matplotlib 3.5.1

set(self, *, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, array=<UNSET>, clim=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, cmap=<UNSET>, data=<UNSET>, filternorm=<UNSET>, filterrad=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, interpolation=<UNSET>, interpolation_stage=<UNSET>, label=<UNSET>, norm=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, resample=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)

Supported properties are

Properties:

agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha: float or 2D array-like or None animated: bool array: array-like clim: (vmin: float, vmax: float) clip_box: .Bbox clip_on: bool clip_path: Patch or (Path, Transform) or None cmap: .Colormap or str or None data: array-like or PIL.Image.Image figure: .Figure filternorm: bool filterrad: positive float gid: str in_layout: bool interpolation: {'antialiased', 'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos', 'none'} or None interpolation_stage: {'data', 'rgba'} or None label: object norm: .Normalize or None path_effects: .AbstractPathEffect picker: None or bool or float or callable rasterized: bool resample: bool or None sketch_params: (scale: float, length: float, randomness: float) snap: bool or None transform: .Transform url: str visible: bool zorder: float

Set multiple properties at once.

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/artist.py#116
type: <class 'function'>
Commit: