The bounding box enclosing all data displayed in the Axes.
The view limits in data coordinates.
The Axes
instance supports callbacks through a callbacks attribute which is a ~.cbook.CallbackRegistry
instance. The events you can connect to are 'xlim_changed' and 'ylim_changed' and the callback will be called with func(ax) where ax is the Axes
instance.
The Axes
contains most of the figure elements: ~.axis.Axis
, ~.axis.Tick
, ~.lines.Line2D
, ~.text.Text
, ~.patches.Polygon
, etc., and sets the coordinate system.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.widgets
matplotlib.figure.FigureBase.align_ylabels
matplotlib.backend_tools.ToolViewsPositions._axes_pos
matplotlib.pyplot.figimage
matplotlib.figure.FigureBase.align_labels
matplotlib.widgets.AxesWidget
matplotlib.pyplot.box
matplotlib.widgets.CheckButtons.__init__
matplotlib.pyplot.subplots
matplotlib.figure.Figure.figimage
matplotlib.figure.FigureBase.align_xlabels
matplotlib.backend_bases.FigureCanvasBase.mpl_connect
matplotlib.pyplot.connect
matplotlib.axes._axes.Axes
matplotlib.widgets.Button
matplotlib.axes._axes.Axes.inset_axes
matplotlib.figure.FigureBase.subplots
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