fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)
fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)
how to fill missing values dataframe with mean
sub2['income'].fillna((sub2['income'].mean()), inplace=True)
replace value column by another if missing pandas
import numpy as np
df['column'] = np.where(df['column'].isnull(), 'value_if_true', 'value_if_false')
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