Ipl Exploratory Data Analysis - Notebook by Abhishek Gupta (elysian01)

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Updated 3 years ago

Exploratory Data Analysis : Sports (Indian Premier League)

import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns

sns.set_style("darkgrid")
pd.set_option("display.max_columns", None)
matplotlib.rcParams.update({'font.size': 14})

%matplotlib inline
%config Completer.use_jedi = False

matches_df = pd.read_csv("./datasets/ipl/matches.csv")
deliveries_df = pd.read_csv("./datasets/ipl/deliveries.csv")
matches_df.head()

deliveries_df.head(5)

print('Matches Data Dimensions: ', matches_df.shape,"\n")
print(matches_df.columns)
print('\n\nDeliveries Data Dimensions: ', deliveries_df.shape,"\n")
print(deliveries_df.columns)

Matches Data Dimensions:  (756, 18) 

Index(['id', 'season', 'city', 'date', 'team1', 'team2', 'toss_winner',
       'toss_decision', 'result', 'dl_applied', 'winner', 'win_by_runs',
       'win_by_wickets', 'player_of_match', 'venue', 'umpire1', 'umpire2',
       'umpire3'],
      dtype='object')


Deliveries Data Dimensions:  (179078, 21) 

Index(['match_id', 'inning', 'batting_team', 'bowling_team', 'over', 'ball',
       'batsman', 'non_striker', 'bowler', 'is_super_over', 'wide_runs',
       'bye_runs', 'legbye_runs', 'noball_runs', 'penalty_runs',
       'batsman_runs', 'extra_runs', 'total_runs', 'player_dismissed',
       'dismissal_kind', 'fielder'],
      dtype='object')