figure

matplotlib.figure

The figure module provides the top-level Artist, the Figure, which contains all the plot elements. The following classes are defined

SubplotParams: control the default spacing of the subplots
Figure: top level container for all plot elements

class matplotlib.figure.AxesStack

Bases: matplotlib.cbook.Stack

Specialization of the Stack to handle all tracking of Axes in a Figure. This stack stores key, (ind, axes) pairs, where:

key should be a hash of the args and kwargs used in generating the Axes.
ind is a serial number for tracking the order in which axes were added.

The AxesStack is a callable, where ax_stack() returns the current axes. Alternatively the current_key_axes() will return the current key and associated axes.

add(key, a)

Add Axes a, with key key, to the stack, and return the stack.

If a is already on the stack, don’t add it again, but return None.

as_list(): Return a list of the Axes instances that have been added to the figure

bubble(a): Move the given axes, which must already exist in the stack, to the top.

current_key_axes()

Return a tuple of (key, axes) for the active axes.

If no axes exists on the stack, then returns (None, None).

get(key): Return the Axes instance that was added with key. If it is not present, return None.

remove(a): Remove the axes from the stack.

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

Bases: matplotlib.artist.Artist

The Figure instance supports callbacks through a callbacks attribute which is a matplotlib.cbook.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.

patch: The figure patch is drawn by a matplotlib.patches.Rectangle instance
suppressComposite: For multiple figure images, the figure will make composite images depending on the renderer option_image_nocomposite function. If suppressComposite is True|False, this will override the renderer.
figsize: w,h tuple in inches
dpi: Dots per inch
facecolor: The figure patch facecolor; defaults to rc figure.facecolor
edgecolor: The figure patch edge color; defaults to rc figure.edgecolor
linewidth: The figure patch edge linewidth; the default linewidth of the frame
frameon: If False, suppress drawing the figure frame
subplotpars: A SubplotParams instance, defaults to rc
tight_layout: 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. Defaults to rc figure.autolayout.

add_axes(*args, **kwargs)

Add an axes at position rect [left, bottom, width, height] where all quantities are in fractions of figure width and height. kwargs are legal Axes kwargs plus projection which sets the projection type of the axes. (For backward compatibility, polar=True may also be provided, which is equivalent to projection='polar'). Valid values for projection are: [‘aitoff’, ‘hammer’, ‘lambert’, ‘mollweide’, ‘polar’, ‘rectilinear’]. Some of these projections support additional kwargs, which may be provided to add_axes(). Typical usage:

rect = l,b,w,h
fig.add_axes(rect)
fig.add_axes(rect, frameon=False, axisbg='g')
fig.add_axes(rect, polar=True)
fig.add_axes(rect, projection='polar')
fig.add_axes(ax)

If the figure already has an axes with the same parameters, then it will simply make that axes current and return it. If you do not want this behavior, e.g., 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. e.g., if you want two axes that are otherwise identical to be added to the figure, make sure you give them unique labels:

fig.add_axes(rect, label='axes1')
fig.add_axes(rect, label='axes2')

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. For example, if an axes has been removed with delaxes(), it can be restored with:

fig.add_axes(ax)

In all cases, the Axes instance will be returned.

In addition to projection, the following kwargs are supported:

Property	Description
`adjustable`	[ ‘box’ \| ‘datalim’ \| ‘box-forced’]
`agg_filter`	unknown
`alpha`	float (0.0 transparent through 1.0 opaque)
`anchor`	unknown
`animated`	[True \| False]
`aspect`	unknown
`autoscale_on`	unknown
`autoscalex_on`	unknown
`autoscaley_on`	unknown
`axes`	an `Axes` instance
`axes_locator`	unknown
`axis_bgcolor`	any matplotlib color - see `colors()`
`axisbelow`	[ True \| False ]
`clip_box`	a `matplotlib.transforms.Bbox` instance
`clip_on`	[True \| False]
`clip_path`	[ (`Path`, `Transform`) \| `Patch` \| None ]
`color_cycle`	unknown
`contains`	a callable function
`figure`	unknown
`frame_on`	[ True \| False ]
`gid`	an id string
`label`	string or anything printable with ‘%s’ conversion.
`navigate`	[ True \| False ]
`navigate_mode`	unknown
`path_effects`	unknown
`picker`	[None\|float\|boolean\|callable]
`position`	unknown
`rasterization_zorder`	unknown
`rasterized`	[True \| False \| None]
`sketch_params`	unknown
`snap`	unknown
`title`	unknown
`transform`	`Transform` instance
`url`	a url string
`visible`	[True \| False]
`xbound`	unknown
`xlabel`	unknown
`xlim`	length 2 sequence of floats
`xmargin`	unknown
`xscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`xticklabels`	sequence of strings
`xticks`	sequence of floats
`ybound`	unknown
`ylabel`	unknown
`ylim`	length 2 sequence of floats
`ymargin`	unknown
`yscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`yticklabels`	sequence of strings
`yticks`	sequence of floats
`zorder`	any number

add_axobserver(func): whenever the axes state change, func(self) will be called

add_subplot(*args, **kwargs)

Add a subplot. Examples:

fig.add_subplot(111)

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

# add subplot with red background
fig.add_subplot(212, axisbg='r')

# add a polar subplot
fig.add_subplot(111, projection='polar')

# add Subplot instance sub
fig.add_subplot(sub)

kwargs are legal Axes kwargs plus projection, which chooses a projection type for the axes. (For backward compatibility, polar=True may also be provided, which is equivalent to projection=’polar’). Valid values for projection are: [‘aitoff’, ‘hammer’, ‘lambert’, ‘mollweide’, ‘polar’, ‘rectilinear’]. Some of these projections support additional kwargs, which may be provided to add_axes().

The Axes instance will be returned.

If the figure already has a subplot with key (args, kwargs) then it will simply make that subplot current and return it.

See also

subplot() for an explanation of the args.

The following kwargs are supported:

Property	Description
`adjustable`	[ ‘box’ \| ‘datalim’ \| ‘box-forced’]
`agg_filter`	unknown
`alpha`	float (0.0 transparent through 1.0 opaque)
`anchor`	unknown
`animated`	[True \| False]
`aspect`	unknown
`autoscale_on`	unknown
`autoscalex_on`	unknown
`autoscaley_on`	unknown
`axes`	an `Axes` instance
`axes_locator`	unknown
`axis_bgcolor`	any matplotlib color - see `colors()`
`axisbelow`	[ True \| False ]
`clip_box`	a `matplotlib.transforms.Bbox` instance
`clip_on`	[True \| False]
`clip_path`	[ (`Path`, `Transform`) \| `Patch` \| None ]
`color_cycle`	unknown
`contains`	a callable function
`figure`	unknown
`frame_on`	[ True \| False ]
`gid`	an id string
`label`	string or anything printable with ‘%s’ conversion.
`navigate`	[ True \| False ]
`navigate_mode`	unknown
`path_effects`	unknown
`picker`	[None\|float\|boolean\|callable]
`position`	unknown
`rasterization_zorder`	unknown
`rasterized`	[True \| False \| None]
`sketch_params`	unknown
`snap`	unknown
`title`	unknown
`transform`	`Transform` instance
`url`	a url string
`visible`	[True \| False]
`xbound`	unknown
`xlabel`	unknown
`xlim`	length 2 sequence of floats
`xmargin`	unknown
`xscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`xticklabels`	sequence of strings
`xticks`	sequence of floats
`ybound`	unknown
`ylabel`	unknown
`ylim`	length 2 sequence of floats
`ymargin`	unknown
`yscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`yticklabels`	sequence of strings
`yticks`	sequence of floats
`zorder`	any number

autofmt_xdate(bottom=0.2, rotation=30, ha='right')

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.

bottom: The bottom of the subplots for subplots_adjust()
rotation: The rotation of the xtick labels
ha: The horizontal alignment of the xticklabels

axes: Read-only: list of axes in Figure

clear(): Clear the figure – synonym for clf().

clf(keep_observers=False)

Clear the figure.

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

colorbar(mappable, cax=None, ax=None, use_gridspec=True, **kw)

Create a colorbar for a ScalarMappable instance, mappable.

Documentation for the pylab 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)

arguments:

mappable: the Image, ContourSet, etc. to which the colorbar applies; this argument is mandatory for the colorbar() method but optional for the colorbar() function, which sets the default to the current image.

keyword arguments:

cax: None | axes object into which the colorbar will be drawn
ax: None | parent axes object(s) 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: False | 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 grid_spec module.

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 shrink 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	[ False \| True ] 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	[ False \| True ] If true, 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.

Note that the shrink kwarg provides a simple way to keep a vertical colorbar, for example, from being taller than the axes of the mappable to which the colorbar is attached; but it is a manual method requiring some trial and error. If the colorbar is too tall (or a horizontal colorbar is too wide) use a smaller value of shrink.

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 viewer (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. Particularly with semi transparent images (alpha < 1) and colorbar extensions and is not enabled by default see (issue #1188).

returns:: Colorbar instance; see also its base class, ColorbarBase. Call the set_label() method to label the colorbar.

contains(mouseevent)

Test whether the mouse event occurred on the figure.

Returns True,{}

delaxes(a): remove a from the figure and update the current axes

dpi

draw(artist, renderer, *args, **kwargs): Render the figure using matplotlib.backend_bases.RendererBase instance renderer.

draw_artist(a): draw matplotlib.artist.Artist instance a only – this is available only after the figure is drawn

figimage(X, xo=0, yo=0, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, origin=None, resize=False, **kwargs)

Adds a non-resampled image to the figure.

call signatures:

figimage(X, **kwargs)

adds a non-resampled array X to the figure.

figimage(X, xo, yo)

with pixel offsets xo, yo,

X must be a float array:

If X is MxN, assume luminance (grayscale)
If X is MxNx3, assume RGB
If X is MxNx4, assume RGBA

Optional keyword arguments:

Keyword	Description
resize	a boolean, True or False. If “True”, then re-size the Figure to match the given image size.
xo or yo	An integer, the x and y image offset in pixels
cmap	a `matplotlib.colors.Colormap` instance, e.g., cm.jet. If None, default to the rc `image.cmap` value
norm	a `matplotlib.colors.Normalize` instance. The default is normalization(). This scales luminance -> 0-1
vmin\|vmax	are used to scale a luminance image to 0-1. If either is None, the min and max of the luminance values will be used. Note if you pass a norm instance, the settings for vmin and vmax will be ignored.
alpha	the alpha blending value, default is None
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 the rc image.origin value

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 size [0,1,0,1].

An matplotlib.image.FigureImage instance is returned.

(Source code, png, hires.png, pdf)

Additional kwargs are Artist kwargs passed on to FigureImage

gca(**kwargs)

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’ \| ‘box-forced’]
`agg_filter`	unknown
`alpha`	float (0.0 transparent through 1.0 opaque)
`anchor`	unknown
`animated`	[True \| False]
`aspect`	unknown
`autoscale_on`	unknown
`autoscalex_on`	unknown
`autoscaley_on`	unknown
`axes`	an `Axes` instance
`axes_locator`	unknown
`axis_bgcolor`	any matplotlib color - see `colors()`
`axisbelow`	[ True \| False ]
`clip_box`	a `matplotlib.transforms.Bbox` instance
`clip_on`	[True \| False]
`clip_path`	[ (`Path`, `Transform`) \| `Patch` \| None ]
`color_cycle`	unknown
`contains`	a callable function
`figure`	unknown
`frame_on`	[ True \| False ]
`gid`	an id string
`label`	string or anything printable with ‘%s’ conversion.
`navigate`	[ True \| False ]
`navigate_mode`	unknown
`path_effects`	unknown
`picker`	[None\|float\|boolean\|callable]
`position`	unknown
`rasterization_zorder`	unknown
`rasterized`	[True \| False \| None]
`sketch_params`	unknown
`snap`	unknown
`title`	unknown
`transform`	`Transform` instance
`url`	a url string
`visible`	[True \| False]
`xbound`	unknown
`xlabel`	unknown
`xlim`	length 2 sequence of floats
`xmargin`	unknown
`xscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`xticklabels`	sequence of strings
`xticks`	sequence of floats
`ybound`	unknown
`ylabel`	unknown
`ylim`	length 2 sequence of floats
`ymargin`	unknown
`yscale`	[‘linear’ \| ‘log’ \| ‘logit’ \| ‘symlog’]
`yticklabels`	sequence of strings
`yticks`	sequence of floats
`zorder`	any number

get_axes()

get_children(): get a list of artists contained in the figure

get_default_bbox_extra_artists()

get_dpi(): Return the dpi as a float

get_edgecolor(): Get the edge color of the Figure rectangle

get_facecolor(): Get the face color of the Figure rectangle

get_figheight(): Return the figheight as a float

get_figwidth(): Return the figwidth as a float

get_frameon(): get the boolean indicating frameon

get_size_inches()

Returns the current size of the figure in inches (1in == 2.54cm) as an numpy array.

Returns:

Returns:	size : ndarray The size of the figure in inches

size : ndarray

The size of the figure in inches

See also

matplotlib.Figure.set_size_inches

get_tight_layout(): Return the Boolean flag, True to use :meth`tight_layout` when drawing.

get_tightbbox(renderer)

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

It only accounts axes title, axis labels, and axis ticklabels. Needs improvement.

get_window_extent(*args, **kwargs): get the figure bounding box in display space; kwargs are void

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

Call signature:

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

Blocking call to interact with the figure.

This will wait for n clicks from the user and return a list of the coordinates of each click.

If timeout is zero or negative, does not timeout.

If n is zero or negative, accumulate clicks until a middle click (or potentially both mouse buttons at once) terminates the input.

Right clicking cancels last input.

The buttons used for the various actions (adding points, removing points, terminating the inputs) can be overriden via the arguments mouse_add, mouse_pop and mouse_stop, that give the associated mouse button: 1 for left, 2 for middle, 3 for right.

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.

hold(b=None)

Set the hold state. If hold is None (default), toggle the hold state. Else set the hold state to boolean value b.

e.g.:

hold()      # toggle hold
hold(True)  # hold is on
hold(False) # hold is off

legend(handles, labels, *args, **kwargs)

Place a legend in the figure. Labels are a sequence of strings, handles is a sequence of Line2D or Patch instances, and loc can be a string or an integer specifying the legend location

USAGE:

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

The loc location codes are:

'best' : 0,          (currently not supported for figure legends)
'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,

loc can also be an (x,y) tuple in figure coords, which specifies the lower left of the legend box. figure coords are (0,0) is the left, bottom of the figure and 1,1 is the right, top.

Keyword arguments:

prop: [ None | FontProperties | dict ]: A matplotlib.font_manager.FontProperties instance. If prop is a dictionary, a new instance will be created with prop. If None, use rc settings.
numpoints: integer: The number of points in the legend line, default is 4
scatterpoints: integer: The number of points in the legend line, default is 4
scatteryoffsets: list of floats: a list of yoffsets for scatter symbols in legend
markerscale: [ None | scalar ]: The relative size of legend markers vs. original. If None, use rc settings.
markerfirst: [ True | False ]: 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
fancybox: [ None | False | True ]: if True, draw a frame with a round fancybox. If None, use rc
shadow: [ None | False | True ]: If True, draw a shadow behind legend. If None, use rc settings.
ncol: number of columns. default is 1
mode: if mode is “expand”, the legend will be horizontally expanded to fill the axes area (or bbox_to_anchor)
title: the legend title

Padding and spacing between various elements use following keywords parameters. The dimensions of these values are given as a fraction of the fontsize. Values from rcParams will be used if None.

Keyword	Description
borderpad	the fractional whitespace inside the legend border
labelspacing	the vertical space between the legend entries
handlelength	the length of the legend handles
handletextpad	the pad between the legend handle and text
borderaxespad	the pad between the axes and legend border
columnspacing	the spacing between columns

Note

Not all kinds of artist are supported by the legend. See LINK (FIXME) for details.

Example:

(Source code, png, hires.png, pdf)

savefig(*args, **kwargs)

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)

The output formats available depend on the backend being used.

Arguments:

fname:

A string containing a path to a filename, or a Python file-like object, or possibly some backend-dependent object such as PdfPages.

If format is None and fname is a string, the output format is deduced from the extension of the filename. If the filename has no extension, the value of the rc parameter savefig.format is used.

If fname is not a string, remember to specify format to ensure that the correct backend is used.

Keyword arguments:

dpi: [ None | scalar > 0 | ‘figure’]: The resolution in dots per inch. If None it will default to the value savefig.dpi in the matplotlibrc file. If ‘figure’ it will set the dpi to be the value of the figure.
facecolor, edgecolor:: the colors of the figure rectangle
orientation: [ ‘landscape’ | ‘portrait’ ]: not supported on all backends; currently only on postscript output
papertype:: One of ‘letter’, ‘legal’, ‘executive’, ‘ledger’, ‘a0’ through ‘a10’, ‘b0’ through ‘b10’. Only supported for postscript output.
format:: One of the file extensions supported by the active backend. Most backends support png, pdf, ps, eps and svg.
transparent:: 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.
frameon:: If True, the figure patch will be colored, if False, the figure background will be transparent. If not provided, the rcParam ‘savefig.frameon’ will be used.
bbox_inches:: Bbox in inches. Only the given portion of the figure is saved. If ‘tight’, try to figure out the tight bbox of the figure.
pad_inches:: Amount of padding around the figure when bbox_inches is ‘tight’.
bbox_extra_artists:: A list of extra artists that will be considered when the tight bbox is calculated.

sca(a): Set the current axes to be a and return a

set_canvas(canvas)

Set the canvas that contains the figure

ACCEPTS: a FigureCanvas instance

set_dpi(val)

Set the dots-per-inch of the figure

ACCEPTS: float

set_edgecolor(color)

Set the edge color of the Figure rectangle

ACCEPTS: any matplotlib color - see help(colors)

set_facecolor(color)

Set the face color of the Figure rectangle

ACCEPTS: any matplotlib color - see help(colors)

set_figheight(val, forward=False)

Set the height of the figure in inches

ACCEPTS: float

set_figwidth(val, forward=False)

Set the width of the figure in inches

ACCEPTS: float

set_frameon(b)

Set whether the figure frame (background) is displayed or invisible

ACCEPTS: boolean

set_size_inches(w, h, forward=False)

Set the figure size in inches (1in == 2.54cm)

Usage:

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

Property	Description
`agg_filter`	unknown
`alpha`	float (0.0 transparent through 1.0 opaque)
`animated`	[True \| False]
`axes`	an `Axes` instance
`backgroundcolor`	any matplotlib color
`bbox`	FancyBboxPatch prop dict
`clip_box`	a `matplotlib.transforms.Bbox` instance
`clip_on`	[True \| False]
`clip_path`	[ (`Path`, `Transform`) \| `Patch` \| None ]
`color`	any matplotlib color
`contains`	a callable function
`family` or fontname or fontfamily or name	[FONTNAME \| ‘serif’ \| ‘sans-serif’ \| ‘cursive’ \| ‘fantasy’ \| ‘monospace’ ]
`figure`	a `matplotlib.figure.Figure` instance
`fontproperties` or font_properties	a `matplotlib.font_manager.FontProperties` instance
`gid`	an id string
`horizontalalignment` or ha	[ ‘center’ \| ‘right’ \| ‘left’ ]
`label`	string or anything printable with ‘%s’ conversion.
`linespacing`	float (multiple of font size)
`multialignment`	[‘left’ \| ‘right’ \| ‘center’ ]
`path_effects`	unknown
`picker`	[None\|float\|boolean\|callable]
`position`	(x,y)
`rasterized`	[True \| False \| None]
`rotation`	[ angle in degrees \| ‘vertical’ \| ‘horizontal’ ]
`rotation_mode`	unknown
`size` or fontsize	[size in points \| ‘xx-small’ \| ‘x-small’ \| ‘small’ \| ‘medium’ \| ‘large’ \| ‘x-large’ \| ‘xx-large’ ]
`sketch_params`	unknown
`snap`	unknown
`stretch` or fontstretch	[a numeric value in range 0-1000 \| ‘ultra-condensed’ \| ‘extra-condensed’ \| ‘condensed’ \| ‘semi-condensed’ \| ‘normal’ \| ‘semi-expanded’ \| ‘expanded’ \| ‘extra-expanded’ \| ‘ultra-expanded’ ]
`style` or fontstyle	[ ‘normal’ \| ‘italic’ \| ‘oblique’]
`text`	string or anything printable with ‘%s’ conversion.
`transform`	`Transform` instance
`url`	a url string
`usetex`	unknown
`variant` or fontvariant	[ ‘normal’ \| ‘small-caps’ ]
`verticalalignment` or ma or va	[ ‘center’ \| ‘top’ \| ‘bottom’ \| ‘baseline’ ]
`visible`	[True \| False]
`weight` or fontweight	[a numeric value in range 0-1000 \| ‘ultralight’ \| ‘light’ \| ‘normal’ \| ‘regular’ \| ‘book’ \| ‘medium’ \| ‘roman’ \| ‘semibold’ \| ‘demibold’ \| ‘demi’ \| ‘bold’ \| ‘heavy’ \| ‘extra bold’ \| ‘black’ ]
`wrap`	unknown
`x`	float