python - Map function across multi-column DataFrame -

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given dataframe following

in [1]: import pandas pd  in [2]: df = pd.dataframe({'x': [1, 2, 3, 4], 'y': [4, 3, 2, 1]})

i map row-wise function across columns

in [3]: df.map(lambda (x, y): x + y)

and following

0    5 1    5 2    5 3    5 name: none, dtype: int64

is possible?

you can apply function row-wise setting axis=1

df.apply(lambda row: row.x + row.y, axis=1)  out[145]:  0    5 1    5 2    5 3    5 dtype: int64

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