matplotlib.figure.Figure

class matplotlib.figure.Figure(figsize=None, dpi=None, facecolor=None, edgecolor=None, linewidth=0.0, frameon=None, subplotpars=None, tight_layout=None, constrained_layout=None) [source]

Bases: matplotlib.artist.Artist

The top level container for all the plot elements.

The Figure instance supports callbacks through a callbacks attribute which is a CallbackRegistry instance. The events you can connect to are 'dpi_changed', and the callback will be called with func(fig) where fig is the Figure instance.

Attributes:	patch The `Rectangle` instance representing the figure background patch. suppressComposite For multiple figure images, the figure will make composite images depending on the renderer option_image_nocomposite function. If suppressComposite is a boolean, this will override the renderer.

Parameters:

Parameters:	`figsize : 2-tuple of floats, default: rcParams["figure.figsize"]` Figure dimension `(width, height)` in inches. `dpi : float, default: rcParams["figure.dpi"]` Dots per inch. `facecolor : default: rcParams["figure.facecolor"]` The figure patch facecolor. `edgecolor : default: rcParams["figure.edgecolor"]` The figure patch edge color. `linewidth : float` The linewidth of the frame (i.e. the edge linewidth of the figure patch). `frameon : bool, default: rcParams["figure.frameon"]` If `False`, suppress drawing the figure background patch. `subplotpars : SubplotParams` Subplot parameters. If not given, the default subplot parameters `rcParams["figure.subplot."]` are used. `tight_layout : bool or dict, default: rcParams["figure.autolayout"]` If `False` use subplotpars*. If `True` adjust subplot parameters using `tight_layout` with default padding. When providing a dict containing the keys `pad`, `w_pad`, `h_pad`, and `rect`, the default `tight_layout` paddings will be overridden. `constrained_layout : bool` If `True` use constrained layout to adjust positioning of plot elements. Like `tight_layout`, but designed to be more flexible. See Constrained Layout Guide for examples. (Note: does not work with `subplot()` or `subplot2grid()`.) Defaults to `rcParams["figure.constrained_layout.use"]`.

figsize : 2-tuple of floats, default: rcParams["figure.figsize"]: Figure dimension (width, height) in inches.
dpi : float, default: rcParams["figure.dpi"]: Dots per inch.
facecolor : default: rcParams["figure.facecolor"]: The figure patch facecolor.
edgecolor : default: rcParams["figure.edgecolor"]: The figure patch edge color.
linewidth : float: The linewidth of the frame (i.e. the edge linewidth of the figure patch).
frameon : bool, default: rcParams["figure.frameon"]: If False, suppress drawing the figure background patch.
subplotpars : SubplotParams: Subplot parameters. If not given, the default subplot parameters rcParams["figure.subplot.*"] are used.
tight_layout : bool or dict, default: rcParams["figure.autolayout"]: If False use subplotpars. If True adjust subplot parameters using tight_layout with default padding. When providing a dict containing the keys pad, w_pad, h_pad, and rect, the default tight_layout paddings will be overridden.
constrained_layout : bool: If True use constrained layout to adjust positioning of plot elements. Like tight_layout, but designed to be more flexible. See Constrained Layout Guide for examples. (Note: does not work with subplot() or subplot2grid().) Defaults to rcParams["figure.constrained_layout.use"].

add_artist(self, artist, clip=False) [source]

Add any Artist to the figure.

Usually artists are added to axes objects using matplotlib.axes.Axes.add_artist(), but use this method in the rare cases that adding directly to the figure is necessary.

Parameters:	`artist : Artist` The artist to add to the figure. If the added artist has no transform previously set, its transform will be set to `figure.transFigure`. `clip : bool, optional, default False` An optional parameter `clip` determines whether the added artist should be clipped by the figure patch. Default is False, i.e. no clipping.
Returns:	`artist : The added Artist`

add_axes(self, *args, **kwargs) [source]

Add an axes to the figure.

Call signatures:

add_axes(rect, projection=None, polar=False, **kwargs)
add_axes(ax)

Parameters:

rect : sequence of float: The dimensions [left, bottom, width, height] of the new axes. All quantities are in fractions of figure width and height.
projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional: The projection type of the Axes. str is the name of a custom projection, see projections. The default None results in a 'rectilinear' projection.
polar : boolean, optional: If True, equivalent to projection='polar'.
sharex, sharey : Axes, optional: Share the x or y axis with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.
label : str: A label for the returned axes.

Returns:

axes : Axes (or a subclass of Axes): The returned axes class depends on the projection used. It is Axes if rectilinear projection are used and projections.polar.PolarAxes if polar projection are used.

Other Parameters:

**kwargs

This method also takes the keyword arguments for the returned axes class. The keyword arguments for the rectilinear axes class 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.

Property	Description
`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`	float
`anchor`	2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or num
`autoscale_on`	bool
`autoscalex_on`	bool
`autoscaley_on`	bool
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	[(`Path`, `Transform`) \| `Patch` \| None]
`contains`	callable
`facecolor`	color
`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 `Bbox`
`rasterization_zorder`	float or None
`rasterized`	bool or None
`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`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	list
`ybound`	unknown
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	list
`zorder`	float

See also

Figure.add_subplot
pyplot.subplot
pyplot.axes
Figure.subplots
pyplot.subplots

Notes

If the figure already has an axes with key (args, kwargs) then it will simply make that axes current and return it. This behavior is deprecated. Meanwhile, if you do not want this behavior (i.e., you want to force the creation of a new axes), you must use a unique set of args and kwargs. The axes label attribute has been exposed for this purpose: if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels.

In rare circumstances, add_axes may be called with a single argument, a axes instance already created in the present figure but not in the figure's list of axes.

Examples

Some simple examples:

rect = l, b, w, h
fig = plt.figure()
fig.add_axes(rect,label=label1)
fig.add_axes(rect,label=label2)
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)

add_axobserver(self, func) [source]: Whenever the axes state change, func(self) will be called.

add_gridspec(self, nrows, ncols, **kwargs) [source]

Return a GridSpec that has this figure as a parent. This allows complex layout of axes in the figure.

Parameters:	`nrows : int` Number of rows in grid. `ncols : int` Number or columns in grid.
Returns:	`gridspec : GridSpec`
Other Parameters:	**kwargs Keyword arguments are passed to `GridSpec`.

See also

matplotlib.pyplot.subplots

Examples

Adding a subplot that spans two rows:

fig = plt.figure()
gs = fig.add_gridspec(2, 2)
ax1 = fig.add_subplot(gs[0, 0])
ax2 = fig.add_subplot(gs[1, 0])
# spans two rows:
ax3 = fig.add_subplot(gs[:, 1])

add_subplot(self, *args, **kwargs) [source]

Add an Axes to the figure as part of a subplot arrangement.

Call signatures:

add_subplot(nrows, ncols, index, **kwargs)
add_subplot(pos, **kwargs)
add_subplot(ax)
add_subplot()

Parameters:

*args

Either a 3-digit integer or three separate integers describing the position of the subplot. If the three integers are nrows, ncols, and index in order, 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.

pos is a three digit integer, where the first digit is the number of rows, the second the number of columns, and the third the index of the subplot. i.e. fig.add_subplot(235) is the same as fig.add_subplot(2, 3, 5). Note that all integers must be less than 10 for this form to work.

If no positional arguments are passed, defaults to (1, 1, 1).

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.

projection : {None, 'aitoff', 'hammer', 'lambert', 'mollweide', 'polar', 'rectilinear', str}, optional

The projection type of the subplot (Axes). str is the name of a custom projection, see projections. The default None results in a 'rectilinear' projection.

polar : boolean, optional

If True, equivalent to projection='polar'.

sharex, sharey : Axes, optional

Share the x or y axis with sharex and/or sharey. The axis will have the same limits, ticks, and scale as the axis of the shared axes.

label : str

A label for the returned axes.

Returns:

axes : axes.SubplotBase, or another subclass of Axes: The axes of the subplot. The returned axes base class depends on the projection used. It is Axes if rectilinear projection are used and projections.polar.PolarAxes if polar projection are used. The returned axes is then a subplot subclass of the base class.

Other Parameters:

**kwargs

This method also takes the keyword arguments for the returned axes base class. The keyword arguments for the rectilinear base class Axes can be found in the following table but there might also be other keyword arguments if another projection is used.

Property	Description
`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`	float
`anchor`	2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or num
`autoscale_on`	bool
`autoscalex_on`	bool
`autoscaley_on`	bool
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	[(`Path`, `Transform`) \| `Patch` \| None]
`contains`	callable
`facecolor`	color
`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 `Bbox`
`rasterization_zorder`	float or None
`rasterized`	bool or None
`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`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	list
`ybound`	unknown
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	list
`zorder`	float

See also

Figure.add_axes
pyplot.subplot
pyplot.axes
Figure.subplots
pyplot.subplots

Notes

If the figure already has a subplot with key (args, kwargs) then it will simply make that subplot current and return it. This behavior is deprecated. Meanwhile, if you do not want this behavior (i.e., you want to force the creation of a new subplot), you must use a unique set of args and kwargs. The axes label attribute has been exposed for this purpose: if you want two subplots that are otherwise identical to be added to the figure, make sure you give them unique labels.

Examples

fig = plt.figure()
fig.add_subplot(221)

# equivalent but more general
ax1 = fig.add_subplot(2, 2, 1)

# add a subplot with no frame
ax2 = fig.add_subplot(222, frameon=False)

# add a polar subplot
fig.add_subplot(223, projection='polar')

# add a red subplot that share the x-axis with ax1
fig.add_subplot(224, sharex=ax1, facecolor='red')

#delete x2 from the figure
fig.delaxes(ax2)

#add x2 to the figure again
fig.add_subplot(ax2)

align_labels(self, axs=None) [source]

Align the xlabels and ylabels of subplots with the same subplots row or column (respectively) if label alignment is being done automatically (i.e. the label position is not manually set).

Alignment persists for draw events after this is called.

Parameters:	`axs : list of Axes` Optional list (or ndarray) of `Axes` to align the labels. Default is to align all axes on the figure.

See also

matplotlib.figure.Figure.align_xlabels
matplotlib.figure.Figure.align_ylabels

align_xlabels(self, axs=None) [source]

Align the ylabels of subplots in the same subplot column if label alignment is being done automatically (i.e. the label position is not manually set).

Alignment persists for draw events after this is called.

If a label is on the bottom, it is aligned with labels on axes that also have their label on the bottom and that have the same bottom-most subplot row. If the label is on the top, it is aligned with labels on axes with the same top-most row.

Parameters:	`axs : list of Axes` Optional list of (or ndarray) `Axes` to align the xlabels. Default is to align all axes on the figure.

See also

matplotlib.figure.Figure.align_ylabels
matplotlib.figure.Figure.align_labels

Notes

This assumes that axs are from the same GridSpec, so that their SubplotSpec positions correspond to figure positions.

Examples

Example with rotated xtick labels:

fig, axs = plt.subplots(1, 2)
for tick in axs[0].get_xticklabels():
    tick.set_rotation(55)
axs[0].set_xlabel('XLabel 0')
axs[1].set_xlabel('XLabel 1')
fig.align_xlabels()

align_ylabels(self, axs=None) [source]

Align the ylabels of subplots in the same subplot column if label alignment is being done automatically (i.e. the label position is not manually set).

Alignment persists for draw events after this is called.

If a label is on the left, it is aligned with labels on axes that also have their label on the left and that have the same left-most subplot column. If the label is on the right, it is aligned with labels on axes with the same right-most column.

Parameters:	`axs : list of Axes` Optional list (or ndarray) of `Axes` to align the ylabels. Default is to align all axes on the figure.

See also

matplotlib.figure.Figure.align_xlabels
matplotlib.figure.Figure.align_labels

Notes

This assumes that axs are from the same GridSpec, so that their SubplotSpec positions correspond to figure positions.

Examples

Example with large yticks labels:

fig, axs = plt.subplots(2, 1)
axs[0].plot(np.arange(0, 1000, 50))
axs[0].set_ylabel('YLabel 0')
axs[1].set_ylabel('YLabel 1')
fig.align_ylabels()

autofmt_xdate(self, bottom=0.2, rotation=30, ha='right', which=None) [source]

Date ticklabels often overlap, so it is useful to rotate them and right align them. Also, a common use case is a number of subplots with shared xaxes where the x-axis is date data. The ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn off xlabels.

Parameters:	`bottom : scalar` The bottom of the subplots for `subplots_adjust()`. `rotation : angle in degrees` The rotation of the xtick labels. `ha : string` The horizontal alignment of the xticklabels. `which : {None, 'major', 'minor', 'both'}` Selects which ticklabels to rotate. Default is None which works the same as major.

axes: List of axes in the Figure. You can access the axes in the Figure through this list. Do not modify the list itself. Instead, use add_axes, subplot or delaxes to add or remove an axes.

clear(self, keep_observers=False) [source]: Clear the figure -- synonym for clf().

clf(self, keep_observers=False) [source]

Clear the figure.

Set keep_observers to True if, for example, a gui widget is tracking the axes in the figure.

colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw) [source]

Create a colorbar for a ScalarMappable instance, mappable.

Documentation for the pyplot thin wrapper:

Add a colorbar to a plot.

Function signatures for the pyplot interface; all but the first are also method signatures for the colorbar() method:

colorbar(**kwargs)
colorbar(mappable, **kwargs)
colorbar(mappable, cax=cax, **kwargs)
colorbar(mappable, ax=ax, **kwargs)

Parameters:

Parameters:	mappable The `matplotlib.cm.ScalarMappable` (i.e., `Image`, `ContourSet`, etc.) described by this colorbar. This argument is mandatory for the `Figure.colorbar` method but optional for the `pyplot.colorbar` function, which sets the default to the current image. Note that one can create a `ScalarMappable` "on-the-fly" to generate colorbars not attached to a previously drawn artist, e.g. `fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax)` `cax : Axes object, optional` Axes into which the colorbar will be drawn. `ax : Axes, list of Axes, optional` Parent axes from which space for a new colorbar axes will be stolen. If a list of axes is given they will all be resized to make room for the colorbar axes. `use_gridspec : bool, optional` If cax is `None`, a new cax is created as an instance of Axes. If ax is an instance of Subplot and use_gridspec is `True`, cax is created as an instance of Subplot using the `gridspec` module.
Returns:	`colorbar : Colorbar` See also its base class, `ColorbarBase`. Use `set_label` to label the colorbar.

mappable

The matplotlib.cm.ScalarMappable (i.e., Image, ContourSet, etc.) described by this colorbar. This argument is mandatory for the Figure.colorbar method but optional for the pyplot.colorbar function, which sets the default to the current image.

Note that one can create a ScalarMappable "on-the-fly" to generate colorbars not attached to a previously drawn artist, e.g.

fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax)

cax : Axes object, optional

Axes into which the colorbar will be drawn.

ax : Axes, list of Axes, optional

Parent axes from which space for a new colorbar axes will be stolen. If a list of axes is given they will all be resized to make room for the colorbar axes.

use_gridspec : bool, optional

If cax is None, a new cax is created as an instance of Axes. If ax is an instance of Subplot and use_gridspec is True, cax is created as an instance of Subplot using the gridspec module.

Returns:

colorbar : Colorbar: See also its base class, ColorbarBase. Use set_label to label the colorbar.

Notes

Additional keyword arguments are of two kinds:

axes properties:

Property	Description
orientation	vertical or horizontal
fraction	0.15; fraction of original axes to use for colorbar
pad	0.05 if vertical, 0.15 if horizontal; fraction of original axes between colorbar and new image axes
shrink	1.0; fraction by which to multiply the size of the colorbar
aspect	20; ratio of long to short dimensions
anchor	(0.0, 0.5) if vertical; (0.5, 1.0) if horizontal; the anchor point of the colorbar axes
panchor	(1.0, 0.5) if vertical; (0.5, 0.0) if horizontal; the anchor point of the colorbar parent axes. If False, the parent axes' anchor will be unchanged

colorbar properties:

Property	Description
extend	[ 'neither' \| 'both' \| 'min' \| 'max' ] If not 'neither', make pointed end(s) for out-of- range values. These are set for a given colormap using the colormap set_under and set_over methods.
extendfrac	[ None \| 'auto' \| length \| lengths ] If set to None, both the minimum and maximum triangular colorbar extensions with have a length of 5% of the interior colorbar length (this is the default setting). If set to 'auto', makes the triangular colorbar extensions the same lengths as the interior boxes (when spacing is set to 'uniform') or the same lengths as the respective adjacent interior boxes (when spacing is set to 'proportional'). If a scalar, indicates the length of both the minimum and maximum triangular colorbar extensions as a fraction of the interior colorbar length. A two-element sequence of fractions may also be given, indicating the lengths of the minimum and maximum colorbar extensions respectively as a fraction of the interior colorbar length.
extendrect	bool If False the minimum and maximum colorbar extensions will be triangular (the default). If True the extensions will be rectangular.
spacing	[ 'uniform' \| 'proportional' ] Uniform spacing gives each discrete color the same space; proportional makes the space proportional to the data interval.
ticks	[ None \| list of ticks \| Locator object ] If None, ticks are determined automatically from the input.
format	[ None \| format string \| Formatter object ] If None, the `ScalarFormatter` is used. If a format string is given, e.g., '%.3f', that is used. An alternative `Formatter` object may be given instead.
drawedges	bool Whether to draw lines at color boundaries.

The following will probably be useful only in the context of indexed colors (that is, when the mappable has norm=NoNorm()), or other unusual circumstances.

Property	Description
boundaries	None or a sequence
values	None or a sequence which must be of length 1 less than the sequence of boundaries. For each region delimited by adjacent entries in boundaries, the color mapped to the corresponding value in values will be used.

If mappable is a ContourSet, its extend kwarg is included automatically.

The shrink kwarg provides a simple way to scale the colorbar with respect to the axes. Note that if cax is specified, it determines the size of the colorbar and shrink and aspect kwargs are ignored.

For more precise control, you can manually specify the positions of the axes objects in which the mappable and the colorbar are drawn. In this case, do not use any of the axes properties kwargs.

It is known that some vector graphics viewers (svg and pdf) renders white gaps between segments of the colorbar. This is due to bugs in the viewers, not Matplotlib. As a workaround, the colorbar can be rendered with overlapping segments:

cbar = colorbar()
cbar.solids.set_edgecolor("face")
draw()

However this has negative consequences in other circumstances, e.g. with semi-transparent images (alpha < 1) and colorbar extensions; therefore, this workaround is not used by default (see issue #1188).

contains(self, mouseevent) [source]

Test whether the mouse event occurred on the figure.

Returns:	bool, {}

delaxes(self, ax) [source]: Remove the Axes ax from the figure and update the current axes.

dpi: The resolution in dots per inch.

draw(self, renderer) [source]: Render the figure using matplotlib.backend_bases.RendererBase instance renderer.

draw_artist(self, a) [source]: Draw matplotlib.artist.Artist instance a only. This is available only after the figure is drawn.

execute_constrained_layout(self, renderer=None) [source]

Use layoutbox to determine pos positions within axes.

Parameters:	X The image data. This is an array of one of the following shapes: MxN: luminance (grayscale) values MxNx3: RGB values MxNx4: RGBA values `xo, yo : int` The x/y image offset in pixels. `alpha : None or float` The alpha blending value. `norm : matplotlib.colors.Normalize` A `Normalize` instance to map the luminance to the interval [0, 1]. `cmap : str or matplotlib.colors.Colormap` The colormap to use. Default: `rcParams["image.cmap"]`. `vmin, vmax : scalar` If norm is not given, these values set the data limits for the colormap. `origin : {'upper', 'lower'}` Indicates where the [0, 0] index of the array is in the upper left or lower left corner of the axes. Defaults to `rcParams["image.origin"]`. `resize : bool` If True, resize the figure to match the given image size.
Returns:	`matplotlib.image.FigureImage`
Other Parameters:	**kwargs Additional kwargs are `Artist` kwargs passed on to `FigureImage`.

Notes

figimage complements the axes image (imshow()) which will be resampled to fit the current axes. If you want a resampled image to fill the entire figure, you can define an Axes with extent [0,0,1,1].

Examples:

f = plt.figure()
nx = int(f.get_figwidth() * f.dpi)
ny = int(f.get_figheight() * f.dpi)
data = np.random.random((ny, nx))
f.figimage(data)
plt.show()

frameon: Return the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.get_visible().

gca(self, **kwargs) [source]

Get the current axes, creating one if necessary.

The following kwargs are supported for ensuring the returned axes adheres to the given projection etc., and for axes creation if the active axes does not exist:

Property	Description
`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`	float
`anchor`	2-tuple of floats or {'C', 'SW', 'S', 'SE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or num
`autoscale_on`	bool
`autoscalex_on`	bool
`autoscaley_on`	bool
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	[(`Path`, `Transform`) \| `Patch` \| None]
`contains`	callable
`facecolor`	color
`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 `Bbox`
`rasterization_zorder`	float or None
`rasterized`	bool or None
`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`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	{"linear", "log", "symlog", "logit", ...}
`xticklabels`	List[str]
`xticks`	list
`ybound`	unknown
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	{"linear", "log", "symlog", "logit", ...}
`yticklabels`	List[str]
`yticks`	list
`zorder`	float

get_axes(self) [source]

Return a list of axes in the Figure. You can access and modify the axes in the Figure through this list.

Do not modify the list itself. Instead, use add_axes, subplot or delaxes to add or remove an axes.

Note: This is equivalent to the property axes.

get_children(self) [source]: Get a list of artists contained in the figure.

get_constrained_layout(self) [source]

Return a boolean: True means constrained layout is being used.

See Constrained Layout Guide.

get_constrained_layout_pads(self, relative=False) [source]

Get padding for constrained_layout.

Returns a list of w_pad, h_pad in inches and wspace and hspace as fractions of the subplot.

See Constrained Layout Guide.

Parameters:	`relative : boolean` If `True`, then convert from inches to figure relative.

get_default_bbox_extra_artists(self) [source]

get_dpi(self) [source]: Return the resolution in dots per inch as a float.

get_edgecolor(self) [source]: Get the edge color of the Figure rectangle.

get_facecolor(self) [source]: Get the face color of the Figure rectangle.

get_figheight(self) [source]: Return the figure height as a float.

get_figwidth(self) [source]: Return the figure width as a float.

get_frameon(self) [source]: Return the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.get_visible().

get_size_inches(self) [source]

Returns the current size of the figure in inches.

Returns:	`size : ndarray` The size (width, height) of the figure in inches.

See also

matplotlib.Figure.set_size_inches

get_tight_layout(self) [source]: Return whether tight_layout is called when drawing.

get_tightbbox(self, renderer, bbox_extra_artists=None) [source]

Return a (tight) bounding box of the figure in inches.

Artists that have artist.set_in_layout(False) are not included in the bbox.

Parameters:	`renderer : RendererBase instance` renderer that will be used to draw the figures (i.e. `fig.canvas.get_renderer()`) `bbox_extra_artists : list of Artist or None` List of artists to include in the tight bounding box. If `None` (default), then all artist children of each axes are included in the tight bounding box.
Returns:	`bbox : BboxBase` containing the bounding box (in figure inches).

get_window_extent(self, *args, **kwargs) [source]: Return the figure bounding box in display space. Arguments are ignored.

ginput(self, n=1, timeout=30, show_clicks=True, mouse_add=1, mouse_pop=3, mouse_stop=2) [source]

Blocking call to interact with a figure.

Wait until the user clicks n times on the figure, and return the coordinates of each click in a list.

There are three possible interactions:

Add a point.
Remove the most recently added point.
Stop the interaction and return the points added so far.

The actions are assigned to mouse buttons via the arguments mouse_add, mouse_pop and mouse_stop. Mouse buttons are defined by the numbers:

1: left mouse button
2: middle mouse button
3: right mouse button
None: no mouse button

Parameters:

Parameters:	`n : int, optional, default: 1` Number of mouse clicks to accumulate. If negative, accumulate clicks until the input is terminated manually. `timeout : scalar, optional, default: 30` Number of seconds to wait before timing out. If zero or negative will never timeout. `show_clicks : bool, optional, default: True` If True, show a red cross at the location of each click. `mouse_add : {1, 2, 3, None}, optional, default: 1 (left click)` Mouse button used to add points. `mouse_pop : {1, 2, 3, None}, optional, default: 3 (right click)` Mouse button used to remove the most recently added point. `mouse_stop : {1, 2, 3, None}, optional, default: 2 (middle click)` Mouse button used to stop input.
Returns:	`points : list of tuples` A list of the clicked (x, y) coordinates.

n : int, optional, default: 1: Number of mouse clicks to accumulate. If negative, accumulate clicks until the input is terminated manually.
timeout : scalar, optional, default: 30: Number of seconds to wait before timing out. If zero or negative will never timeout.
show_clicks : bool, optional, default: True: If True, show a red cross at the location of each click.
mouse_add : {1, 2, 3, None}, optional, default: 1 (left click): Mouse button used to add points.
mouse_pop : {1, 2, 3, None}, optional, default: 3 (right click): Mouse button used to remove the most recently added point.
mouse_stop : {1, 2, 3, None}, optional, default: 2 (middle click): Mouse button used to stop input.

Returns:

points : list of tuples: A list of the clicked (x, y) coordinates.

Notes

The keyboard can also be used to select points in case your mouse does not have one or more of the buttons. The delete and backspace keys act like right clicking (i.e., remove last point), the enter key terminates input and any other key (not already used by the window manager) selects a point.

init_layoutbox(self) [source]: Initialize the layoutbox for use in constrained_layout.

legend(self, *args, **kwargs) [source]

Place a legend on the figure.

To make a legend from existing artists on every axes:

legend()

To make a legend for a list of lines and labels:

legend(
    (line1, line2, line3),
    ('label1', 'label2', 'label3'),
    loc='upper right')

These can also be specified by keyword:

legend(
    handles=(line1, line2, line3),
    labels=('label1', 'label2', 'label3'),
    loc='upper right')

Parameters:

handles : sequence of Artist, optional

A list of Artists (lines, patches) to be added to the legend. Use this together with labels, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

The length of handles and labels should be the same in this case. If they are not, they are truncated to the smaller length.

labels : sequence of strings, optional

A list of labels to show next to the artists. Use this together with handles, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

Returns:

matplotlib.legend.Legend instance

Other Parameters:

loc : str or pair of floats, default: rcParams["legend.loc"] ('best' for axes, 'upper right' for figures)

The location of the legend.

The strings 'upper left', 'upper right', 'lower left', 'lower right' place the legend at the corresponding corner of the axes/figure.

The strings 'upper center', 'lower center', 'center left', 'center right' place the legend at the center of the corresponding edge of the axes/figure.

The string 'center' places the legend at the center of the axes/figure.

The string 'best' places the legend at the location, among the nine locations defined so far, with the minimum overlap with other drawn artists. This option can be quite slow for plots with large amounts of data; your plotting speed may benefit from providing a specific location.

The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored).

For back-compatibility, 'center right' (but no other location) can also be spelled 'right', and each "string" locations can also be given as a numeric value:

Location String	Location Code
'best'	0
'upper right'	1
'upper left'	2
'lower left'	3
'lower right'	4
'right'	5
'center left'	6
'center right'	7
'lower center'	8
'upper center'	9
'center'	10

bbox_to_anchor : BboxBase, 2-tuple, or 4-tuple of floats

Box that is used to position the legend in conjunction with loc. Defaults to axes.bbox (if called as a method to Axes.legend) or figure.bbox (if Figure.legend). This argument allows arbitrary placement of the legend.

Bbox coordinates are interpreted in the coordinate system given by bbox_transform, with the default transform Axes or Figure coordinates, depending on which legend is called.

If a 4-tuple or BboxBase is given, then it specifies the bbox (x, y, width, height) that the legend is placed in. To put the legend in the best location in the bottom right quadrant of the axes (or figure):

loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5)

A 2-tuple (x, y) places the corner of the legend specified by loc at x, y. For example, to put the legend's upper right-hand corner in the center of the axes (or figure) the following keywords can be used:

loc='upper right', bbox_to_anchor=(0.5, 0.5)

ncol : integer

The number of columns that the legend has. Default is 1.

prop : None or matplotlib.font_manager.FontProperties or dict

The font properties of the legend. If None (default), the current matplotlib.rcParams will be used.

fontsize : int or float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}

Controls the font size of the legend. If the value is numeric the size will be the absolute font size in points. String values are relative to the current default font size. This argument is only used if prop is not specified.

numpoints : None or int

The number of marker points in the legend when creating a legend entry for a Line2D (line). Default is None, which will take the value from rcParams["legend.numpoints"].

scatterpoints : None or int

The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). Default is None, which will take the value from rcParams["legend.scatterpoints"].

scatteryoffsets : iterable of floats

The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. 0.0 is at the base the legend text, and 1.0 is at the top. To draw all markers at the same height, set to [0.5]. Default is [0.375, 0.5, 0.3125].

markerscale : None or int or float

The relative size of legend markers compared with the originally drawn ones. Default is None, which will take the value from rcParams["legend.markerscale"].

markerfirst : bool

If True, legend marker is placed to the left of the legend label. If False, legend marker is placed to the right of the legend label. Default is True.

frameon : None or bool

Control whether the legend should be drawn on a patch (frame). Default is None, which will take the value from rcParams["legend.frameon"].

fancybox : None or bool

Control whether round edges should be enabled around the FancyBboxPatch which makes up the legend's background. Default is None, which will take the value from rcParams["legend.fancybox"].

shadow : None or bool

Control whether to draw a shadow behind the legend. Default is None, which will take the value from rcParams["legend.shadow"].

framealpha : None or float

Control the alpha transparency of the legend's background. Default is None, which will take the value from rcParams["legend.framealpha"]. If shadow is activated and framealpha is None, the default value is ignored.

facecolor : None or "inherit" or a color spec

Control the legend's background color. Default is None, which will take the value from rcParams["legend.facecolor"]. If "inherit", it will take rcParams["axes.facecolor"].

edgecolor : None or "inherit" or a color spec

Control the legend's background patch edge color. Default is None, which will take the value from rcParams["legend.edgecolor"] If "inherit", it will take rcParams["axes.edgecolor"].

mode : {"expand", None}

If mode is set to "expand" the legend will be horizontally expanded to fill the axes area (or bbox_to_anchor if defines the legend's size).

bbox_transform : None or matplotlib.transforms.Transform

The transform for the bounding box (bbox_to_anchor). For a value of None (default) the Axes' transAxes transform will be used.

title : str or None

The legend's title. Default is no title (None).

title_fontsize: str or None

The fontsize of the legend's title. Default is the default fontsize.

borderpad : float or None

The fractional whitespace inside the legend border. Measured in font-size units. Default is None, which will take the value from rcParams["legend.borderpad"].

labelspacing : float or None

The vertical space between the legend entries. Measured in font-size units. Default is None, which will take the value from rcParams["legend.labelspacing"].

handlelength : float or None

The length of the legend handles. Measured in font-size units. Default is None, which will take the value from rcParams["legend.handlelength"].

handletextpad : float or None

The pad between the legend handle and text. Measured in font-size units. Default is None, which will take the value from rcParams["legend.handletextpad"].

borderaxespad : float or None

The pad between the axes and legend border. Measured in font-size units. Default is None, which will take the value from rcParams["legend.borderaxespad"].

columnspacing : float or None

The spacing between columns. Measured in font-size units. Default is None, which will take the value from rcParams["legend.columnspacing"].

handler_map : dict or None

The custom dictionary mapping instances or types to a legend handler. This handler_map updates the default handler map found at matplotlib.legend.Legend.get_legend_handler_map().

Notes

Not all kinds of artist are supported by the legend command. See Legend guide for details.

savefig(self, fname, *, transparent=None, **kwargs) [source]

Save the current figure.

Call signature:

savefig(fname, dpi=None, facecolor='w', edgecolor='w',
        orientation='portrait', papertype=None, format=None,
        transparent=False, bbox_inches=None, pad_inches=0.1,
        frameon=None, metadata=None)

The output formats available depend on the backend being used.

Parameters:

Parameters:	`fname : str or PathLike or file-like object` A path, or a Python file-like object, or possibly some backend-dependent object such as `matplotlib.backends.backend_pdf.PdfPages`. If format is not set, then the output format is inferred from the extension of fname, if any, and from `rcParams["savefig.format"]` otherwise. If format is set, it determines the output format. Hence, if fname is not a path or has no extension, remember to specify format to ensure that the correct backend is used.
Other Parameters:	`dpi : [ None \| scalar > 0 \| 'figure' ]` The resolution in dots per inch. If None, defaults to `rcParams["savefig.dpi"]`. If 'figure', uses the figure's dpi value. `quality : [ None \| 1 <= scalar <= 100 ]` The image quality, on a scale from 1 (worst) to 95 (best). Applicable only if format is jpg or jpeg, ignored otherwise. If None, defaults to `rcParams["savefig.jpeg_quality"]` (95 by default). Values above 95 should be avoided; 100 completely disables the JPEG quantization stage. `optimize : bool` If True, indicates that the JPEG encoder should make an extra pass over the image in order to select optimal encoder settings. Applicable only if format is jpg or jpeg, ignored otherwise. Is False by default. `progressive : bool` If True, indicates that this image should be stored as a progressive JPEG file. Applicable only if format is jpg or jpeg, ignored otherwise. Is False by default. `facecolor : color spec or None, optional` The facecolor of the figure; if None, defaults to `rcParams["savefig.facecolor"]`. `edgecolor : color spec or None, optional` The edgecolor of the figure; if None, defaults to `rcParams["savefig.edgecolor"]` `orientation : {'landscape', 'portrait'}` Currently only supported by the postscript backend. `papertype : str` One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'. Only supported for postscript output. `format : str` The file format, e.g. 'png', 'pdf', 'svg', ... The behavior when this is unset is documented under fname. `transparent : bool` If True, the axes patches will all be transparent; the figure patch will also be transparent unless facecolor and/or edgecolor are specified via kwargs. This is useful, for example, for displaying a plot on top of a colored background on a web page. The transparency of these patches will be restored to their original values upon exit of this function. `bbox_inches : str or Bbox, optional` Bbox in inches. Only the given portion of the figure is saved. If 'tight', try to figure out the tight bbox of the figure. If None, use savefig.bbox `pad_inches : scalar, optional` Amount of padding around the figure when bbox_inches is 'tight'. If None, use savefig.pad_inches `bbox_extra_artists : list of Artist, optional` A list of extra artists that will be considered when the tight bbox is calculated. `metadata : dict, optional` Key/value pairs to store in the image metadata. The supported keys and defaults depend on the image format and backend: 'png' with Agg backend: See the parameter `metadata` of `print_png`. 'pdf' with pdf backend: See the parameter `metadata` of `PdfPages`. 'eps' and 'ps' with PS backend: Only 'Creator' is supported. `pil_kwargs : dict, optional` Additional keyword arguments that are passed to `PIL.Image.save` when saving the figure. Only applicable for formats that are saved using Pillow, i.e. JPEG, TIFF, and (if the keyword is set to a non-None value) PNG.

fname : str or PathLike or file-like object

A path, or a Python file-like object, or possibly some backend-dependent object such as matplotlib.backends.backend_pdf.PdfPages.

If format is not set, then the output format is inferred from the extension of fname, if any, and from rcParams["savefig.format"] otherwise. If format is set, it determines the output format.

Hence, if fname is not a path or has no extension, remember to specify format to ensure that the correct backend is used.

Other Parameters:

dpi : [ None | scalar > 0 | 'figure' ]

The resolution in dots per inch. If None, defaults to rcParams["savefig.dpi"]. If 'figure', uses the figure's dpi value.

quality : [ None | 1 <= scalar <= 100 ]

The image quality, on a scale from 1 (worst) to 95 (best). Applicable only if format is jpg or jpeg, ignored otherwise. If None, defaults to rcParams["savefig.jpeg_quality"] (95 by default). Values above 95 should be avoided; 100 completely disables the JPEG quantization stage.

optimize : bool

If True, indicates that the JPEG encoder should make an extra pass over the image in order to select optimal encoder settings. Applicable only if format is jpg or jpeg, ignored otherwise. Is False by default.

progressive : bool

If True, indicates that this image should be stored as a progressive JPEG file. Applicable only if format is jpg or jpeg, ignored otherwise. Is False by default.

facecolor : color spec or None, optional

The facecolor of the figure; if None, defaults to rcParams["savefig.facecolor"].

edgecolor : color spec or None, optional

The edgecolor of the figure; if None, defaults to rcParams["savefig.edgecolor"]

orientation : {'landscape', 'portrait'}

Currently only supported by the postscript backend.

papertype : str

One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'. Only supported for postscript output.

format : str

The file format, e.g. 'png', 'pdf', 'svg', ... The behavior when this is unset is documented under fname.

transparent : bool

If True, the axes patches will all be transparent; the figure patch will also be transparent unless facecolor and/or edgecolor are specified via kwargs. This is useful, for example, for displaying a plot on top of a colored background on a web page. The transparency of these patches will be restored to their original values upon exit of this function.

bbox_inches : str or Bbox, optional

Bbox in inches. Only the given portion of the figure is saved. If 'tight', try to figure out the tight bbox of the figure. If None, use savefig.bbox

pad_inches : scalar, optional

Amount of padding around the figure when bbox_inches is 'tight'. If None, use savefig.pad_inches

bbox_extra_artists : list of Artist, optional

A list of extra artists that will be considered when the tight bbox is calculated.

metadata : dict, optional

Key/value pairs to store in the image metadata. The supported keys and defaults depend on the image format and backend:

'png' with Agg backend: See the parameter metadata of print_png.
'pdf' with pdf backend: See the parameter metadata of PdfPages.
'eps' and 'ps' with PS backend: Only 'Creator' is supported.

pil_kwargs : dict, optional

Additional keyword arguments that are passed to PIL.Image.save when saving the figure. Only applicable for formats that are saved using Pillow, i.e. JPEG, TIFF, and (if the keyword is set to a non-None value) PNG.

sca(self, a) [source]: Set the current axes to be a and return a.

set_canvas(self, canvas) [source]

Set the canvas that contains the figure

Parameters:	`canvas : FigureCanvas`

set_constrained_layout(self, constrained) [source]

Set whether constrained_layout is used upon drawing. If None, the rcParams['figure.constrained_layout.use'] value will be used.

When providing a dict containing the keys w_pad, h_pad the default constrained_layout paddings will be overridden. These pads are in inches and default to 3.0/72.0. w_pad is the width padding and h_pad is the height padding.

See Constrained Layout Guide.

Parameters:	`constrained : bool or dict or None`

set_constrained_layout_pads(self, **kwargs) [source]

Set padding for constrained_layout. Note the kwargs can be passed as a dictionary fig.set_constrained_layout(**paddict).

See Constrained Layout Guide.

Parameters:

Parameters:	`w_pad : scalar` Width padding in inches. This is the pad around axes and is meant to make sure there is enough room for fonts to look good. Defaults to 3 pts = 0.04167 inches `h_pad : scalar` Height padding in inches. Defaults to 3 pts. `wspace : scalar` Width padding between subplots, expressed as a fraction of the subplot width. The total padding ends up being w_pad + wspace. `hspace : scalar` Height padding between subplots, expressed as a fraction of the subplot width. The total padding ends up being h_pad + hspace.

w_pad : scalar: Width padding in inches. This is the pad around axes and is meant to make sure there is enough room for fonts to look good. Defaults to 3 pts = 0.04167 inches
h_pad : scalar: Height padding in inches. Defaults to 3 pts.
wspace : scalar: Width padding between subplots, expressed as a fraction of the subplot width. The total padding ends up being w_pad + wspace.
hspace : scalar: Height padding between subplots, expressed as a fraction of the subplot width. The total padding ends up being h_pad + hspace.

set_dpi(self, val) [source]

Set the resolution of the figure in dots-per-inch.

Parameters:	`val : float`

set_edgecolor(self, color) [source]

Set the edge color of the Figure rectangle.

Parameters:	`color : color`

set_facecolor(self, color) [source]

Set the face color of the Figure rectangle.

Parameters:	`color : color`

set_figheight(self, val, forward=True) [source]

Set the height of the figure in inches.

Parameters:	`val : float` `forward : bool`

set_figwidth(self, val, forward=True) [source]

Set the width of the figure in inches.

Parameters:	`val : float` `forward : bool`

set_frameon(self, b) [source]

Set the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.set_visible().

Parameters:	`b : bool`

set_size_inches(self, w, h=None, forward=True) [source]

Set the figure size in inches.

Call signatures:

fig.set_size_inches(w, h)  # OR
fig.set_size_inches((w, h))

optional kwarg forward=True will cause the canvas size to be automatically updated; e.g., you can resize the figure window from the shell

ACCEPTS: a (w, h) tuple with w, h in inches

See also

matplotlib.Figure.get_size_inches

set_tight_layout(self, tight) [source]

Set whether and how tight_layout is called when drawing.

Parameters:	`tight : bool or dict with keys "pad", "w_pad", "h_pad", "rect" or None` If a bool, sets whether to call `tight_layout` upon drawing. If `None`, use the `figure.autolayout` rcparam instead. If a dict, pass it as kwargs to `tight_layout`, overriding the default paddings.

show(self, warn=True) [source]

If using a GUI backend with pyplot, display the figure window.

If the figure was not created using figure(), it will lack a FigureManagerBase, and will raise an AttributeError.

Warning

This does not manage an GUI event loop. Consequently, the figure may only be shown briefly or not shown at all if you or your environment are not managing an event loop.

Proper use cases for Figure.show include running this from a GUI application or an IPython shell.

If you're running a pure python shell or executing a non-GUI python script, you should use matplotlib.pyplot.show instead, which takes care of managing the event loop for you.

Parameters:	`warn : bool` If `True` and we are not running headless (i.e. on Linux with an unset DISPLAY), issue warning when called on a non-GUI backend.

subplots(self, nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None) [source]

Add a set of subplots to this figure.

This utility wrapper makes it convenient to create common layouts of subplots in a single call.

Parameters:

Parameters:	`nrows, ncols : int, optional, default: 1` Number of rows/columns of the subplot grid. `sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False` Controls sharing of properties among x (`sharex`) or y (`sharey`) axes: True or 'all': x- or y-axis will be shared among all subplots. False or 'none': each subplot x- or y-axis will be independent. 'row': each subplot row will share an x- or y-axis. 'col': each subplot column will share an x- or y-axis. When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. To later turn other subplots' ticklabels on, use `tick_params`. `squeeze : bool, optional, default: True` If True, extra dimensions are squeezed out from the returned array of Axes: if only one subplot is constructed (nrows=ncols=1), the resulting single Axes object is returned as a scalar. for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects. for NxM, subplots with N>1 and M>1 are returned as a 2D array. If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1. `subplot_kw : dict, optional` Dict with keywords passed to the `add_subplot()` call used to create each subplot. `gridspec_kw : dict, optional` Dict with keywords passed to the `GridSpec` constructor used to create the grid the subplots are placed on.
Returns:	`ax : Axes object or array of Axes objects.` ax can be either a single `Axes` object or an array of Axes objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above.

nrows, ncols : int, optional, default: 1

Number of rows/columns of the subplot grid.

sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False

Controls sharing of properties among x (sharex) or y (sharey) axes:

True or 'all': x- or y-axis will be shared among all subplots.
False or 'none': each subplot x- or y-axis will be independent.
'row': each subplot row will share an x- or y-axis.
'col': each subplot column will share an x- or y-axis.

When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. To later turn other subplots' ticklabels on, use tick_params.

squeeze : bool, optional, default: True

If True, extra dimensions are squeezed out from the returned array of Axes:
- if only one subplot is constructed (nrows=ncols=1), the resulting single Axes object is returned as a scalar.
- for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects.
- for NxM, subplots with N>1 and M>1 are returned as a 2D array.
If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1.

subplot_kw : dict, optional

Dict with keywords passed to the add_subplot() call used to create each subplot.

gridspec_kw : dict, optional

Dict with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on.

Returns:

ax : Axes object or array of Axes objects.: ax can be either a single Axes object or an array of Axes objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above.

Examples

# First create some toy data:
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

# Create a figure
plt.figure()

# Creates a subplot
ax = fig.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')

# Creates two subplots and unpacks the output array immediately
ax1, ax2 = fig.subplots(1, 2, sharey=True)
ax1.plot(x, y)
ax1.set_title('Sharing Y axis')
ax2.scatter(x, y)

# Creates four polar axes, and accesses them through the
# returned array
axes = fig.subplots(2, 2, subplot_kw=dict(polar=True))
axes[0, 0].plot(x, y)
axes[1, 1].scatter(x, y)

# Share a X axis with each column of subplots
fig.subplots(2, 2, sharex='col')

# Share a Y axis with each row of subplots
fig.subplots(2, 2, sharey='row')

# Share both X and Y axes with all subplots
fig.subplots(2, 2, sharex='all', sharey='all')

# Note that this is the same as
fig.subplots(2, 2, sharex=True, sharey=True)

subplots_adjust(self, left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) [source]: Update the SubplotParams with kwargs (defaulting to rc when None) and update the subplot locations.

suptitle(self, t, **kwargs) [source]

Add a centered title to the figure.

Parameters:	`t : str` The title text. `x : float, default 0.5` The x location of the text in figure coordinates. `y : float, default 0.98` The y location of the text in figure coordinates. `horizontalalignment, ha : {'center', 'left', right'}, default: 'center'` The horizontal alignment of the text relative to (x, y). `verticalalignment, va : {'top', 'center', 'bottom', 'baseline'}, default: 'top'` The vertical alignment of the text relative to (x, y). `fontsize, size : default: rcParams["figure.titlesize"]` The font size of the text. See `Text.set_size` for possible values. `fontweight, weight : default: rcParams["figure.titleweight"]` The font weight of the text. See `Text.set_weight` for possible values.
Returns:	text The `Text` instance of the title.
Other Parameters:	`fontproperties : None or dict, optional` A dict of font properties. If fontproperties is given the default values for font size and weight are taken from the `FontProperties` defaults. `rcParams["figure.titlesize"]` and `rcParams["figure.titleweight"]` are ignored in this case. **kwargs Additional kwargs are `matplotlib.text.Text` properties.

Examples

>>> fig.suptitle('This is the figure title', fontsize=12)

text(self, x, y, s, fontdict=None, withdash=<deprecated parameter>, **kwargs) [source]

Add text to figure.

Parameters:

x, y : float: The position to place the text. By default, this is in figure coordinates, floats in [0, 1]. The coordinate system can be changed using the transform keyword.
s : str: The text string.
fontdict : dictionary, optional, default: None: A dictionary to override the default text properties. If fontdict is None, the defaults are determined by your rc parameters. A property in kwargs override the same property in fontdict.
withdash : boolean, optional, default: False: Creates a TextWithDash instance instead of a Text instance.

Returns:

text : Text

Other Parameters:

**kwargs : Text properties

Other miscellaneous text parameters.

Property	Description
`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`	float
`animated`	bool
`backgroundcolor`	color
`bbox`	dict with properties for `patches.FancyBboxPatch`
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	[(`Path`, `Transform`) \| `Patch` \| None]
`color` or c	color
`contains`	callable
`figure`	`Figure`
`fontfamily` or family	{FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}
`fontproperties` or font_properties	`font_manager.FontProperties`
`fontsize` or size	{size in points, 'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}
`fontstretch` or stretch	{a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}
`fontstyle` or style	{'normal', 'italic', 'oblique'}
`fontvariant` or variant	{'normal', 'small-caps'}
`fontweight` or weight	{a numeric value in range 0-1000, 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'}
`gid`	str
`horizontalalignment` or ha	{'center', 'right', 'left'}
`in_layout`	bool
`label`	object
`linespacing`	float (multiple of font size)
`multialignment` or ma	{'left', 'right', 'center'}
`path_effects`	`AbstractPathEffect`
`picker`	None or bool or float or callable
`position`	(float, float)
`rasterized`	bool or None
`rotation`	{angle in degrees, 'vertical', 'horizontal'}
`rotation_mode`	{None, 'default', 'anchor'}
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`text`	object
`transform`	`Transform`
`url`	str
`usetex`	bool or None
`verticalalignment` or va	{'center', 'top', 'bottom', 'baseline', 'center_baseline'}
`visible`	bool
`wrap`	bool
`x`	float
`y`	float
`zorder`	float

See also

Axes.text
pyplot.text

tight_layout(self, renderer=None, pad=1.08, h_pad=None, w_pad=None, rect=None) [source]

Automatically adjust subplot parameters to give specified padding.

To exclude an artist on the axes from the bounding box calculation that determines the subplot parameters (i.e. legend, or annotation), then set a.set_in_layout(False) for that artist.

Parameters:

Parameters:	`renderer : subclass of RendererBase, optional` Defaults to the renderer for the figure. `pad : float, optional` Padding between the figure edge and the edges of subplots, as a fraction of the font size. `h_pad, w_pad : float, optional` Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. Defaults to pad. `rect : tuple (left, bottom, right, top), optional` A rectangle (left, bottom, right, top) in the normalized figure coordinate that the whole subplots area (including labels) will fit into. Default is (0, 0, 1, 1).

renderer : subclass of RendererBase, optional: Defaults to the renderer for the figure.
pad : float, optional: Padding between the figure edge and the edges of subplots, as a fraction of the font size.
h_pad, w_pad : float, optional: Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. Defaults to pad.
rect : tuple (left, bottom, right, top), optional: A rectangle (left, bottom, right, top) in the normalized figure coordinate that the whole subplots area (including labels) will fit into. Default is (0, 0, 1, 1).