Python | Pandas Series.prod()
Last Updated :
10 Oct, 2018
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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
Python3 1==
Output:
Python3 1==
Output:
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 NA level[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 data Returns: Return the product of the values for the requested axisCode #1: By default, product of an empty or all-NA Series is 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)
1.0 nanCode #2:
# importing pandas module
import pandas as pd
# applying prod() on a list of series
val = pd.Series([12, 5, 7]).prod()
val
420
