fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)how to fillna in all columns with their mean values
# if you want to fill NaN in a single column with its mean value
df['col'].fillna(df['col'].mean(), inplace=True)
# if you want to fill NaN in more than one columns with their respective mean values
df.fillna(df.mean(), inplace=True)how to fill missing values dataframe with mean
sub2['income'].fillna((sub2['income'].mean()), inplace=True)how to fill nan values with mean in pandas
df.fillna(df.mean())python pandas fillna
# importing pandas module
import pandas as pd
# making data frame from csv file
nba = pd.read_csv("nba.csv")
# replacing na values in college with No college
nba["College"].fillna("No College", inplace = True)
# OR
nba.College.fillna("No College", inplace = True)
print(nba)Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
