Internally, this module assumes that the margins (left margin, etc.) which are differences between Axes.get_tightbbox
and Axes.bbox
are independent of Axes position. This may fail if Axes.adjustable
is datalim
as well as such cases as when left or right margin are affected by xlabel.
Routines to adjust subplot params so that subplots are nicely fit in the figure. In doing so, only axis labels, tick labels, axes titles and offsetboxes that are anchored to axes are currently considered.
Routines to adjust subplot params so that subplots are nicely fit in the figure. In doing so, only axis labels, tick labels, axes titles and offsetboxes that are anchored to axes are currently considered.
Internally, this module assumes that the margins (left margin, etc.) which are differences between Axes.get_tightbbox
and Axes.bbox
are independent of Axes position. This may fail if Axes.adjustable
is datalim
as well as such cases as when left or right margin are affected by xlabel.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.pyplot.plotting
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