subplot(*args, **kwargs)
This is a wrapper of :None:None:`.Figure.add_subplot` which provides additional behavior when working with the implicit API (see the notes section).
Call signatures:
subplot(nrows, ncols, index, **kwargs) subplot(pos, **kwargs) subplot(**kwargs) subplot(ax)
Creating a new Axes will delete any pre-existing Axes that overlaps with it beyond sharing a boundary:
import matplotlib.pyplot as plt # plot a line, implicitly creating a subplot(111) plt.plot([1, 2, 3]) # now create a subplot which represents the top plot of a grid # with 2 rows and 1 column. Since this subplot will overlap the # first, the plot (and its axes) previously created, will be removed plt.subplot(211)
If you do not want this behavior, use the :None:None:`.Figure.add_subplot` method or the .pyplot.axes
function instead.
If no kwargs are passed and there exists an Axes in the location specified by args then that Axes will be returned rather than a new Axes being created.
If kwargs are passed and there exists an Axes in the location specified by args, the projection type is the same, and the kwargs match with the existing Axes, then the existing Axes is returned. Otherwise a new Axes is created with the specified parameters. We save a reference to the kwargs which we use for this comparison. If any of the values in kwargs are mutable we will not detect the case where they are mutated. In these cases we suggest using :None:None:`.Figure.add_subplot` and the explicit Axes API rather than the implicit pyplot API.
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
.
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'.
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 Axes to the current figure or retrieve an existing Axes.
plt.subplot(221)
# equivalent but more general ax1 = plt.subplot(2, 2, 1)
# add a subplot with no frame ax2 = plt.subplot(222, frameon=False)
# add a polar subplot plt.subplot(223, projection='polar')
# add a red subplot that shares the x-axis with ax1 plt.subplot(224, sharex=ax1, facecolor='red')
# delete ax2 from the figure plt.delaxes(ax2)
# add ax2 to the figure again plt.subplot(ax2)
See :# make the first axes "current" again plt.subplot(221)
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.viewer.canvastools.painttool.PaintTool
scipy.optimize._optimize.rosen
dask.array.ufunc.exp
matplotlib
matplotlib.pyplot.axes
scipy.interpolate._ndgriddata.griddata
matplotlib.figure.FigureBase.add_subplot
matplotlib.pyplot.subplots
matplotlib.figure.FigureBase.add_axes
matplotlib.figure.FigureBase.subplots
scipy.signal._filter_design.sosfreqz
scipy.special._basic.diric
scipy.signal._waveforms.square
scipy.signal._waveforms.sweep_poly
matplotlib.pyplot.plotting
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