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Enter search terms or a module, class or function name., skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)[source]

Return the product of the values for the requested axis.

axis : {index (0), columns (1)}
skipna : boolean, default True

Exclude NA/null values when computing the result.

level : int or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series

numeric_only : boolean, default None

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

min_count : int, default 0

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.

New in version 0.22.0: Added with the default being 0. This means the sum of an all-NA or empty Series is 0, and the product of an all-NA or empty Series is 1.

prod : Series or DataFrame (if level specified)
By default, the product of an empty or all-NA Series is ``1``
>>> pd.Series([]).prod()
This can be controlled with the ``min_count`` parameter
>>> pd.Series([]).prod(min_count=1)
Thanks to the ``skipna`` parameter, ``min_count`` handles all-NA and
empty series identically.
>>> pd.Series([np.nan]).prod()
>>> pd.Series([np.nan]).prod(min_count=1)
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