In [1]:

    

%matplotlib inline

import pandas as pd


    

In [79]:

    

df = pd.read_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/opal/OpalInsight-4May15.csv')


    

In [54]:

    

df_5may = pd.read_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/opal/OpalInsight-5May15.csv')


    

In [57]:

    

df_6may = pd.read_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/opal/OpalInsight-6May15.csv')


    

In [61]:

    

df_7may = pd.read_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/opal/OpalInsight-7May15.csv')


    

In [65]:

    

df_8may = pd.read_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/opal/OpalInsight-8May15.csv')


    

In [14]:

    

dest = df[(df['DESTINATIONLOCATION'].str.contains("^Parramatta Interchange"))& (df.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_paramatta_4_may.csv')


    

In [62]:

    

dest = df_5may[(df_5may['DESTINATIONLOCATION'].str.contains("^Parramatta Interchange"))& (df_5may.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_paramatta_5_may.csv')


    

In [63]:

    

dest = df_6may[(df_6may['DESTINATIONLOCATION'].str.contains("^Parramatta Interchange"))& (df_6may.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_paramatta_6_may.csv')


    

In [64]:

    

dest = df_7may[(df_7may['DESTINATIONLOCATION'].str.contains("^Parramatta Interchange"))& (df_7may.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_paramatta_7_may.csv')


    

In [66]:

    

dest = df_8may[(df_8may['DESTINATIONLOCATION'].str.contains("^Parramatta Interchange"))& (df_8may.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_paramatta_8_may.csv')


    

In [21]:

    

src = df[(df['ORIGINLOCATION'].str.contains("^Parramatta Interchange"))& (df.ORIGINLOCATIONTYPE != 0)]
out = src[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_paramatta_4_may.csv')


    

In [67]:

    

src = df_5may[(df_5may['ORIGINLOCATION'].str.contains("^Parramatta Interchange"))& (df_5may.ORIGINLOCATIONTYPE != 0)]
out = src[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_paramatta_5_may.csv')


    

In [68]:

    

src = df_6may[(df_6may['ORIGINLOCATION'].str.contains("^Parramatta Interchange"))& (df_6may.ORIGINLOCATIONTYPE != 0)]
out = src[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_paramatta_6_may.csv')


    

In [69]:

    

src = df_7may[(df_7may['ORIGINLOCATION'].str.contains("^Parramatta Interchange"))& (df_7may.ORIGINLOCATIONTYPE != 0)]
out = src[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_paramatta_7_may.csv')


    

In [70]:

    

src = df_8may[(df_8may['ORIGINLOCATION'].str.contains("^Parramatta Interchange"))& (df_8may.ORIGINLOCATIONTYPE != 0)]
out = src[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_paramatta_8_may.csv')


    

In [46]:

    

dest = df[(df['DESTINATIONLOCATION'].str.contains("^Chatswood Interchange"))& (df.ORIGINLOCATIONTYPE != 0)]
out = dest[['ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'ORIGINLAT', 'ORIGINLONG', 'JOURNEYSTARTTIME']]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/to_chatswood_4_may.csv')


    

In [ ]:

    

src = df[(df['ORIGINLOCATION'].str.contains("^Chatswood Interchange"))& (df.ORIGINLOCATIONTYPE != 0)]
out = src[]
out.to_csv('/Users/ramz.sivagurunathan/hacks/hackathon/datasets/curated/from_chatswood_4_may.csv')


    

In [21]:

    

user_travel = df.groupby(['JOURNEYID','MASKEDCIN'])


    

In [27]:

    

user_travel.filter(lambda x: len(x) > 1)
for user, journeys in user_travel:
    print len(journeys)
    if len(journeys) > 1:
        print journeys[['JOURNEYID','SEGMENTID','MASKEDCIN','ORIGINLOCATION', 'DESTINATIONLOCATION', 'JOURNEYSEGMENTTIME', 'DESTLAT', 'DESTLONG', 'JOURNEYSTARTTIME']]
        break
    break


    

    




1

In [51]:

    

user_travel = df.groupby(['MASKEDCIN']).filter(lambda x: len(x['MASKEDCIN']) >= 3).groupby(['MASKEDCIN'])


    

In [109]:

    

from datetime import datetime
start_location = {}
# user_travel['JOURNEYSTARTTIME'] = datetime.strptime(user_travel['JOURNEYSTARTTIME'], '%d/%b/%y %I:%M:%S.000000000 %p')
for user, journeys in user_travel:
    journey_list = journeys[['ORIGINLAT', 'ORIGINLONG', 'ORIGINTSN', 'JOURNEYSTARTTIME']].values
    journey_list = map(lambda x: [x[0], x[1], x[2], datetime.strptime(x[3], '%d/%b/%y %I:%M:%S.000000000 %p')], journey_list)
    journey_list.sort(key=lambda x: x[3])
    one_journey = start_location.get((journey_list[0][0], journey_list[0][1]), 0) + 1
    start_location[(journey_list[0][0], journey_list[0][1])] = one_journey
    
print(start_location)


    

    




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In [111]:

    

import json
with open('/Users/ramz.sivagurunathan/hacks/hackathon/code/passenger_start.json', 'wb') as fp:
    output_arr = []
    for k,v in start_location.iteritems():
        output_arr.append({'lat' : k[0], 'long': k [1], 'count' : v})
        
    json.dump(output_arr, fp)


    

In [113]:

    

len(start_location)


    

    
Out[113]:





11553

In [ ]: