Loading [MathJax]/jax/input/TeX/config.js
scipy 1.10.1 Pypi GitHub Homepage
Other Docs

Parameters
rsh(data, points=None)

Rosenblatt's estimator is a centered finite-difference approximation to the derivative of the empirical cumulative distribution function.

Parameters

data : sequence

Input data, should be 1-D. Masked values are ignored.

points : sequence or None, optional

Sequence of points where to evaluate Rosenblatt shifted histogram. If None, use the data.

Evaluates Rosenblatt's shifted histogram estimators for each data point.

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#470
type: <class 'function'>
Commit: