matplotlib 3.5.1

Returns
_get_compressed_triangulation(self)

Returns minimal-length triangles array (compressed_triangles) and coordinates arrays (compressed_x, compressed_y) that can still describe the unmasked triangles of the encapsulated triangulation.

Returns

compressed_triangles : array-like

the returned compressed triangulation triangles

compressed_x : array-like

the returned compressed triangulation 1st coordinate

compressed_y : array-like

the returned compressed triangulation 2nd coordinate

tri_renum : int array

renumbering table to translate the triangle numbers from the encapsulated triangulation into the new (compressed) renumbering. -1 for masked triangles (deleted from compressed_triangles).

node_renum : int array

renumbering table to translate the point numbers from the encapsulated triangulation into the new (compressed) renumbering. -1 for unused points (i.e. those deleted from compressed_x and compressed_y).

Compress (if masked) the encapsulated triangulation.

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


File: /matplotlib/tri/tritools.py#192
type: <class 'function'>
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