add_axes(self, *args, **kwargs)
Call signatures:
add_axes(rect, projection=None, polar=False, **kwargs) add_axes(ax)
In rare circumstances, .add_axes
may be called with a single argument, an Axes instance already created in the present figure but not in the figure's list of Axes.
This method also takes the keyword arguments for the returned Axes class. The keyword arguments for the rectilinear Axes class :None:None:`~.axes.Axes`
can be found in the following table but there might also be other keyword arguments if another projection is used, see the actual Axes class.
Properties: adjustable: {'box', 'datalim'} agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha: scalar or None anchor: (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...} animated: bool aspect: {'auto', 'equal'} or float autoscale_on: bool autoscalex_on: bool autoscaley_on: bool axes_locator: Callable[[Axes, Renderer], Bbox] axisbelow: bool or 'line' box_aspect: float or None clip_box: .Bbox
clip_on: bool clip_path: Patch or (Path, Transform) or None facecolor or fc: color figure: .Figure
frame_on: bool gid: str in_layout: bool label: object navigate: bool navigate_mode: unknown path_effects: .AbstractPathEffect
picker: None or bool or float or callable position: [left, bottom, width, height] or ~matplotlib.transforms.Bbox
prop_cycle: unknown rasterization_zorder: float or None rasterized: bool sketch_params: (scale: float, length: float, randomness: float) snap: bool or None title: str transform: .Transform
url: str visible: bool xbound: unknown xlabel: str xlim: (bottom: float, top: float) xmargin: float greater than -0.5 xscale: {"linear", "log", "symlog", "logit", ...} or .ScaleBase
xticklabels: unknown xticks: unknown ybound: unknown ylabel: str ylim: (bottom: float, top: float) ymargin: float greater than -0.5 yscale: {"linear", "log", "symlog", "logit", ...} or .ScaleBase
yticklabels: unknown yticks: unknown zorder: float
The dimensions [left, bottom, width, height] of the new Axes. All quantities are in fractions of figure width and height.
The projection type of the :None:None:`~.axes.Axes`
. str is the name of a custom projection, see ~matplotlib.projections
. The default None results in a 'rectilinear' projection.
If True, equivalent to projection='polar'.
The :None:None:`.axes.Axes`
subclass that is instantiated. This parameter is incompatible with projection and polar. See axisartist_users-guide-index
for examples.
Share the x or y ~matplotlib.axis
with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.
A label for the returned Axes.
The returned axes class depends on the projection used. It is :None:None:`~.axes.Axes`
if rectilinear projection is used and .projections.polar.PolarAxes
if polar projection is used.
Add an Axes to the figure.
See :rect = l, b, w, h fig = plt.figure() fig.add_axes(rect) fig.add_axes(rect, frameon=False, facecolor='g') fig.add_axes(rect, polar=True) ax = fig.add_axes(rect, projection='polar') fig.delaxes(ax) fig.add_axes(ax)
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.figure.FigureBase._add_axes_internal
matplotlib.figure.FigureBase.add_axes
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