The interface is dict-like mapping names (e.g. 'left') to .Spine
objects. Additionally it implements some pandas.Series-like features like accessing elements by attribute:
spines['top'].set_visible(False) spines.top.set_visible(False)
Multiple spines can be addressed simultaneously by passing a list:
spines[['top', 'right']].set_visible(False)
Use an open slice to address all spines:
spines[:].set_visible(False)
The latter two indexing methods will return a SpinesProxy
that broadcasts all set_*
calls to its members, but cannot be used for any other operation.
The container of all .Spine
\s in an Axes.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.spines.SpinesProxy
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