bigframes.pandas.DataFrame.mul#

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

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

Equivalent todataframe*other. With reverse version,rmul.

Among flexible wrappers (add,sub,mul,div,mod,pow) toarithmetic 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'].mul(df['B'])0     41    102    18dtype: Int64

You can also use arithmetic operator*:

>>>df['A']*(df['B'])0     41    102    18dtype: Int64

Parameters:

• other (float,int, orSeries) – 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