One solution is to use pd.concat in combination with result_type='expand'.

cols = {0: 'r1', 1: 'r2', 2: 'r3'}
df = pd.concat([df, df.apply(my_function, axis=1, result_type='expand')], axis=1).rename(columns=cols)

You have to rename the columns afterwards. Also, the resulting empty dataframe repeats the first two columns:


    foo bar foo bar


    foo bar

Both dataframes are empty, so it may be of no interest for you.

I think to check for empty dataframes in pandas is good practice. So, Siddhants solution in the comment is just fine.

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