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)
replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)
how to replace nan with 0 in pandas
df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
df
how to fill missing values dataframe with mean
sub2['income'].fillna((sub2['income'].mean()), inplace=True)
python fillna with mean in a dataframe
df["newColumName"] = df["originalColumnName"].fillna(df["originalColumnName"].mean())
replace nan
df['salary'] = df['salary'].fillna(df['salary'].mode()[0])
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