Created
February 16, 2020 14:15
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powerplay_bowling_df = powerplay_df[powerplay_df['bowling_team']=='ind'] | |
middle_bowling_df = middle_df[middle_df['bowling_team']=='ind'] | |
last_bowling_df = last_df[last_df['bowling_team']=='ind'] | |
temp = powerplay_bowling_df.groupby('match').apply(lambda x:x['runs'].sum()).reset_index() | |
avg1=np.median(temp[0].values) | |
er1 = avg1/6.0 | |
temp = middle_bowling_df.groupby('match').apply(lambda x:x['runs'].sum()).reset_index() | |
avg2=np.median(temp[0].values) | |
er2 = avg2/9.0 | |
temp = last_bowling_df.groupby('match').apply(lambda x:x['runs'].sum()).reset_index() | |
avg3=np.median(temp[0].values) | |
er3 = avg3/5.0 | |
data = {"Economy rate":[er1,er2,er3] }; | |
index = ["Powerplay", "Middle", "Last 5 overs"]; | |
# Dictionary loaded into a DataFrame | |
dataFrame = pd.DataFrame(data=data, index=index); | |
# Draw a vertical bar chart | |
fig = dataFrame.plot.bar(rot=0, title="Team India bowling performance").get_figure() |
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