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_median_nancheck(data, result, axis)

Parameters

data : array

Sorted input data to median function

result : Array or MaskedArray

Result of median function.

axis : int

Axis along which the median was computed.

Returns

result : scalar or ndarray

Median or NaN in axes which contained NaN in the input. If the input was an array, NaN will be inserted in-place. If a scalar, either the input itself or a scalar NaN.

Utility function to check median result from data for NaN values at the end and return NaN in that case. Input result can also be a MaskedArray.

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 : /numpy/lib/utils.py#1005
type: <class 'function'>
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