matplotlib 3.5.1

set(self, *, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, data_interval=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, inverted=<UNSET>, label=<UNSET>, label_coords=<UNSET>, label_position=<UNSET>, label_text=<UNSET>, major_formatter=<UNSET>, major_locator=<UNSET>, minor_formatter=<UNSET>, minor_locator=<UNSET>, offset_position=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, pickradius=<UNSET>, rasterized=<UNSET>, remove_overlapping_locs=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, tick_params=<UNSET>, ticklabels=<UNSET>, ticks=<UNSET>, ticks_position=<UNSET>, transform=<UNSET>, units=<UNSET>, url=<UNSET>, view_interval=<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: scalar or None animated: bool clip_box: .Bbox clip_on: bool clip_path: Patch or (Path, Transform) or None data_interval: unknown figure: .Figure gid: str in_layout: bool inverted: unknown label: object label_coords: unknown label_position: {'left', 'right'} label_text: str major_formatter: ~matplotlib.ticker.Formatter , str , or function major_locator: ~matplotlib.ticker.Locator minor_formatter: ~matplotlib.ticker.Formatter , str , or function minor_locator: ~matplotlib.ticker.Locator offset_position: {'left', 'right'} path_effects: .AbstractPathEffect picker: None or bool or float or callable pickradius: float rasterized: bool remove_overlapping_locs: unknown sketch_params: (scale: float, length: float, randomness: float) snap: bool or None tick_params: unknown ticklabels: sequence of str or of :None:None:`.Text`\s ticks: list of floats ticks_position: {'left', 'right', 'both', 'default', 'none'} transform: .Transform units: units tag url: str view_interval: unknown 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: