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Created 3 years ago
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# 9
ipl = pd.read_csv('https://raw.githubusercontent.com/ingledarshan/upGrad_Darshan/main/ipl_matches.csv')
ipl.head()
ipl.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 756 entries, 0 to 755
Data columns (total 18 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 id 756 non-null int64
1 season 756 non-null int64
2 city 749 non-null object
3 date 756 non-null object
4 team1 756 non-null object
5 team2 756 non-null object
6 toss_winner 756 non-null object
7 toss_decision 756 non-null object
8 result 756 non-null object
9 dl_applied 756 non-null int64
10 winner 752 non-null object
11 win_by_runs 756 non-null int64
12 win_by_wickets 756 non-null int64
13 player_of_match 752 non-null object
14 venue 756 non-null object
15 umpire1 754 non-null object
16 umpire2 754 non-null object
17 umpire3 119 non-null object
dtypes: int64(5), object(13)
memory usage: 106.4+ KB