matplotlib 3.5.1

_process_colors(self)

Note that we base the colormapping on the contour levels and layers, not on the actual range of the Z values. This means we don't have to worry about bad values in Z, and we always have the full dynamic range available for the selected levels.

The color is based on the midpoint of the layer, except for extended end layers. By default, the norm vmin and vmax are the extreme values of the non-extended levels. Hence, the layer color extremes are not the extreme values of the colormap itself, but approach those values as the number of levels increases. An advantage of this scheme is that line contours, when added to filled contours, take on colors that are consistent with those of the filled regions; for example, a contour line on the boundary between two regions will have a color intermediate between those of the regions.

Color argument processing for contouring.

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/contour.py#1233
type: <class 'function'>
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