In [1]:

    

import ga_utils as g
import pandas as pd
import auth as auth
import matplotlib
import config as config
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline


    

In [2]:

    

# launch auth process
auth.main()


    

    
Out[2]:





<googleapiclient.discovery.Resource at 0x118af1810>

In [3]:

    

df = g.get_all_pageviews("94275425", start_date='2015-05-01', end_date='2016-05-20')
df.head()


    

    
Out[3]:






  

    

      

      
ga:date
      
ga:pageviews
    
  
  

    

      
0
      
20150501
      
6016
    
    

      
1
      
20150502
      
5567
    
    

      
2
      
20150503
      
5737
    
    

      
3
      
20150504
      
4676
    
    

      
4
      
20150505
      
6296
    
  

In [4]:

    

from pylab import rcParams
rcParams['figure.figsize'] = 15, 10

df.set_index('ga:date')
n_days = 30
dd = pd.to_numeric(df['ga:pageviews']).as_matrix()

m = np.array([np.mean(dd[max(0, i - n_days) : i+1]) for i in range(len(dd))])

plt.plot(dd, g.colours['red'])
plt.plot(m, g.colours['blue'], linewidth=3)
plt.plot(pd.Series(df['ga:pageviews']).rolling(window=15).std(), g.colours['red'], linewidth=2)
plt.plot(pd.Series(df['ga:pageviews']).rolling(window=15).std(), g.colours['dark-blue'], linewidth=2)


    

    
Out[4]:





[<matplotlib.lines.Line2D at 0x11ae88f90>]






    

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