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

Yet another solution based on Assigning New Columns in Method Chains:

st.assign(a = st['path'] + 2*st['row'], b = st['path'] * 0.153)

Be aware assign always returns a copy of the data, leaving the original DataFrame untouched.