Loading [MathJax]/jax/output/HTML-CSS/config.js
scipy 1.10.1 Pypi GitHub Homepage
Other Docs

NotesParametersReturns
skew(a, axis=0, bias=True)

Notes

For more details about skew, see scipy.stats.skew.

Parameters

a : ndarray

data

axis : int or None, optional

Axis along which skewness is calculated. Default is 0. If None, compute over the whole array a.

bias : bool, optional

If False, then the calculations are corrected for statistical bias.

Returns

skewness : ndarray

The skewness of values along an axis, returning 0 where all values are equal.

Computes the skewness of a data set.

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.

scipy.stats._stats_py:skew_stats_py:skew

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


GitHub : /scipy/stats/_mstats_basic.py#2696
type: <class 'function'>
Commit: