/Python/Replace nan in pandas column with mode and printing it

Replace nan in pandas column with mode and printing it

def exercise4(df):
    df1 = df.select_dtypes(np.number)
    df2 = df.select_dtypes(exclude = 'float')
    mode = df2.mode()
    df3 = df1.fillna(df.mean())
    df4 = df2.fillna(mode.iloc[0,:])
    new_df = [df3,df4]
    df5 = pd.concat(new_df,axis=1)
    new_cols = list(df.columns)
    df6 = df5[new_cols]
    return df6

Source: stackoverflow.com

Similar codes

2 votes181 views1 answer
Check if a number is perfect cube in python
Python
0 vote167 views1 answer
Python datetime subtract seconds
Python
0 vote170 views10 answers
Python open file partially
Python
4 votes176 views3 answers
Unable to locate package python-pip
Python
0 vote206 views1 answer
Matplotlib keyboard event
Python
77 votes183 views6 answers
Random from list python
Python
0 vote191 views1 answer
Add variable to print python
Python
0 vote134 views1 answer
Python get colorscale
Python
1 vote166 views1 answer
String to tuple python
Python
1 vote225 views1 answer
Pandas dataframe remove rows by column value
Python