Apply function to each row of pandas dataframe to create two new columns

Question

I have a pandas DataFrame, st containing multiple columns:

DatetimeIndex: 53732 entries, 1993-01-0         


        

Answer 1

This was solved here: Apply pandas function to column to create multiple new columns?

Applied to your question this should work:

def calculate(s):
    a = s['path'] + 2*s['row'] # Simple calc for example
    b = s['path'] * 0.153
    return pd.Series({'col1': a, 'col2': b})

df = df.merge(df.apply(calculate, axis=1), left_index=True, right_index=True)