Predictive Hacks

How to Replace Missing Values with Column Means in Pandas

Assuming that the columns of missing values are numeric, then we can replace the missing values with corresponding mean values of the column as follows:

import pandas as pd
import numpy as np
 
df = pd.DataFrame({'id':list(range(10)),
                   'A':[10,9,8,7,np.nan,np.nan,20,15,12,np.nan],
                   'D':[np.nan,20,18,22,18,17,19,np.nan,17,23]})
df
df = df.fillna(df.mean())
df

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