In [2]:

    

import nflgame

weeks = []

for week in range(1, 6):
    game = nflgame.games(2013, week=week)
    weeks.append(nflgame.combine_game_stats(game))


    

In [3]:

    

labels = range(1, 6)
td_counts = []

for week in weeks:
    d = {}
    for p in week.sort('tds'):
        if p.name in ['T.Brady', 'W.Welker']:
            d[p.name] = p.tds
    if d:
        td_counts.append(d)
            
td_counts


    

    
Out[3]:





[{u'T.Brady': 2, u'W.Welker': 2},
 {u'T.Brady': 1, u'W.Welker': 1},
 {u'T.Brady': 2, u'W.Welker': 1},
 {u'T.Brady': 2, u'W.Welker': 2},
 {u'T.Brady': 0, u'W.Welker': 1}]

In [4]:

    

import pandas

df = pandas.DataFrame(td_counts, index=labels)

df


    

    
Out[4]:






  

    

      

      
T.Brady
      
W.Welker
    
  
  

    

      
1
      
 2
      
 2
    
    

      
2
      
 1
      
 1
    
    

      
3
      
 2
      
 1
    
    

      
4
      
 2
      
 2
    
    

      
5
      
 0
      
 1
    
  

In [5]:

    

import vincent
vincent.core.initialize_notebook()

line = vincent.GroupedBar(df)
line.width = 600
line.height = 400
line.axis_titles(x='Week', y='Touchdowns')
line.legend('Player')
line.display()