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

fill missing values in column pandas with mean

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

Posted by: Guest on May-20-2020

how to fill missing values dataframe with mean

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

Posted by: Guest on July-22-2020

Code answers related to "#df = df.fillna(df.mean()['RIDAGEYR':'BMXBMI']) # impute missing numeric values with mean #df = df.fillna(df.mean()['INDFMPIR':'INDFMPIR']) # impute mean"