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Replace nan with mean

How to fill missing values dataframe with mean

sub2['income'].fillna((sub2['income'].mean()), inplace=True)

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Replace nan with mean

df.fillna(df.mean())

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Source: stackoverflow.com

Replace nan

df['salary'] = df['salary'].fillna(df['salary'].mode()[0])

0

Source: vitalflux.com

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