Return the product of the values over the requested axis.
Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.
Warning
The behavior of DataFrame.prod with axis=None
is deprecated, in a future version this will reduce over both axes and return a scalar To retain the old behavior, pass axis=0 (or do not pass axis).
Added in version 2.0.0.
Exclude NA/null values when computing the result.
Include only float, int, boolean columns. Not implemented for Series.
The required number of valid values to perform the operation. If fewer than min_count
non-NA values are present the result will be NA.
Additional keyword arguments to be passed to the function.
Examples
By default, the product of an empty or all-NA Series is 1
>>> pd.Series([], dtype="float64").prod() 1.0
This can be controlled with the min_count
parameter
>>> pd.Series([], dtype="float64").prod(min_count=1) nan
Thanks to the skipna
parameter, min_count
handles all-NA and empty series identically.
>>> pd.Series([np.nan]).prod() 1.0
>>> pd.Series([np.nan]).prod(min_count=1) nan
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