add_subplot(self, *args, **kwargs)
Call signatures:
add_subplot(nrows, ncols, index, **kwargs) add_subplot(pos, **kwargs) add_subplot(ax) add_subplot()
This method also takes the keyword arguments for the returned Axes base class; except for the figure argument. The keyword arguments for the rectilinear base 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.
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 position of the subplot described by one of
Three integers (nrows, ncols, index). The subplot will take the index position on a grid with nrows rows and ncols columns. index starts at 1 in the upper left corner and increases to the right. index can also be a two-tuple specifying the (first, last) indices (1-based, and including last) of the subplot, e.g., fig.add_subplot(3, 1, (1, 2))
makes a subplot that spans the upper 2/3 of the figure.
A 3-digit integer. The digits are interpreted as if given separately as three single-digit integers, i.e. fig.add_subplot(235)
is the same as fig.add_subplot(2, 3, 5)
. Note that this can only be used if there are no more than 9 subplots.
A .SubplotSpec
.
In rare circumstances, .add_subplot
may be called with a single argument, a subplot Axes instance already created in the present figure but not in the figure's list of Axes.
The projection type of the subplot (: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 Axes of the subplot. The returned Axes base 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. The returned Axes is then a subplot subclass of the base class.
Add an :None:None:`~.axes.Axes`
to the figure as part of a subplot arrangement.
fig = plt.figure()
fig.add_subplot(231) ax1 = fig.add_subplot(2, 3, 1) # equivalent but more general
fig.add_subplot(232, frameon=False) # subplot with no frame fig.add_subplot(233, projection='polar') # polar subplot fig.add_subplot(234, sharex=ax1) # subplot sharing x-axis with ax1 fig.add_subplot(235, facecolor="red") # red subplot
See :ax1.remove() # delete ax1 from the figure fig.add_subplot(ax1) # add ax1 back to the figure
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.pyplot.figure
matplotlib.figure.FigureBase.add_subplot
scipy.signal._filter_design.iirfilter
matplotlib.pyplot.subplots
matplotlib.figure.FigureBase._add_axes_internal
papyri
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