matplotlib 3.5.1

Parameters
_set_view_from_bbox(self, bbox, direction='in', mode=None, twinx=False, twiny=False)
note

Intended to be overridden by new projection types, but if not, the default implementation sets the view limits to the bbox directly.

Parameters

bbox : 4-tuple or 3 tuple
  • If bbox is a 4 tuple, it is the selected bounding box limits, in display coordinates.

  • If bbox is a 3 tuple, it is an (xp, yp, scl) triple, where (xp, yp) is the center of zooming and scl the scale factor to zoom by.

direction : str

The direction to apply the bounding box.

  • :None:None:`'in'` - The bounding box describes the view directly, i.e.,

    it zooms in.

  • :None:None:`'out'` - The bounding box describes the size to make the

    existing view, i.e., it zooms out.

mode : str or None

The selection mode, whether to apply the bounding box in only the :None:None:`'x'` direction, :None:None:`'y'` direction or both (:None:None:`None`).

twinx : bool

Whether this axis is twinned in the x-direction.

twiny : bool

Whether this axis is twinned in the y-direction.

Update view from a selection bbox.

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/axes/_base.py#4346
type: <class 'function'>
Commit: