pandas.Series.var

Series.var(axis=None, skipna=None, level=None, ddof=1, **kwargs)

Return unbiased variance over requested axis Normalized by N-1

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 :

variance : scalar or Series (if level specified)