set_picker(self, picker)
This can be one of the following:
None: Picking is disabled for this artist (default).
A boolean: If True then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist.
A float: If picker is a number it is interpreted as an epsilon tolerance in points and the artist will fire off an event if its data is within epsilon of the mouse event. For some artists like lines and patch collections, the artist may provide additional data to the pick event that is generated, e.g., the indices of the data within epsilon of the pick event
A function: If picker is callable, it is a user supplied function which determines whether the artist is hit by the mouse event:
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the artist, return hit=True and props is a dictionary of properties you want added to the PickEvent attributes.
Define the picking behavior of the artist.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.artist.Artist.pickable
matplotlib.artist.Artist.pick
matplotlib.backend_bases.FigureCanvasBase.pick_event
matplotlib.backend_bases.PickEvent
matplotlib.artist.Artist.get_picker
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