In [4]:

    

%pylab inline

import pandas as pd


    

    




Populating the interactive namespace from numpy and matplotlib

In [5]:

    

train_set = pd.read_csv("data/competition_data/train_set.csv")
np.log(train_set.cost + 1).hist(bins=100)


    

    
Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x4fa5250>






    

In [7]:

    

train_pred = pd.read_csv("train_pred.csv")
# train_pred.cost.hist(bins=100)
np.log(train_pred.cost + 1).hist(bins=100)


    

    
Out[7]:





<matplotlib.axes._subplots.AxesSubplot at 0x56d3890>






    

In [6]:

    

test_pred = pd.read_csv("test_pred.csv")
# test_pred.cost.hist(bins=100)
np.log(test_pred.cost + 1).hist(bins=100)


    

    
Out[6]:





<matplotlib.axes._subplots.AxesSubplot at 0x54b0a90>






    

In [ ]: