fillna with mean pandas
sub2['income'].fillna((sub2['income'].mean()), inplace=True)fillna with mean pandas
sub2['income'].fillna((sub2['income'].mean()), inplace=True)fill na with mode and mean python
cateogry_columns=df.select_dtypes(include=['object']).columns.tolist()
integer_columns=df.select_dtypes(include=['int64','float64']).columns.tolist()
for column in df:
if df[column].isnull().any():
if(column in cateogry_columns):
df[column]=df[column].fillna(df[column].mode()[0])
else:
df[column]=df[column].fillna(df[column].mean)python fillna with mode
data['Native Country'] = data['Native Country'].fillna(data['Native Country'].mode()[0])pandas fillna with mode
data['Native Country'].fillna(data['Native Country'].mode()[0], inplace=True)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
