In [2]:

    

%matplotlib inline


    

In [3]:

    

import pandas as pd
import matplotlib as mp
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches


    

In [11]:

    

player_years = pd.read_csv('qb_yearly.csv')
player_per_year = player_years.groupby(['CareerYear']).count() 
yearly_rates = player_years[['CareerYear', 'Rate']] 
avg_yearly_rate = yearly_rates.groupby(['CareerYear']).mean()
#red_patch = mpatches.Patch(color='r', label='# Players per Year')
#blue_patch = mpatches.Patch(color='b', label='Avg QB Rating by Year')

plt.bar(player_per_year, np.max(player_per_year), color='r') 
plt.plot(avg_yearly_rate, color='b') 

#plt.legend(handles=[red_patch, blue_patch], loc='lower left') 
plt.show()


    

    




---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-11-7cd4d412afd8> in <module>()
      6 #blue_patch = mpatches.Patch(color='b', label='Avg QB Rating by Year')
      7 
----> 8 plt.bar(player_per_year, np.max(player_per_year), color='r')
      9 plt.plot(avg_yearly_rate, color='b')
     10 

/Users/jph/anaconda/lib/python3.5/site-packages/matplotlib/pyplot.py in bar(left, height, width, bottom, hold, data, **kwargs)
   2641     try:
   2642         ret = ax.bar(left, height, width=width, bottom=bottom, data=data,
-> 2643                      **kwargs)
   2644     finally:
   2645         ax.hold(washold)

/Users/jph/anaconda/lib/python3.5/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
   1810                     warnings.warn(msg % (label_namer, func.__name__),
   1811                                   RuntimeWarning, stacklevel=2)
-> 1812             return func(ax, *args, **kwargs)
   1813         pre_doc = inner.__doc__
   1814         if pre_doc is None:

/Users/jph/anaconda/lib/python3.5/site-packages/matplotlib/axes/_axes.py in bar(self, left, height, width, bottom, **kwargs)
   2078         if len(height) != nbars:
   2079             raise ValueError("incompatible sizes: argument 'height' "
-> 2080                               "must be length %d or scalar" % nbars)
   2081         if len(width) != nbars:
   2082             raise ValueError("incompatible sizes: argument 'width' "

ValueError: incompatible sizes: argument 'height' must be length 18 or scalar





    

In [44]:

    

rb = pd.read_csv('rb_yearly.csv')
rb['YPG'] = rb['YPG'].apply(pd.to_numeric, errors='coerce')


    

In [64]:

    

player_years = pd.read_csv('rb_yearly.csv')
player_years['YPG'] = player_years['YPG'].apply(pd.to_numeric, errors='coerce')
player_per_year = player_years.groupby(['CareerYear']).count()
print(len(player_per_year))
rates_per_min100_carry = player_years[player_years['Att'] >= 100]
yearly100_rates = rates_per_min100_carry[['CareerYear', 'YPG']]
avg_yearly100_rate = yearly100_rates.groupby(['CareerYear']).mean()

rates_per_min200_carry = player_years[player_years['Att'] >= 200]
yearly200_rates = rates_per_min200_carry[['CareerYear', 'YPG']]
avg_yearly200_rate = yearly200_rates.groupby(['CareerYear']).mean()

rates_per_min300_carry = player_years[player_years['Att'] >= 300]
yearly300_rates = rates_per_min300_carry[['CareerYear', 'YPG']]
avg_yearly300_rate = yearly300_rates.groupby(['CareerYear']).mean()

red_patch = mpatches.Patch(color='r', label='# Players per Year')
blue_patch = mpatches.Patch(color='b', label='YPG by Year for 100+')
green_patch = mpatches.Patch(color='g', label='YPG by Year for 200+')
cyan_patch = mpatches.Patch(color='c', label='YPG by Year for 300+')



plt.plot(player_per_year, color='r') 
plt.plot(avg_yearly100_rate, color='b') 
plt.plot(avg_yearly200_rate, color='g') 
plt.plot(avg_yearly300_rate, color='c') 



plt.legend(handles=[red_patch, blue_patch, green_patch, cyan_patch], loc='upper right') 
plt.show()


    

    




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