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>, 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: {'top', 'bottom'} 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
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: {'top', 'bottom', 'both', 'default', 'none'} transform: .Transform
units: units tag url: str view_interval: unknown visible: bool zorder: float
Set multiple properties at once.
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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