matplotlib 3.5.1

Parameters
__init__(self, ax, x=None, y=None, A=None, cmap=None, norm=None, **kwargs)

Parameters

ax : `~.axes.Axes`

The axes the image will belong to.

x, y : 1D array-like, optional

Monotonic arrays of length N+1 and M+1, respectively, specifying rectangle boundaries. If not given, will default to range(N + 1) and range(M + 1) , respectively.

A : array-like

The data to be color-coded. The interpretation depends on the shape:

  • (M, N) ndarray or masked array: values to be colormapped

  • (M, N, 3): RGB array

  • (M, N, 4): RGBA array

cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`

The Colormap instance or registered colormap name used to map scalar data to colors.

norm : `~matplotlib.colors.Normalize`

Maps luminance to 0-1.

**kwargs : `.Artist` properties

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/image.py#1196
type: <class 'function'>
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