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how to fill missing values dataframe with mean

By Inquisitive IbexInquisitive Ibex on Jul 22, 2020
sub2['income'].fillna((sub2['income'].mean()), inplace=True)

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how to filing the missing data by mean of row in dataframe in pandas

By Evil EelEvil Eel on Sep 15, 2020
df.T.fillna(df.mean(axis=1)).T

Source: stackoverflow.com

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filling the missing data in pandas

By JAKKA9JAKKA9 on May 11, 2020
note:to fill a specific value

varable = 1
def fill_mod_acc(most_related_coloum_name,missing_data_coloum):
    if np.isnan(missing_data_coloum):
        return varable[most_related_coloum_name]
    else:
        return missing_data_coloum

df['missing_data_coloum'] = df.apply(lambda x:fill_mod_acc(x['most_related_coloum_name'],x['missing_data_coloum']),axis=1)


Note:to fill mean from existing closley related coloum

varable = df.groupby('most_related_coloum_name').mean()['missing_data_coloum']

def fill_mod_acc(most_related_coloum_name,missing_data_coloum):
    if np.isnan(missing_data_coloum):
        return varable[most_related_coloum_name]
    else:
        return missing_data_coloum

df['missing_data_coloum'] = df.apply(lambda x:fill_mod_acc(x['most_related_coloum_name'],x['missing_data_coloum']),axis=1)

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