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In [63]:

    
import pandas as pd
from pandas import *
import matplotlib.pyplot as plt
%matplotlib inline
from ggplot import *
from numpy import random 
plt.style.use('ggplot')









    



---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-63-46c354c85d91> in <module>()
      5 from ggplot import *
      6 from numpy import random
----> 7 plt.style.use('ggplot')
      8 

AttributeError: 'module' object has no attribute 'style'



In [44]:

    
data = pd.read_csv("./annotated/fig4_table.csv", header=None)
data.columns = ['A','B','C','D','E']



In [59]:

    
data=data.drop('B',axis=1)
table = pivot_table(data, index=['A'], columns=['E'])
table









    Out[59]:






  
    
      
      C
    
    
      E
      No Sampling
      One-term
      Two-term
    
    
      A
      
      
      
    
  
  
    
      -2676499.387000
       88
       94
       89
    
    
      -2639204.495699
       16
       16
       97
    
    
      -2605097.638018
       16
       16
       97
    
    
      -2602803.781000
       61
       60
       61
    
    
      -2601829.570443
       16
       16
       97
    
    
      -2601594.728666
       16
       16
       97
    
    
      -2601313.228467
       16
       16
       97
    
    
      -2600891.787168
       16
       16
       97
    
    
      -2600834.749000
       61
       59
       61
    
    
      -2599726.211974
       16
       16
       97
    
    
      -2598851.666000
       61
       61
       61
    
    
      -2598572.819000
       61
       61
       61
    
    
      -2598508.186000
       61
       60
       61
    
    
      -2598498.457000
       61
       60
       61
    
    
      -2598487.073000
       61
       61
       61
    
    
      -2598424.272000
       61
       60
       61
    
    
      -2598423.780000
       61
       61
       61
    
    
      -2598386.660000
       61
       60
       61
    
    
      -2595844.069090
       16
       16
       97
    
    
      -2592702.947982
       16
       16
       97



In [62]:

    
pd.options.display.mpl_style = 'default' 
table.plot(kind='bar',  colors=['r', 'g', 'b'])









    Out[62]:





<matplotlib.axes.AxesSubplot at 0x9d92c04c>






    



/home/april/anaconda/lib/python2.7/site-packages/matplotlib/font_manager.py:1236: UserWarning: findfont: Font family ['monospace'] not found. Falling back to Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))



In [ ]:

	C
E	No Sampling	One-term	Two-term
A
-2676499.387000	88	94	89
-2639204.495699	16	16	97
-2605097.638018	16	16	97
-2602803.781000	61	60	61
-2601829.570443	16	16	97
-2601594.728666	16	16	97
-2601313.228467	16	16	97
-2600891.787168	16	16	97
-2600834.749000	61	59	61
-2599726.211974	16	16	97
-2598851.666000	61	61	61
-2598572.819000	61	61	61
-2598508.186000	61	60	61
-2598498.457000	61	60	61
-2598487.073000	61	61	61
-2598424.272000	61	60	61
-2598423.780000	61	61	61
-2598386.660000	61	60	61
-2595844.069090	16	16	97
-2592702.947982	16	16	97