pandas 1.4.2

ParametersReturns
skew(self, axis: 'int | None | lib.NoDefault' = <no_default>, skipna=True, level=None, numeric_only=None, **kwargs)

Normalized by N-1.

Parameters

axis : {index (0)}

Axis for the function to be applied on.

skipna : bool, default True

Exclude NA/null values when computing the result.

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 : bool, default None

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

**kwargs :

Additional keyword arguments to be passed to the function.

Returns

scalar or Series (if level specified)

Return unbiased skew over requested axis.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/generic.py#11121
type: <class 'function'>
Commit: