Series.product()
Pandas Series.product()
returns the product of the underlying data in a given Series object .
Syntax: Series.product (axis = None, skipna = None, level = None, numeric_only = None, min_count = 0, ** kwargs)
Parameter:
axis: Axis for the function to be applied on.
skipna: Exclude NA / null values when computing the result.
level: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.
numeric_only: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.
min_count: The required number of valid values to perform the operation.
** kwargs: Additional keyword arguments to be passed to the function.Returns: prod: scalar or Series (if level specified)
Example # 1: Use Series.product ()
to find the underlying data product in a given Series object.

Output:
We will now use Series.product ()
to find the product of the elements in a given series object.
Output:
As we can see in the output, Series.product ()
successfully returned the product of the underlying data in the given series object.
Example # 2: Use Series.product ()
to find the underlying data product in a given Series object. This series object contains some missing values.


Output:
We will now use Series.product ()
to find the artwork elements in this series object. We’re going to skip missing values.

Output:
As we can see in the output, Series.product ()
has successfully returned the product of the underlying data in the given object series.