matplotlib 3.5.1

Parameters
blocking_input_loop(figure, event_names, timeout, handler)

The events listed in event_names are passed to handler.

This function is used to implement .Figure.waitforbuttonpress , .Figure.ginput , and .Axes.clabel .

Parameters

figure : `~matplotlib.figure.Figure`
event_names : list of str

The names of the events passed to handler.

timeout : float

If positive, the event loop is stopped after timeout seconds.

handler : Callable[[Event], Any]

Function called for each event; it can force an early exit of the event loop by calling canvas.stop_event_loop() .

Run figure's event loop while listening to interactive events.

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/_blocking_input.py#1
type: <class 'function'>
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