update_from_data_y(self, y, ignore=None)

Parameters

y : ndarray

Array of y-values.

ignore : bool, optional

• When True , ignore the existing bounds of the Bbox .

• When False , include the existing bounds of the Bbox .

• When None , use the last value passed to ignore .

Update the y-bounds of the Bbox based on the passed in data. After updating, the bounds will have positive height, and y0 will be the minimal value.

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

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File: /matplotlib/transforms.py#925
type: <class 'function'>
Commit: