Answers for "fillna in python with mean"

how to fill missing values dataframe with mean

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 mean in a dataframe

df["newColumName"] = df["originalColumnName"].fillna(df["originalColumnName"].mean())