Loading [MathJax]/extensions/tex2jax.js
scipy 1.10.1 Pypi GitHub Homepage
Other Docs

ParametersReturns
idealfourths(data, axis=None)

Uses the ideal fourths algorithm.

Parameters

data : array_like

Input array.

axis : int, optional

Axis along which the quartiles are estimated. If None, the arrays are flattened.

Returns

idealfourths : {list of floats, masked array}

Returns the two internal values that divide data into four parts using the ideal fourths algorithm either along the flattened array (if axis is None) or along axis of data.

Returns an estimate of the lower and upper quartiles.

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


GitHub : /scipy/stats/_mstats_extras.py#430
type: <class 'function'>
Commit: