#df = df.fillna(df.mean()['RIDAGEYR':'BMXBMI']) # impute missing numeric values with mean #df = df.fillna(df.mean()['INDFMPIR':'INDFMPIR']) # impute mean code example

Example 1: fill missing values in column pandas with mean

df.fillna(df.mean(), inplace=True)

Example 2: how to fill missing values dataframe with mean

sub2['income'].fillna((sub2['income'].mean()), inplace=True)