.FancyBboxPatch
is similar to .Rectangle
, but it draws a fancy box around the rectangle. The transformation of the rectangle box to the fancy box is delegated to the style classes defined in .BoxStyle
.
A fancy box around a rectangle with lower left at xy = (x, y) with specified width and height.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.patches.BoxStyle
matplotlib.offsetbox.PaddedBox
matplotlib.artist.Text.set
matplotlib.figure.FigureBase.legend
matplotlib.pyplot.figtext
matplotlib.figure.FigureBase.text
matplotlib.artist.Annotation.set
matplotlib.table.Cell.set_text_props
matplotlib.axes._axes.Axes.legend
matplotlib.pyplot.figlegend
matplotlib.legend.Legend.__init__
matplotlib.offsetbox.PaddedBox.__init__
matplotlib.pyplot.legend
matplotlib.text.Text.__init__
matplotlib.text.Text.get_bbox_patch
matplotlib.text.Text.set_bbox
matplotlib.patches.BoxStyle._Base
matplotlib.pyplot.text
matplotlib.artist.ClabelText.set
matplotlib.patches.FancyBboxPatch
matplotlib.axes._axes.Axes.text
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