cc_12.py

#Strike rate 
score = powerplay_batting_df.groupby(['year','match']).apply(lambda x:x['runs'].sum()).reset_index(name='score') 
pp=powerplay_batting_df.groupby("year").apply(lambda x:(x['runs'].sum()/x.shape[0])*100).reset_index(name='strike rate')
middle=middle_batting_df.groupby("year").apply(lambda x:(x['runs'].sum()/x.shape[0])*100).reset_index(name='strike rate') 
last=last_batting_df.groupby("year").apply(lambda x:(x['runs'].sum()/x.shape[0])*100).reset_index(name='strike rate')

data = {"Powerplay":pp['strike rate'].values,
        "Middle overs":middle['strike rate'].values,
        "Last 5 overs":last['strike rate'].values
        };

index  = last['year'].values
# Dictionary loaded into a DataFrame       
dataFrame = pd.DataFrame(data=data, index=index);

# Draw a vertical bar chart
axes = dataFrame.plot.bar(rot=0, title="Team India batting strike rate")
#axes[1].legend(loc=2)  

fig=axes.get_figure()