how to inpute missing values based on the average value of a given row in python

main.py
import pandas as pd
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main.py
df = pd.DataFrame({'A': [1, 2, None, 4, None],
                   'B': [None, 6, 7, None, 9],
                   'C': [10, None, 12, 13, None]})
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main.py
df['mean_row'] = df.mean(axis=1)
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main.py
for index, row in df.iterrows():
    for col in df.columns:
        if pd.isnull(row[col]):
            df.at[index, col] = row['mean_row']
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main.py
df = df.drop('mean_row', axis=1)
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