See also :None:None:`.axes.Axes.set_xscale` and the scales examples in the documentation.
See /gallery/scales/custom_scale
for a full example of defining a custom scale.
Matplotlib also supports non-separable transformations that operate on both ~.axis.Axis
at the same time. They are known as projections, and defined in matplotlib.projections
.
Scales define the distribution of data values on an axis, e.g. a log scaling. They are defined as subclasses of ScaleBase
.
Scales define the distribution of data values on an axis, e.g. a log scaling. They are defined as subclasses of ScaleBase
.
See also :None:None:`.axes.Axes.set_xscale` and the scales examples in the documentation.
See /gallery/scales/custom_scale
for a full example of defining a custom scale.
Matplotlib also supports non-separable transformations that operate on both ~.axis.Axis
at the same time. They are known as projections, and defined in matplotlib.projections
.
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
