binned_statistic(x, values, statistic='mean', bins=10, range=None)

Notes

Parameters

x : (N,) array_like

values : (N,) array_like or list of (N,) array_like

statistic : string or callable, optional

bins : int or sequence of scalars, optional

range : (float, float) or [(float, float)], optional

Returns

statistic : array

bin_edges : array of dtype float

binnumber: 1-D ndarray of ints

See Also

binned_statistic_2d

binned_statistic_dd

numpy.digitize

numpy.histogram

Examples

See :

Local connectivity graph

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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/_binned_statistic.py#16
type: <class 'function'>
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