HOMECARE	13492802791979	13	250	2012-10-08	2012-10-08	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
333	CIT 4 AFF QUALITY HOMECARE	13492802791979	14	450	2012-10-08	2012-10-08	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
334	CIT 4 AFF QUALITY HOMECARE	13492802791979	15	150	2012-10-06	2012-10-06	1	1	1	150	...	0	0	300	0	0	0	0	0	0	44
335	CIT 4 AFF QUALITY HOMECARE	13492802791979	16	1000	2012-10-07	2012-10-07	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
336	CIT 4 AFF QUALITY HOMECARE	13492802791979	17	450	2012-10-04	2012-10-04	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
337	CIT 4 AFF QUALITY HOMECARE	13492802791979	18	1000	2012-10-04	2012-10-04	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
338	CIT 4 AFF QUALITY HOMECARE	13492802791979	19	300	2012-10-04	2012-10-04	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
339	CIT 4 AFF QUALITY HOMECARE	13492802791979	20	300	2012-10-04	2012-10-04	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
340	CIT 4 AFF QUALITY HOMECARE	13492802791979	21	400	2012-10-04	2012-10-04	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
341	CIT 4 AFF QUALITY HOMECARE	13492802791979	22	250	2012-10-04	2012-10-04	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
342	CIT 4 AFF QUALITY HOMECARE	13492802791979	23	450	2012-10-04	2012-10-04	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
343	CIT 4 AFF QUALITY HOMECARE	13492802791979	24	450	2012-10-02	2012-10-02	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
344	CIT 4 AFF QUALITY HOMECARE	13492802791979	25	1000	2012-10-02	2012-10-02	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
345	CIT 4 AFF QUALITY HOMECARE	13492802791979	26	300	2012-10-02	2012-10-02	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
346	CIT 4 AFF QUALITY HOMECARE	13492802791979	27	300	2012-10-02	2012-10-02	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
347	CIT 4 AFF QUALITY HOMECARE	13492802791979	28	400	2012-10-02	2012-10-02	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
348	CIT 4 AFF QUALITY HOMECARE	13492802791979	29	250	2012-10-02	2012-10-02	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
349	CIT 4 AFF QUALITY HOMECARE	13492802791979	30	450	2012-10-02	2012-10-02	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
350	CIT 4 AFF QUALITY HOMECARE	13492802791979	31	450	2012-10-03	2012-10-03	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44
351	CIT 4 AFF QUALITY HOMECARE	13492802791979	32	1000	2012-10-03	2012-10-03	1	1	1	1000	...	0	0	300	0	0	0	0	0	0	44
352	CIT 4 AFF QUALITY HOMECARE	13492802791979	33	300	2012-10-03	2012-10-03	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
353	CIT 4 AFF QUALITY HOMECARE	13492802791979	34	300	2012-10-03	2012-10-03	1	1	1	300	...	0	0	300	0	0	0	0	0	0	44
354	CIT 4 AFF QUALITY HOMECARE	13492802791979	35	400	2012-10-03	2012-10-03	1	1	1	400	...	0	0	300	0	0	0	0	0	0	44
355	CIT 4 AFF QUALITY HOMECARE	13492802791979	36	250	2012-10-03	2012-10-03	1	1	1	250	...	0	0	300	0	0	0	0	0	0	44
356	CIT 4 AFF QUALITY HOMECARE	13492802791979	37	2000	2012-10-03	2012-10-03	1	1	1	2000	...	0	0	300	0	0	0	0	0	0	44
357	CIT 4 AFF QUALITY HOMECARE	13492802791979	38	450	2012-10-03	2012-10-03	1	1	1	450	...	0	0	300	0	0	0	0	0	0	44

	Advertiser_Clean2	Contract	Buy_Line	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	...	McCormack_for_Supreme_Ct_D	Universal_Healthcare	Percentage_of_Vote
0	JUDICIAL CRISIS NETWO	13517062888744	1	4000	2012-11-02	2012-11-02	1	1	1	4000	...	-300	0	23.5
1	JUDICIAL CRISIS NETWO	13517062888744	2	1600	2012-11-02	2012-11-02	1	1	1	1600	...	-300	0	23.5
2	JUDICIAL CRISIS NETWO	13517062888744	3	7000	2012-11-02	2012-11-02	1	1	1	7000	...	-300	0	23.5
3	JUDICIAL CRISIS NETWO	13517062888744	4	4000	2012-11-05	2012-11-05	1	1	1	4000	...	-300	0	23.5
4	JUDICIAL CRISIS NETWO	13517062888744	5	1600	2012-11-05	2012-11-05	1	1	1	1600	...	-300	0	23.5
5	JUDICIAL CRISIS NETWO	13517062888744	6	7000	2012-11-05	2012-11-05	1	1	1	7000	...	-300	0	23.5
6	JUDICIAL CRISIS NETWO	13517062888744	7	10000	2012-11-05	2012-11-05	1	1	1	10000	...	-300	0	23.5
7	JUDICIAL CRISIS NETWO	13517062888744	8	4000	2012-11-03	2012-11-03	1	1	1	4000	...	-300	0	23.5
8	JUDICIAL CRISIS NETWO	13517062888744	9	4000	2012-11-03	2012-11-03	1	1	1	4000	...	-300	0	23.5
9	JUDICIAL CRISIS NETWO	13517062888744	10	5000	2012-11-04	2012-11-04	1	1	1	5000	...	-300	0	23.5
10	JUDICIAL CRISIS NETWO	13517062888744	11	4000	2012-11-01	2012-11-01	1	1	1	4000	...	-300	0	23.5
11	JUDICIAL CRISIS NETWO	13517062888744	12	1600	2012-11-01	2012-11-01	1	1	1	1600	...	-300	0	23.5
12	JUDICIAL CRISIS NETWO	13517062888744	13	7000	2012-11-01	2012-11-01	1	1	1	7000	...	-300	0	23.5
13	JUDICIAL CRISIS NETWO	13517062888744	14	1600	2012-11-06	2012-11-06	1	1	1	1600	...	-300	0	23.5
0	60 PLU	13517071561034	1	10000	2012-11-01	2012-11-02	1	1	1	10000	...	0	-300	51.1
1	60 PLU	13517071561034	2	10000	2012-11-01	2012-11-02	1	1	1	10000	...	0	-300	51.1
2	60 PLU	13517071561034	3	10000	2012-11-05	2012-11-05	1	1	1	10000	...	0	-300	51.1
3	60 PLU	13517071561034	4	10000	2012-11-05	2012-11-05	1	1	1	10000	...	0	-300	51.1

	Advertiser_Clean2	Contract	Buy_Line	Rate	Starting_Date	Ending_Date	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	...	Percentage_of_Vote
0	PROTECT WORKING FAMILIES	13510883292588	1	300	2012-11-02	2012-11-02	1	1	1	300	...	42
1	PROTECT WORKING FAMILIES	13510883292588	2	50	2012-11-02	2012-11-02	1	2	2	100	...	42
2	PROTECT WORKING FAMILIES	13510883292588	3	400	2012-11-02	2012-11-02	1	1	1	400	...	42
3	PROTECT WORKING FAMILIES	13510883292588	4	400	2012-11-02	2012-11-02	1	1	1	400	...	42
4	PROTECT WORKING FAMILIES	13510883292588	5	250	2012-11-02	2012-11-02	1	1	1	250	...	42

	Rate	Number_of_Wks	Spt/Week	Total_Spots	Total_Dollars	Length_in_Sec	AM	PM	10:00	10:30	...	Pro_Collective_Bargaining	Casino_Expansion	Anti_2nd_Detroit_Bridge	Homecare_in_State_Constitution	Romney_for_President	Govt_Emergency_Fund	McCormack_for_Supreme_Ct_D	Universal_Healthcare	Stabenow_for_Senate_D_I	In_Place
0	0.254518	-0.013826	-0.01705	-0.018778	0.145483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
1	0.054309	-0.013826	-0.01705	-0.018778	0.025483	0	0.568466	-0.648764	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
2	0.504778	-0.013826	-0.01705	-0.018778	0.295483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
3	0.254518	-0.013826	-0.01705	-0.018778	0.145483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
4	0.054309	-0.013826	-0.01705	-0.018778	0.025483	0	0.568466	-0.648764	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
5	0.504778	-0.013826	-0.01705	-0.018778	0.295483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
6	0.755039	-0.013826	-0.01705	-0.018778	0.445483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
7	0.254518	-0.013826	-0.01705	-0.018778	0.145483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
8	0.254518	-0.013826	-0.01705	-0.018778	0.145483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
9	0.337938	-0.013826	-0.01705	-0.018778	0.195483	0	0.568466	-0.648764	-0.137995	0.982186	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
10	0.254518	-0.013826	-0.01705	-0.018778	0.145483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
11	0.054309	-0.013826	-0.01705	-0.018778	0.025483	0	0.568466	-0.648764	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
12	0.504778	-0.013826	-0.01705	-0.018778	0.295483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
13	0.054309	-0.013826	-0.01705	-0.018778	0.025483	0	0.568466	-0.648764	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	-0.996278	0.001064	0.001329	-0.001329
0	0.755039	-0.013826	-0.01705	-0.018778	0.445483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	-0.998936	0.001329	-0.001329
1	0.755039	-0.013826	-0.01705	-0.018778	0.445483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	-0.998936	0.001329	-0.001329
2	0.755039	-0.013826	-0.01705	-0.018778	0.445483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	-0.998936	0.001329	-0.001329
3	0.755039	-0.013826	-0.01705	-0.018778	0.445483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	-0.998936	0.001329	-0.001329
0	-0.029111	-0.013826	0.10795	0.106222	0.005483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
1	-0.029111	-0.013826	-0.01705	-0.018778	-0.024517	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
2	0.075164	-0.013826	0.23295	0.231222	0.222983	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
3	0.075164	-0.013826	-0.01705	-0.018778	0.037983	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
4	0.129387	-0.013826	0.23295	0.231222	0.320483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
5	0.129387	-0.013826	-0.01705	-0.018778	0.070483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
6	0.045967	-0.013826	-0.01705	-0.018778	0.020483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
7	0.045967	-0.013826	-0.01705	-0.018778	0.020483	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
8	0.045967	-0.013826	-0.14205	-0.143778	-0.054517	0	0.568466	-0.648764	-0.137995	0.982186	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
9	0.129387	-0.013826	-0.01705	-0.018778	0.070483	0	0.568466	-0.648764	-0.137995	0.982186	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
10	0.004257	-0.013826	-0.14205	-0.143778	-0.054517	0	0.568466	-0.648764	-0.137995	0.982186	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
11	-0.037453	-0.013826	-0.01705	-0.018778	-0.029517	0	-0.431534	0.351236	-0.137995	-0.017814	...	0.028317	0	-0.012098	-0.012364	-0.05238	0.992555	0.003722	0.001064	0.001329	-0.001329
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
1386	-0.054137	-0.013826	-0.01705	-0.018778	-0.039517	0	0.568466	-0.648764	0.862005	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1387	-0.054137	-0.013826	-0.01705	-0.018778	-0.039517	0	0.568466	-0.648764	0.862005	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1388	-0.054137	-0.013826	-0.01705	-0.018778	-0.039517	0	0.568466	-0.648764	0.862005	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1389	-0.045795	-0.013826	-0.14205	-0.143778	-0.054517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1390	-0.045795	-0.013826	-0.01705	-0.018778	-0.034517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1391	-0.045795	-0.013826	-0.01705	-0.018778	-0.034517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1392	-0.045795	-0.013826	-0.01705	-0.018778	-0.034517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1393	-0.012427	-0.013826	-0.14205	-0.143778	-0.054517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1394	-0.012427	-0.013826	-0.01705	-0.018778	-0.014517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1395	-0.012427	-0.013826	-0.01705	-0.018778	-0.014517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1396	-0.012427	-0.013826	-0.01705	-0.018778	-0.014517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1397	0.004257	-0.013826	-0.01705	-0.018778	-0.004517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1398	0.004257	-0.013826	-0.01705	-0.018778	-0.004517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1399	0.070993	-0.013826	-0.14205	-0.143778	-0.054517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1400	0.070993	-0.013826	-0.01705	-0.018778	0.035483	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1401	0.070993	-0.013826	-0.01705	-0.018778	0.035483	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1402	0.070993	-0.013826	-0.01705	-0.018778	0.035483	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1403	-0.016598	-0.013826	-0.14205	-0.143778	-0.054517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1404	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1405	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1406	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1407	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1408	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1409	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1410	-0.066650	-0.013826	-0.01705	-0.018778	-0.047017	0	0.568466	-0.648764	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1411	-0.045795	-0.013826	-0.01705	-0.018778	-0.034517	0	0.568466	-0.648764	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1412	-0.045795	-0.013826	-0.01705	-0.018778	-0.034517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1413	-0.012427	-0.013826	-0.01705	-0.018778	-0.014517	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1414	-0.016598	-0.013826	-0.01705	-0.018778	-0.017017	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329
1415	0.070993	-0.013826	-0.01705	-0.018778	0.035483	0	-0.431534	0.351236	-0.137995	-0.017814	...	-0.471683	0	-0.012098	-0.012364	-0.05238	-0.007445	0.003722	0.001064	0.001329	-0.001329