Pandas fillna with mode

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])

Source: stackoverflow.com

Dataframe fillna with 0

df['column'] = df['column'].fillna(0)

Pandas fillna with mode

data['Native Country'].fillna(data['Native Country'].mode()[0], inplace=True)

Source: stackoverflow.com

Similar codes

0 vote112 views1 answer
Heroku[web.1]: Process exited with status 3
Python
0 vote105 views1 answer
Cptac dataset
Python
0 vote102 views1 answer
Redis in django channels
Python
0 vote103 views2 answers
Sns histplot change legend labels
Python
0 vote122 views1 answer
Open tkinter and cli
Python
0 vote107 views1 answer
Pytest runtimeerror: no application found. either work inside a view function or push an application context
Python
0 vote54 views1 answer
Dict write python csv file
Python
0 vote97 views1 answer
Python input byte array
Python
0 vote104 views1 answer
Shutil copy file python
Python
0 vote112 views2 answers
Python split word into letter pairs
Python