In [1]:

    

%matplotlib inline
from bigbang.archive import Archive
from git_data import Repos;
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd


    

In [2]:

    

repo = Repos.get_repo("scipy")
full_info = repo.commit_data;


    

In [3]:

    

convolveArray = [1/(n+1) for n in range(9)]


    

In [4]:

    

commitsPerWeek = repo.commits_per_week()
commitsPerWeek.plot();


    

In [9]:

    

topCommitters = repo.by_committer()[-5:];
topCommitters.plot(kind='bar')


    

    
Out[9]:





<matplotlib.axes.AxesSubplot at 0x7fef368e8a50>






    

In [6]:

    

withoutTopCommitters = repo.commits_per_day_full().drop(topCommitters.index, 0, 1);
withoutTopCommitters = withoutTopCommitters.groupby(level = 0).size().resample("W", how=np.sum)
withoutTopCommitters.plot()
#commitsPerWeek.plot()


    

    
Out[6]:





<matplotlib.axes.AxesSubplot at 0x7fef36fa78d0>






    

In [17]:

    

sole_info = repo.commits_for_committer("Ralf Gommers")
sole_info = sole_info.resample("M", how = np.sum, axis = 0)
sole_info.plot()


    

    
Out[17]:





<matplotlib.axes.AxesSubplot at 0x7fef35da6910>






    

In [7]:

    




    

In [7]: