matplotlib 3.5.1

Parameters
_auto_adjust_subplotpars(fig, renderer, shape, span_pairs, subplot_list, ax_bbox_list=None, pad=1.08, h_pad=None, w_pad=None, rect=None)

Note that this function ignores geometry information of subplot itself, but uses what is given by the shape and subplot_list parameters. Also, the results could be incorrect if some subplots have adjustable=datalim .

Parameters

shape : tuple[int, int]

Number of rows and columns of the grid.

span_pairs : list[tuple[slice, slice]]

List of rowspans and colspans occupied by each subplot.

subplot_list : list of subplots

List of subplots that will be used to calculate optimal subplot_params.

pad : float

Padding between the figure edge and the edges of subplots, as a fraction of the font size.

h_pad, w_pad : float

Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. Defaults to pad.

rect : tuple[float, float, float, float]

[left, bottom, right, top] in normalized (0, 1) figure coordinates.

Return a dict of subplot parameters to adjust spacing between subplots or None if resulting axes would have zero height or width.

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/tight_layout.py#19
type: <class 'function'>
Commit: