bigframes.pandas.DataFrame.rmul#

DataFrame.rmul(other: float | int | Series | DataFrame, axis: str | int = 'columns') → DataFrame[source]#

Get multiplication of DataFrame and other, element-wise (binary operator *).

Equivalent to other * dataframe. With reverse version, mul.

Among flexible wrappers (add, sub, mul, div, mod, pow) to arithmetic operators: +, -, *, /, //, %, **.

Note

Mismatched indices will be unioned together.

Examples:

>>> df = bpd.DataFrame({
...     'A': [1, 2, 3],
...     'B': [4, 5, 6],
...     })

You can use method name:

>>> df['A'].rmul(df['B'])
0     4
1    10
2    18
dtype: Int64

You can also use arithmetic operator *:

>>> df['A'] * (df['B'])
0     4
1    10
2    18
dtype: Int64

Parameters:

• other (float, int, or Series) Any single or multiple element data structure, or list-like object.

• axis ({0 or 'index', 1 or 'columns'}) Whether to compare by the index (0 or index) or columns. (1 or columns). For Series input, axis to match Series index on.

Returns:

DataFrame result of the arithmetic operation.

Return type:

bigframes.pandas.DataFrame