Answers for "Replace missing values with the most frequent value in the column."

mode imputation in python

df['country'].fillna(df['country'].mode()[0], inplace = True)

Posted by: Guest on September-01-2020

impute mode pandas

cols = ["workclass", "native-country"]
df[cols]=df[cols].fillna(df.mode().iloc[0])

Posted by: Guest on December-01-2020

Code answers related to "Replace missing values with the most frequent value in the column."