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ParametersReturns
median_cihs(data, alpha=0.05, axis=None)

Uses the Hettmasperger-Sheather method.

Parameters

data : array_like

Input data. Masked values are discarded. The input should be 1D only, or axis should be set to None.

alpha : float, optional

Confidence level of the intervals.

axis : int or None, optional

Axis along which to compute the quantiles. If None, use a flattened array.

Returns

median_cihs

Alpha level confidence interval.

Computes the alpha-level confidence interval for the median of the data.

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#322
type: <class 'function'>
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