In [14]:

    

import pandas as pd
import scipy as sp
import numpy as np

from abtools import ABtest, ARPUModel

%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('whitegrid')


    

In [15]:

    

data = pd.read_csv('data.csv')


    

In [16]:

    

a = data.query('abgroup == "control"')['revenue']
b = data.query('abgroup == "test"')['revenue']


    

In [17]:

    

test = ABtest(ARPUModel, [a, b], 5000)

test.test_all()


    

    




ABtest for 2 groups






    
Out[17]:





<abtools.abmodels.ABtest at 0x7fa0eaf3c7b8>

In [18]:

    

test.plot()


    

In [19]:

    

test.probabilities_df


    

    
Out[19]:







  

    

      

      
group1
      
group2
      
mean
    
  
  

    

      
group1
      
-
      
0.8766
      
1.11949601507
    
    

      
group2
      
0.1234
      
-
      
1.14051803111
    
    

      
mean
      
1.11949601507
      
1.14051803111
      
-
    
  

In [ ]: