In [3]:

    

import pandas as pd


    

In [4]:

    

%%shell
cd /tmp
git clone git@github.com:Turbo87/utm
commit_opener --repo utm


    

    




ERROR: Cell magic `%%shell` not found.

In [7]:

    

contrib_data = pd.read_json('/tmp/contrib_data/contributor_data.json')
contrib_data


    

    
Out[7]:






  

    

      

      
commits
      
first
      
last
      
line_changes
      
max_dayly_commit_run
      
max_dry_stretch
      
median_commit_frequency
    
  
  

    

      
Bart van Andel
      
0.013333
      
2015-01-20T11:18:53.000Z
      
2015-01-20T11:18:53.000Z
      
0.000958
      
NaN
      
None
      
None
    
    

      
Christian Ewald
      
0.013333
      
2015-09-23T20:39:02.000Z
      
2015-09-23T20:39:02.000Z
      
0.025874
      
NaN
      
None
      
None
    
    

      
Richard Barnes
      
0.026667
      
2013-09-04T16:43:26.000Z
      
2013-09-04T16:45:03.000Z
      
0.005750
      
1
      
1970-01-01T00:00:00.000Z
      
1970-01-01T00:00:00.000Z
    
    

      
Tobias Bieniek
      
0.893333
      
2012-12-29T19:02:50.000Z
      
2015-11-05T13:08:23.000Z
      
0.958793
      
25
      
1971-01-10T00:00:00.000Z
      
1970-01-01T00:00:00.000Z
    
    

      
Torstein I. Bø
      
0.040000
      
2014-12-01T17:32:05.000Z
      
2015-02-04T13:01:18.000Z
      
0.007667
      
1
      
1970-03-06T00:00:00.000Z
      
1970-02-02T00:00:00.000Z
    
    

      
unknown
      
0.013333
      
2015-09-02T10:11:34.000Z
      
2015-09-02T10:11:34.000Z
      
0.000958
      
NaN
      
None
      
None
    
  

In [6]:

    

citation_data = pd.read_json('/tmp/contrib_data/citation_data.json')
citation_data


    

    
Out[6]:






  

    

      

      
citedByCount
      
id
      
pubYear
    
  
  

    

      
0
      
0
      
26962821
      
2016
    
    

      
1
      
0
      
26576745
      
2016
    
    

      
2
      
0
      
26925656
      
2016
    
    

      
3
      
0
      
26779804
      
2016
    
    

      
4
      
0
      
26871471
      
2016
    
    

      
5
      
0
      
26878196
      
2016
    
    

      
6
      
0
      
26716549
      
2016
    
    

      
7
      
0
      
26952133
      
2016
    
    

      
8
      
0
      
25041134
      
2016
    
    

      
9
      
0
      
26428190
      
2016
    
  

In [ ]: