text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
import seaborn as sns
Deliveries_Data = pd.read_csv('../input/deliveries_expanded.csv')
Matches_Data = pd.read_csv('../input/matches_expanded.csv')

Overall_Matches_State = pd.Series.to_frame(Matches_Data['State'].value_counts())
Overall_Matches_State['%Contribution'] = Overall_Matches_State['State'] / Overall_Matches_State['State'].sum() * 100
Overall_Matches_State['%Contribution'].plot(kind='bar', figsize=(15, 5), color='darkorange', edgecolor='black', hatch='X')