Python artist.get方法代码示例

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def gca(**kwargs):
    """
    Get the current :class:`~matplotlib.axes.Axes` instance on the
    current figure matching the given keyword args, or create one.

    Examples
    ---------
    To get the current polar axes on the current figure::

        plt.gca(projection='polar')

    If the current axes doesn't exist, or isn't a polar one, the appropriate
    axes will be created and then returned.

    See Also
    --------
    matplotlib.figure.Figure.gca : The figure's gca method.
    """
    ax =  gcf().gca(**kwargs)
    return ax

# More ways of creating axes: 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def gca(**kwargs):
    """
    Get the current :class:`~matplotlib.axes.Axes` instance on the
    current figure matching the given keyword args, or create one.

    Examples
    --------
    To get the current polar axes on the current figure::

        plt.gca(projection='polar')

    If the current axes doesn't exist, or isn't a polar one, the appropriate
    axes will be created and then returned.

    See Also
    --------
    matplotlib.figure.Figure.gca : The figure's gca method.
    """
    return gcf().gca(**kwargs)


## More ways of creating axes ## 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def gca(**kwargs):
    """
    Get the current :class:`~matplotlib.axes.Axes` instance on the
    current figure matching the given keyword args, or create one.

    Examples
    --------
    To get the current polar axes on the current figure::

        plt.gca(projection='polar')

    If the current axes doesn't exist, or isn't a polar one, the appropriate
    axes will be created and then returned.

    See Also
    --------
    matplotlib.figure.Figure.gca : The figure's gca method.
    """
    return gcf().gca(**kwargs)

# More ways of creating axes: 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
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 be added 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()

    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.ishold()

    rc('axes', hold=b) 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def _autogen_docstring(base):
    """Autogenerated wrappers will get their docstring from a base function
    with an addendum."""
    msg = "\n\nAdditional kwargs: hold = [True|False] overrides default hold state"
    addendum = docstring.Appender(msg, '\n\n')
    return lambda func: addendum(docstring.copy_dedent(base)(func))

# This function cannot be generated by boilerplate.py because it may
# return an image or a line. 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def _autogen_docstring(base):
    """Autogenerated wrappers will get their docstring from a base function
    with an addendum."""
    msg = ''
    addendum = docstring.Appender(msg, '\n\n')
    return lambda func: addendum(docstring.copy_dedent(base)(func))


# If rcParams['backend_fallback'] is true, and an interactive backend is
# requested, ignore rcParams['backend'] and force selection of a backend that
# is compatible with the current running interactive framework. 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
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.

    Notes
    -----
    Historically, the only colorable artists were images; hence the name
    ``gci`` (get current image).
    """
    return gcf()._gci()


## Any Artist ##


# (getp is simply imported) 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
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) 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
def _autogen_docstring(base):
    """Autogenerated wrappers will get their docstring from a base function
    with an addendum."""
    #msg = "\n\nAdditional kwargs: hold = [True|False] overrides default hold state"
    msg = ''
    addendum = docstring.Appender(msg, '\n\n')
    return lambda func: addendum(docstring.copy_dedent(base)(func))

# This function cannot be generated by boilerplate.py because it may
# return an image or a line. 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
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 both with IPython and with 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 

# 需要导入模块: from matplotlib import artist [as 别名]
# 或者: from matplotlib.artist import get [as 别名]
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