pandas.DataFrame.var

DataFrame.var(self, 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), columns (1)}
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 Series

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
Series or DataFrame (if level specified)
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