describe(a, axis=0, ddof=1, bias=True, nan_policy='propagate')

Parameters

a : array_like

axis : int or None, optional

ddof : int, optional

bias : bool, optional

nan_policy : {'propagate', 'raise', 'omit'}, optional

Returns

nobs : int or ndarray of ints

minmax: tuple of ndarrays or floats

mean : ndarray or float

variance : ndarray or float

skewness : ndarray or float

kurtosis : ndarray or float

See Also

kurtosis

skew

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

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GitHub : /scipy/stats/_stats_py.py#1443
type: <class 'function'>
Commit: