%matplotlib inline

import pandas as pd

import urllib2, json, datetime
contr = json.load(urllib2.urlopen('https://api.github.com/repos/in202-uvsq/git-manual/stats/contributors'))

data = [{ 'semaine' : datetime.datetime.fromtimestamp(w['w']).date(),
          'utilisateur' : c['author']['login'],
          'ajouts' : w['a'],
          'effacements' : w['d'],
          'commits' : w['c'] }
        for c in contr for w in c['weeks']]

d = pd.DataFrame(data)

# Exemple: choisir une colonne pour abscisse

e = pd.DataFrame({ 'espèce': [ 'chien', 'loup', 'chat' ],
                   'age' : [15, 10, 20] })
e.plot()

e.plot('espèce')

pulls = json.load(urllib2.urlopen('https://api.github.com/repos/in202-uvsq/git-manual/pulls?state=all'))

import dateutil.parser as parser

data = [{ 'numero' : p['number'],
          'titre' : p['title'],
          'utilisateur' : p['user']['login'],
          'creation' : parser.parse(p['created_at']),
          'fermeture' : parser.parse(p['closed_at']) }
        for p in pulls]

d.groupby('utilisateur').sum().reset_index()

commits = json.load(urllib2.urlopen('https://api.github.com/repos/in202-uvsq/git-manual/commits'))