Python | Pandas Series.prod() (original) (raw)

Last Updated : 10 Oct, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Series.prod() method is used to get the product of the values for the requested axis.

Syntax: Series.prod(axis=None, skipna=None, level=None, numeric_only=None, min_count=0)Parameters: axis : {index (0)}skipna[boolean, default True] : Exclude NA/null values. If an entire row/column is NA, the result will be NAlevel[int or level name, default None] : If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.numeric_only[boolean, default None] : Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric dataReturns: Return the product of the values for the requested axis

Code #1: By default, product of an empty or all-NA Series is 1.

Python3 1== `

importing pandas module

import pandas as pd

min_count = 0 is the default

pd.Series([]).prod()

When passed min_count = 1,

product of an empty series will be NaN

pd.Series([]).prod(min_count = 1)

`

Output:

1.0 nan

Code #2:

Python3 1== `

importing pandas module

import pandas as pd

applying prod() on a list of series

val = pd.Series([12, 5, 7]).prod()

val

`

Output:

420