bigframes.pandas.DataFrame.divide#

DataFrame.divide(other:float|int|Series|DataFrame,axis:str|int='columns')→DataFrame#

Get floating division of DataFrame and other, element-wise (binary operator/).

Equivalent todataframe/other. With reverse version,rtruediv.

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'].truediv(df['B'])0    0.251     0.42     0.5dtype: Float64

You can also use arithmetic operator/:

>>>df['A']/(df['B'])0    0.251     0.42     0.5dtype: Float64

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