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visualization_matplotlib_project:q01_plot_deliveries_by_team - PR by SiddharthPant #21

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visualization_matplotlib_project:q01_plot_deliveries_by_team - PR by SiddharthPant #21

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SiddharthPant Oct 19, 2017
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SiddharthPant Oct 19, 2017
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SiddharthPant Oct 27, 2017
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SiddharthPant Oct 27, 2017
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SiddharthPant committed Oct 27, 2017
commit b55e1fe3cc2effe1044603cd5fe9ddeac426e583
11 changes: 10 additions & 1 deletion q03_plot_innings_runs_histogram/build.py
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Expand Up @@ -5,4 +5,13 @@
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)


# Solution
# Solution
def plot_innings_runs_histogram():
match_inning_runs = ipl_df.groupby(by=['match_code', 'inning']).sum()[['runs']]
inning1_df = match_inning_runs.loc[match_inning_runs.index.get_level_values(1) == 1]
inning2_df = match_inning_runs.loc[match_inning_runs.index.get_level_values(1) == 2]
inning1_runs, inning2_runs = inning1_df['runs'], inning2_df['runs']
fig, axes = plt.subplots(nrows=1, ncols=2)
axes[0].hist(inning1_runs, bins=30)
axes[1].hist(inning2_runs, bins=30)
plt.show()