pandas.DataFrame.mul

DataFrame.mul(other, axis='columns', level=None, fill_value=None) [source]

Multiplication of dataframe and other, element-wise (binary operator mul).

Equivalent to dataframe * other, but with support to substitute a fill_value for missing data in one of the inputs.

Parameters:

other : Series, DataFrame, or constant

axis : {0, 1, ‘index’, ‘columns’}

For Series input, axis to match Series index on

fill_value : None or float value, default None

Fill missing (NaN) values with this value. If both DataFrame locations are missing, the result will be missing

level : int or name

Broadcast across a level, matching Index values on the passed MultiIndex level

Returns:

result : DataFrame

See also

DataFrame.rmul

Notes

Mismatched indices will be unioned together

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.20.3/generated/pandas.DataFrame.mul.html