pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)
pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)
fillna with mean pandas
sub2['income'].fillna((sub2['income'].mean()), inplace=True)
python fillna with mean in a dataframe
df["newColumName"] = df["originalColumnName"].fillna(df["originalColumnName"].mean())
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