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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>matplotlib.pyplot — Matplotlib 2.2.4 documentation</title>

type="text/css" />

type="text/css" />

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title="Search within Matplotlib 2.2.4 documentation"

href="../../_static/opensearch.xml"/>

</head>

<body>

<div id="unreleased-message"> You are reading an old version of the documentation (v2.2.4). For the latest version see <a href="/stable/">https://matplotlib.org/stable/</a> </div>

<div style="float: left; position: absolute; width: 496px; bottom: 0; padding-bottom: 24px">Version 2.2.4</div>

<div id="forkongithub"><a href="https://github.com/matplotlib/matplotlib">Fork me on GitHub</a></div>

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<h1>Source code for matplotlib.pyplot</h1><div class="highlight"><pre>

# Note: The first part of this file can be modified in place, but the latter

# part is autogenerated by the boilerplate.py script.

"""

`matplotlib.pyplot` is a state-based interface to matplotlib. It provides

a MATLAB-like way of plotting.

pyplot is mainly intended for interactive plots and simple cases of programmatic

plot generation::

import numpy as np

import matplotlib.pyplot as plt

x = np.arange(0, 5, 0.1)

y = np.sin(x)

plt.plot(x, y)

The object-oriented API is recommended for more complex plots.

"""

from __future__ import (absolute_import, division, print_function,

unicode_literals)

import six

import sys

import time

import warnings

from cycler import cycler

import matplotlib

import matplotlib.colorbar

from matplotlib import style

from matplotlib import _pylab_helpers, interactive

from matplotlib.cbook import dedent, silent_list, is_numlike

from matplotlib.cbook import _string_to_bool

from matplotlib.cbook import deprecated, warn_deprecated

from matplotlib import docstring

from matplotlib.backend_bases import FigureCanvasBase

from matplotlib.figure import Figure, figaspect

from matplotlib.gridspec import GridSpec

from matplotlib.image import imread as _imread

from matplotlib.image import imsave as _imsave

from matplotlib import rcParams, rcParamsDefault, get_backend

from matplotlib import rc_context

from matplotlib.rcsetup import interactive_bk as _interactive_bk

from matplotlib.artist import getp, get, Artist

from matplotlib.artist import setp as _setp

from matplotlib.axes import Axes, Subplot

from matplotlib.projections import PolarAxes

from matplotlib import mlab # for csv2rec, detrend_none, window_hanning

from matplotlib.scale import get_scale_docs, get_scale_names

from matplotlib import cm

from matplotlib.cm import get_cmap, register_cmap

import numpy as np

# We may not need the following imports here:

from matplotlib.colors import Normalize

from matplotlib.lines import Line2D

from matplotlib.text import Text, Annotation

from matplotlib.patches import Polygon, Rectangle, Circle, Arrow

from matplotlib.widgets import SubplotTool, Button, Slider, Widget

from .ticker import TickHelper, Formatter, FixedFormatter, NullFormatter,\

FuncFormatter, FormatStrFormatter, ScalarFormatter,\

LogFormatter, LogFormatterExponent, LogFormatterMathtext,\

Locator, IndexLocator, FixedLocator, NullLocator,\

LinearLocator, LogLocator, AutoLocator, MultipleLocator,\

MaxNLocator

from matplotlib.backends import pylab_setup

## Backend detection ##

def _backend_selection():

""" If rcParams['backend_fallback'] is true, check to see if the

current backend is compatible with the current running event

loop, and if not switches to a compatible one.

"""

backend = rcParams['backend']

if not rcParams['backend_fallback'] or backend not in _interactive_bk:

return

is_agg_backend = rcParams['backend'].endswith('Agg')

if 'wx' in sys.modules and not backend in ('WX', 'WXAgg'):

import wx

if wx.App.IsMainLoopRunning():

rcParams['backend'] = 'wx' + 'Agg' * is_agg_backend

elif 'PyQt4.QtCore' in sys.modules and not backend == 'Qt4Agg':

import PyQt4.QtGui

if not PyQt4.QtGui.qApp.startingUp():

# The mainloop is running.

rcParams['backend'] = 'qt4Agg'

elif 'PyQt5.QtCore' in sys.modules and not backend == 'Qt5Agg':

import PyQt5.QtWidgets

if not PyQt5.QtWidgets.qApp.startingUp():

# The mainloop is running.

rcParams['backend'] = 'qt5Agg'

elif ('gtk' in sys.modules and

backend not in ('GTK', 'GTKAgg', 'GTKCairo')):

if 'gi' in sys.modules:

from gi.repository import GObject

ml = GObject.MainLoop

else:

import gobject

ml = gobject.MainLoop

if ml().is_running():

rcParams['backend'] = 'gtk' + 'Agg' * is_agg_backend

elif 'Tkinter' in sys.modules and not backend == 'TkAgg':

# import Tkinter

pass # what if anything do we need to do for tkinter?

_backend_selection()

## Global ##

_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()

_IP_REGISTERED = None

_INSTALL_FIG_OBSERVER = False

def install_repl_displayhook():

"""

Install a repl display hook so that any stale figure are automatically

redrawn when control is returned to the repl.

This works with IPython terminals and kernels,

as well as vanilla python shells.

"""

global _IP_REGISTERED

global _INSTALL_FIG_OBSERVER

class _NotIPython(Exception):

pass

# see if we have IPython hooks around, if use them

try:

if 'IPython' in sys.modules:

from IPython import get_ipython

ip = get_ipython()

if ip is None:

raise _NotIPython()

if _IP_REGISTERED:

return

def post_execute():

if matplotlib.is_interactive():

draw_all()

# IPython >= 2

try:

ip.events.register('post_execute', post_execute)

except AttributeError:

# IPython 1.x

ip.register_post_execute(post_execute)

_IP_REGISTERED = post_execute

_INSTALL_FIG_OBSERVER = False

# trigger IPython's eventloop integration, if available

from IPython.core.pylabtools import backend2gui

ipython_gui_name = backend2gui.get(get_backend())

if ipython_gui_name:

ip.enable_gui(ipython_gui_name)

else:

_INSTALL_FIG_OBSERVER = True

# import failed or ipython is not running

except (ImportError, _NotIPython):

_INSTALL_FIG_OBSERVER = True

def uninstall_repl_displayhook():

"""

Uninstalls the matplotlib display hook.

.. warning

Need IPython >= 2 for this to work. For IPython < 2 will raise a

``NotImplementedError``

.. warning

If you are using vanilla python and have installed another

display hook this will reset ``sys.displayhook`` to what ever

function was there when matplotlib installed it's displayhook,

possibly discarding your changes.

"""

global _IP_REGISTERED

global _INSTALL_FIG_OBSERVER

if _IP_REGISTERED:

from IPython import get_ipython

ip = get_ipython()

try:

ip.events.unregister('post_execute', _IP_REGISTERED)

except AttributeError:

raise NotImplementedError("Can not unregister events "

"in IPython < 2.0")

_IP_REGISTERED = None

if _INSTALL_FIG_OBSERVER:

_INSTALL_FIG_OBSERVER = False

draw_all = _pylab_helpers.Gcf.draw_all

@docstring.copy_dedent(Artist.findobj)

def findobj(o=None, match=None, include_self=True):

if o is None:

o = gcf()

return o.findobj(match, include_self=include_self)

def switch_backend(newbackend):

"""

Switch the default backend. This feature is **experimental**, and

is only expected to work switching to an image backend. e.g., if

you have a bunch of PostScript scripts that you want to run from

an interactive ipython session, you may want to switch to the PS

backend before running them to avoid having a bunch of GUI windows

popup. If you try to interactively switch from one GUI backend to

another, you will explode.

Calling this command will close all open windows.

"""

close('all')

global _backend_mod, new_figure_manager, draw_if_interactive, _show

matplotlib.use(newbackend, warn=False, force=True)

from matplotlib.backends import pylab_setup

<div class="viewcode-block" id="show"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show">[docs]</a>def show(*args, **kw):

"""

Display a figure.

When running in ipython with its pylab mode, display all

figures and return to the ipython prompt.

In non-interactive mode, display all figures and block until

the figures have been closed; in interactive mode it has no

effect unless figures were created prior to a change from

non-interactive to interactive mode (not recommended). In

that case it displays the figures but does not block.

A single experimental keyword argument, *block*, may be

set to True or False to override the blocking behavior

described above.

"""

global _show

return _show(*args, **kw)</div>

def isinteractive():

"""

Return status of interactive mode.

"""

return matplotlib.is_interactive()

def ioff():

"""Turn interactive mode off."""

matplotlib.interactive(False)

uninstall_repl_displayhook()

def ion():

"""Turn interactive mode on."""

matplotlib.interactive(True)

install_repl_displayhook()

def pause(interval):

"""

Pause for *interval* seconds.

If there is an active figure, it will be updated and displayed before the

pause, and the GUI event loop (if any) will run during the pause.

This can be used for crude animation. For more complex animation, see

:mod:`matplotlib.animation`.

Notes

-----

This function is experimental; its behavior may be changed or extended in a

future release.

"""

manager = _pylab_helpers.Gcf.get_active()

if manager is not None:

canvas = manager.canvas

if canvas.figure.stale:

canvas.draw_idle()

show(block=False)

canvas.start_event_loop(interval)

else:

time.sleep(interval)

<div class="viewcode-block" id="rc"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.rc.html#matplotlib.pyplot.rc">[docs]</a>@docstring.copy_dedent(matplotlib.rc)

def rc(*args, **kwargs):

matplotlib.rc(*args, **kwargs)</div>

<div class="viewcode-block" id="rc_context"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.rc_context.html#matplotlib.pyplot.rc_context">[docs]</a>@docstring.copy_dedent(matplotlib.rc_context)

def rc_context(rc=None, fname=None):

return matplotlib.rc_context(rc, fname)</div>

<div class="viewcode-block" id="rcdefaults"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.rcdefaults.html#matplotlib.pyplot.rcdefaults">[docs]</a>@docstring.copy_dedent(matplotlib.rcdefaults)

def rcdefaults():

matplotlib.rcdefaults()

if matplotlib.is_interactive():

draw_all()</div>

# The current "image" (ScalarMappable) is retrieved or set

# only via the pyplot interface using the following two

# functions:

def gci():

"""

Get the current colorable artist. Specifically, returns the

current :class:`~matplotlib.cm.ScalarMappable` instance (image or

patch collection), or *None* if no images or patch collections

have been defined. The commands :func:`~matplotlib.pyplot.imshow`

and :func:`~matplotlib.pyplot.figimage` create

:class:`~matplotlib.image.Image` instances, and the commands

:func:`~matplotlib.pyplot.pcolor` and

:func:`~matplotlib.pyplot.scatter` create

:class:`~matplotlib.collections.Collection` instances. The

current image is an attribute of the current axes, or the nearest

earlier axes in the current figure that contains an image.

"""

return gcf()._gci()

<div class="viewcode-block" id="sci"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.sci.html#matplotlib.pyplot.sci">[docs]</a>def sci(im):

"""

Set the current image. This image will be the target of colormap

commands like :func:`~matplotlib.pyplot.jet`,

:func:`~matplotlib.pyplot.hot` or

:func:`~matplotlib.pyplot.clim`). The current image is an

attribute of the current axes.

"""

gca()._sci(im)</div>

## Any Artist ##

# (getp is simply imported)

<div class="viewcode-block" id="setp"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.setp.html#matplotlib.pyplot.setp">[docs]</a>@docstring.copy(_setp)

def setp(*args, **kwargs):

return _setp(*args, **kwargs)</div>

def xkcd(scale=1, length=100, randomness=2):

"""

Turns on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode.

This will only have effect on things drawn after this function is

called.

For best results, the "Humor Sans" font should be installed: it is

not included with matplotlib.

Parameters

----------

scale : float, optional

The amplitude of the wiggle perpendicular to the source line.

length : float, optional

The length of the wiggle along the line.

randomness : float, optional

The scale factor by which the length is shrunken or expanded.

Notes

-----

This function works by a number of rcParams, so it will probably

override others you have set before.

If you want the effects of this function to be temporary, it can

be used as a context manager, for example::

with plt.xkcd():

# This figure will be in XKCD-style

fig1 = plt.figure()

# ...

# This figure will be in regular style

fig2 = plt.figure()

"""

if rcParams['text.usetex']:

raise RuntimeError(

"xkcd mode is not compatible with text.usetex = True")

from matplotlib import patheffects

return rc_context({

'font.family': ['xkcd', 'Humor Sans', 'Comic Sans MS'],

'font.size': 14.0,

'path.sketch': (scale, length, randomness),

'path.effects': [patheffects.withStroke(linewidth=4, foreground="w")],

'axes.linewidth': 1.5,

'lines.linewidth': 2.0,

'figure.facecolor': 'white',

'grid.linewidth': 0.0,

'axes.grid': False,

'axes.unicode_minus': False,

'axes.edgecolor': 'black',

'xtick.major.size': 8,

'xtick.major.width': 3,

'ytick.major.size': 8,

'ytick.major.width': 3,

})

## Figures ##

def figure(num=None, # autoincrement if None, else integer from 1-N

figsize=None, # defaults to rc figure.figsize

dpi=None, # defaults to rc figure.dpi

facecolor=None, # defaults to rc figure.facecolor

edgecolor=None, # defaults to rc figure.edgecolor

frameon=True,

FigureClass=Figure,

clear=False,

**kwargs

):

"""

Creates a new figure.

Parameters

----------

num : integer or string, optional, default: none

If not provided, a new figure will be created, and the figure number

will be incremented. The figure objects holds this number in a `number`

attribute.

If num is provided, and a figure with this id already exists, make

it active, and returns a reference to it. If this figure does not

exists, create it and returns it.

If num is a string, the window title will be set to this figure's

`num`.

figsize : tuple of integers, optional, default: None

width, height in inches. If not provided, defaults to rc

figure.figsize.

dpi : integer, optional, default: None

resolution of the figure. If not provided, defaults to rc figure.dpi.

facecolor :

the background color. If not provided, defaults to rc figure.facecolor.

edgecolor :

the border color. If not provided, defaults to rc figure.edgecolor.

frameon : bool, optional, default: True

If False, suppress drawing the figure frame.

FigureClass : class derived from matplotlib.figure.Figure

Optionally use a custom Figure instance.

clear : bool, optional, default: False

If True and the figure already exists, then it is cleared.

Returns

-------

figure : Figure

The Figure instance returned will also be passed to new_figure_manager

in the backends, which allows to hook custom Figure classes into the

pylab interface. Additional kwargs will be passed to the figure init

function.

Notes

-----

If you are creating many figures, make sure you explicitly call "close"

on the figures you are not using, because this will enable pylab

to properly clean up the memory.

rcParams defines the default values, which can be modified in the

matplotlibrc file

"""

if figsize is None:

figsize = rcParams['figure.figsize']

if dpi is None:

dpi = rcParams['figure.dpi']

if facecolor is None:

facecolor = rcParams['figure.facecolor']

if edgecolor is None:

edgecolor = rcParams['figure.edgecolor']

allnums = get_fignums()

next_num = max(allnums) + 1 if allnums else 1

figLabel = ''

if num is None:

num = next_num

elif isinstance(num, six.string_types):

figLabel = num

allLabels = get_figlabels()

if figLabel not in allLabels:

if figLabel == 'all':

warnings.warn("close('all') closes all existing figures")

num = next_num

else:

inum = allLabels.index(figLabel)

num = allnums[inum]

else:

num = int(num) # crude validation of num argument

figManager = _pylab_helpers.Gcf.get_fig_manager(num)

if figManager is None:

max_open_warning = rcParams['figure.max_open_warning']

if (max_open_warning >= 1 and len(allnums) >= max_open_warning):

warnings.warn(

"More than %d figures have been opened. Figures "

"created through the pyplot interface "

"(`matplotlib.pyplot.figure`) are retained until "

"explicitly closed and may consume too much memory. "

"(To control this warning, see the rcParam "

"`figure.max_open_warning`)." %

max_open_warning, RuntimeWarning)

if get_backend().lower() == 'ps':

dpi = 72

figManager = new_figure_manager(num, figsize=figsize,

dpi=dpi,

facecolor=facecolor,

edgecolor=edgecolor,

frameon=frameon,

FigureClass=FigureClass,

**kwargs)

if figLabel:

figManager.set_window_title(figLabel)

figManager.canvas.figure.set_label(figLabel)

# make this figure current on button press event

def make_active(event):

_pylab_helpers.Gcf.set_active(figManager)

cid = figManager.canvas.mpl_connect('button_press_event', make_active)

figManager._cidgcf = cid

fig = figManager.canvas.figure

fig.number = num

# make sure backends (inline) that we don't ship that expect this

# to be called in plotting commands to make the figure call show

# still work. There is probably a better way to do this in the

# FigureManager base class.

if matplotlib.is_interactive():

draw_if_interactive()

if _INSTALL_FIG_OBSERVER:

fig.stale_callback = _auto_draw_if_interactive

if clear:

return figManager.canvas.figure

def _auto_draw_if_interactive(fig, val):

"""

This is an internal helper function for making sure that auto-redrawing

works as intended in the plain python repl.

Parameters

----------

fig : Figure

A figure object which is assumed to be associated with a canvas

"""

if val and matplotlib.is_interactive() and not fig.canvas.is_saving():

fig.canvas.draw_idle()

def gcf():

"""Get a reference to the current figure."""

if figManager is not None:

return figManager.canvas.figure

else:

return figure()

def fignum_exists(num):

return _pylab_helpers.Gcf.has_fignum(num) or num in get_figlabels()

def get_fignums():

"""Return a list of existing figure numbers."""

return sorted(_pylab_helpers.Gcf.figs)

def get_figlabels():

"""Return a list of existing figure labels."""

figManagers = _pylab_helpers.Gcf.get_all_fig_managers()

figManagers.sort(key=lambda m: m.num)

return [m.canvas.figure.get_label() for m in figManagers]

def get_current_fig_manager():

if figManager is None:

gcf() # creates an active figure as a side effect

return figManager

@docstring.copy_dedent(FigureCanvasBase.mpl_connect)

def connect(s, func):

return get_current_fig_manager().canvas.mpl_connect(s, func)

def disconnect(cid):

return get_current_fig_manager().canvas.mpl_disconnect(cid)

def close(*args):

"""

Close a figure window.

``close()`` by itself closes the current figure

``close(fig)`` closes the `.Figure` instance *fig*

``close(num)`` closes the figure number *num*

``close(name)`` where *name* is a string, closes figure with that label

``close('all')`` closes all the figure windows

"""

if len(args) == 0:

if figManager is None:

return

else:

_pylab_helpers.Gcf.destroy(figManager.num)

elif len(args) == 1:

arg = args[0]

if arg == 'all':

_pylab_helpers.Gcf.destroy_all()

elif isinstance(arg, six.integer_types):

elif hasattr(arg, 'int'):

# if we are dealing with a type UUID, we

# can use its integer representation

_pylab_helpers.Gcf.destroy(arg.int)

allLabels = get_figlabels()

if arg in allLabels:

num = get_fignums()[allLabels.index(arg)]

elif isinstance(arg, Figure):

_pylab_helpers.Gcf.destroy_fig(arg)

else:

raise TypeError('Unrecognized argument type %s to close' % type(arg))

else:

raise TypeError('close takes 0 or 1 arguments')

def clf():

"""

Clear the current figure.

"""

gcf().clf()

def draw():

"""Redraw the current figure.

This is used to update a figure that has been altered, but not

automatically re-drawn. If interactive mode is on (:func:`.ion()`), this

should be only rarely needed, but there may be ways to modify the state of

a figure without marking it as `stale`. Please report these cases as

bugs.

A more object-oriented alternative, given any

:class:`~matplotlib.figure.Figure` instance, :attr:`fig`, that

was created using a :mod:`~matplotlib.pyplot` function, is::

fig.canvas.draw_idle()

"""

get_current_fig_manager().canvas.draw_idle()

<div class="viewcode-block" id="savefig"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.savefig.html#matplotlib.pyplot.savefig">[docs]</a>@docstring.copy_dedent(Figure.savefig)

def savefig(*args, **kwargs):

fig = gcf()

res = fig.savefig(*args, **kwargs)

fig.canvas.draw_idle() # need this if 'transparent=True' to reset colors

return res</div>

@docstring.copy_dedent(Figure.ginput)

def ginput(*args, **kwargs):

"""

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 negative, does not timeout.

"""

return gcf().ginput(*args, **kwargs)

def waitforbuttonpress(*args, **kwargs):

"""

Blocking call to interact with the figure.

This will wait for *n* key or mouse clicks from the user and

return a list containing True's for keyboard clicks and False's

for mouse clicks.

If *timeout* is negative, does not timeout.

"""

return gcf().waitforbuttonpress(*args, **kwargs)

# Putting things in figures

def figtext(*args, **kwargs):

return gcf().text(*args, **kwargs)

<div class="viewcode-block" id="suptitle"><a class="viewcode-back" href="../../api/_as_gen/matplotlib.pyplot.suptitle.html#matplotlib.pyplot.suptitle">[docs]</a>@docstring.copy_dedent(Figure.suptitle)

def suptitle(*args, **kwargs):

return gcf().suptitle(*args, **kwargs)</div>

def figimage(*args, **kwargs):

return gcf().figimage(*args, **kwargs)

def figlegend(*args, **kwargs):

"""

Place a legend in the figure.

*labels*

a sequence of strings

*handles*

a sequence of :class:`~matplotlib.lines.Line2D` or

:class:`~matplotlib.patches.Patch` instances

*loc*

can be a string or an integer specifying the legend

location

A :class:`matplotlib.legend.Legend` instance is returned.

Examples

--------

To make a legend from existing artists on every axes::

figlegend()

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

figlegend( (line1, line2, line3),

('label1', 'label2', 'label3'),

'upper right' )

.. seealso::

:func:`~matplotlib.pyplot.legend`

"""

return gcf().legend(*args, **kwargs)

## Figure and Axes hybrid ##

_hold_msg = """pyplot.hold is deprecated.

Future behavior will be consistent with the long-time default:

plot commands add elements without first clearing the

Axes and/or Figure."""

@deprecated("2.0", message=_hold_msg)

def hold(b=None):

"""

Set the hold state. If *b* is None (default), toggle the

hold state, else set the hold state to boolean value *b*::

hold() # toggle hold

hold(True) # hold is on

hold(False) # hold is off

When *hold* is *True*, subsequent plot commands will add elements to

the current axes. When *hold* is *False*, the current axes and

figure will be cleared on the next plot command.

"""

fig = gcf()

ax = fig.gca()

if b is not None:

b = bool(b)

fig._hold = b

ax._hold = b

# b=None toggles the hold state, so let's get get the current hold

# state; but should pyplot hold toggle the rc setting - me thinks

# not

b = ax._hold

# The comment above looks ancient; and probably the line below,

# contrary to the comment, is equally ancient. It will trigger

# a second warning, but "Oh, well...".

rc('axes', hold=b)

def ishold():

"""

Return the hold status of the current axes.

"""

return gca()._hold

def over(func, *args, **kwargs):

"""

Call a function with hold(True).

Calls::

func(*args, **kwargs)

with ``hold(True)`` and then restores the hold state.

"""

ax = gca()

h = ax._hold

ax._hold = True

func(*args, **kwargs)

ax._hold = h

## Axes ##

def axes(arg=None, **kwargs):

"""

Add an axes to the current figure and make it the current axes.

Parameters

----------

arg : None or 4-tuple or Axes

The exact behavior of this function depends on the type:

- *None*: A new full window axes is added using

``subplot(111, **kwargs)``

- 4-tuple of floats *rect* = ``[left, bottom, width, height]``.

A new axes is added with dimensions *rect* in normalized

(0, 1) units using `~.Figure.add_axes` on the current figure.

- `~matplotlib.axes.Axes`: This is equivalent to `.pyplot.sca`.

It sets the current axes to *arg*. Note: This implicitly

changes the current figure to the parent of *arg*.

.. note:: The use of an Axes as an argument is deprecated and will be

removed in v3.0. Please use `.pyplot.sca` instead.

Other Parameters

----------------

**kwargs :

For allowed keyword arguments see `.pyplot.subplot` and

`.Figure.add_axes` respectively. Some common keyword arguments are

listed below:

========= =========== =================================================

kwarg Accepts Description

========= =========== =================================================

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