pandas.Series.var¶

Series.var(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)[source]¶

Return unbiased variance over requested axis.

Normalized by N-1 by default. This can be changed using the ddof argument

Parameters

axis{index (0)}
skipnabool, default True: Exclude NA/null values. If an entire row/column is NA, the result will be NA.
levelint or level name, default None: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.
ddofint, default 1: Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
numeric_onlybool, default None: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

Returns