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 vote280 views1 answer
Python Entry default text
Python
-1 vote208 views1 answer
Ipywidgets pip
Python
0 vote261 views1 answer
Python code to remove file extension
Python
6 votes251 views1 answer
Cors error in flask
Python Flask
0 vote223 views2 answers
Python string find
Python
2 votes214 views1 answer
AlphaTauri
Python
0 vote224 views1 answer
Numpy second derivative of array
Python
0 vote220 views1 answer
Python program to count all characters in a sentence
Python
0 vote225 views3 answers
Online kivy
Python
0 vote240 views1 answer
Remove rows from a dataframe that are present in another dataframe?
Python