Learn practical skills, build real-world projects, and advance your career

Rainfall in India

This dataset contain rainfall data from 1901 to 2015.

Import the dataset as pandas dataframe

import pandas as pd
data_df = pd.read_csv("rainfall in india 1901-2015.csv")
data_df
data_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 4116 entries, 0 to 4115 Data columns (total 19 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 SUBDIVISION 4116 non-null object 1 YEAR 4116 non-null int64 2 JAN 4112 non-null float64 3 FEB 4113 non-null float64 4 MAR 4110 non-null float64 5 APR 4112 non-null float64 6 MAY 4113 non-null float64 7 JUN 4111 non-null float64 8 JUL 4109 non-null float64 9 AUG 4112 non-null float64 10 SEP 4110 non-null float64 11 OCT 4109 non-null float64 12 NOV 4105 non-null float64 13 DEC 4106 non-null float64 14 ANNUAL 4090 non-null float64 15 Jan-Feb 4110 non-null float64 16 Mar-May 4107 non-null float64 17 Jun-Sep 4106 non-null float64 18 Oct-Dec 4103 non-null float64 dtypes: float64(17), int64(1), object(1) memory usage: 611.1+ KB