Python cbook.CallbackRegistry方法代码示例

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, figure):
        figure.set_canvas(self)
        self.figure = figure
        # a dictionary from event name to a dictionary that maps cid->func
        self.callbacks = cbook.CallbackRegistry()
        self.widgetlock = widgets.LockDraw()
        self._button = None  # the button pressed
        self._key = None  # the key pressed
        self._lastx, self._lasty = None, None
        self.button_pick_id = self.mpl_connect('button_press_event', self.pick)
        self.scroll_pick_id = self.mpl_connect('scroll_event', self.pick)
        self.mouse_grabber = None  # the axes currently grabbing mouse
        self.toolbar = None  # NavigationToolbar2 will set me
        self._is_saving = False
        if False:
            ## highlight the artists that are hit
            self.mpl_connect('motion_notify_event', self.onHilite)
            ## delete the artists that are clicked on
            #self.mpl_disconnect(self.button_pick_id)
            #self.mpl_connect('button_press_event',self.onRemove) 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, figure=None):
        _log.warning('Treat the new Tool classes introduced in v1.5 as '
                     'experimental for now, the API will likely change in '
                     'version 2.1 and perhaps the rcParam as well')

        self._key_press_handler_id = None

        self._tools = {}
        self._keys = {}
        self._toggled = {}
        self._callbacks = cbook.CallbackRegistry()

        # to process keypress event
        self.keypresslock = widgets.LockDraw()
        self.messagelock = widgets.LockDraw()

        self._figure = None
        self.set_figure(figure) 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def cla(self):
        'clear the current axis'

        self.label.set_text('')  # self.set_label_text would change isDefault_

        self._set_scale('linear')

        # Clear the callback registry for this axis, or it may "leak"
        self.callbacks = cbook.CallbackRegistry()

        # whether the grids are on
        self._gridOnMajor = (rcParams['axes.grid'] and
                             rcParams['axes.grid.which'] in ('both', 'major'))
        self._gridOnMinor = (rcParams['axes.grid'] and
                             rcParams['axes.grid.which'] in ('both', 'minor'))

        self.reset_ticks()

        self.converter = None
        self.units = None
        self.set_units(None)
        self.stale = True 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, figure=None):
        warnings.warn('Treat the new Tool classes introduced in v1.5 as ' +
                       'experimental for now, the API will likely change in ' +
                       'version 2.1 and perhaps the rcParam as well')

        self._key_press_handler_id = None

        self._tools = {}
        self._keys = {}
        self._toggled = {}
        self._callbacks = cbook.CallbackRegistry()

        # to process keypress event
        self.keypresslock = widgets.LockDraw()
        self.messagelock = widgets.LockDraw()

        self._figure = None
        self.set_figure(figure) 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def set_registry(self, registry=None):
        '''
        Arguments:

            registry (ImageView, CallbackRegistry, or FigureCanvas):

                The object that will generate the callback. If the argument is
                an ImageView, the callback will be bound to the associated
                FigureCanvas.
        '''
        from matplotlib.cbook import CallbackRegistry
        if isinstance(registry, CallbackRegistry):
            self.registry = registry
        elif isinstance(registry, ImageView):
            self.registry = registry.axes.figure.canvas
        else:
            self.registry = registry 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def cla(self):
        'clear the current axis'
        self.set_major_locator(mticker.AutoLocator())
        self.set_major_formatter(mticker.ScalarFormatter())
        self.set_minor_locator(mticker.NullLocator())
        self.set_minor_formatter(mticker.NullFormatter())

        self.set_label_text('')
        self._set_artist_props(self.label)

        # Keep track of setting to the default value, this allows use to know
        # if any of the following values is explicitly set by the user, so as
        # to not overwrite their settings with any of our 'auto' settings.
        self.isDefault_majloc = True
        self.isDefault_minloc = True
        self.isDefault_majfmt = True
        self.isDefault_minfmt = True
        self.isDefault_label = True

        # Clear the callback registry for this axis, or it may "leak"
        self.callbacks = cbook.CallbackRegistry()

        # whether the grids are on
        self._gridOnMajor = rcParams['axes.grid']
        self._gridOnMinor = False

        self.label.set_text('')
        self._set_artist_props(self.label)

        self.reset_ticks()

        self.converter = None
        self.units = None
        self.set_units(None) 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, norm=None, cmap=None):
        r"""

        Parameters
        ----------
        norm : :class:`matplotlib.colors.Normalize` instance
            The normalizing object which scales data, typically into the
            interval ``[0, 1]``.
        cmap : str or :class:`~matplotlib.colors.Colormap` instance
            The colormap used to map normalized data values to RGBA colors.

        """

        self.callbacksSM = cbook.CallbackRegistry()

        if cmap is None:
            cmap = get_cmap()
        if norm is None:
            norm = colors.Normalize()

        self._A = None
        #: The Normalization instance of this ScalarMappable.
        self.norm = norm
        #: The Colormap instance of this ScalarMappable.
        self.cmap = get_cmap(cmap)
        #: The last colorbar associated with this ScalarMappable. May be None.
        self.colorbar = None
        self.update_dict = {'array': False} 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def clf(self, keep_observers=False):
        """
        Clear the figure.

        Set *keep_observers* to True if, for example,
        a gui widget is tracking the axes in the figure.
        """
        self.suppressComposite = None
        self.callbacks = cbook.CallbackRegistry()

        for ax in tuple(self.axes):  # Iterate over the copy.
            ax.cla()
            self.delaxes(ax)         # removes ax from self._axstack

        toolbar = getattr(self.canvas, 'toolbar', None)
        if toolbar is not None:
            toolbar.update()
        self._axstack.clear()
        self.artists = []
        self.lines = []
        self.patches = []
        self.texts = []
        self.images = []
        self.legends = []
        if not keep_observers:
            self._axobservers = [] 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, axes, pickradius=15):
        """
        Parameters
        ----------
        axes : `matplotlib.axes.Axes`
            The `~.axes.Axes` to which the created Axis belongs.
        pickradius : float
            The acceptance radius for containment tests. See also
            `.Axis.contains`.
        """
        martist.Artist.__init__(self)
        self._remove_overlapping_locs = True

        self.set_figure(axes.figure)

        self.isDefault_label = True

        self.axes = axes
        self.major = Ticker()
        self.minor = Ticker()
        self.callbacks = cbook.CallbackRegistry()

        self._autolabelpos = True
        self._smart_bounds = False

        self.label = self._get_label()
        self.labelpad = rcParams['axes.labelpad']
        self.offsetText = self._get_offset_text()

        self.pickradius = pickradius

        # Initialize here for testing; later add API
        self._major_tick_kw = dict()
        self._minor_tick_kw = dict()

        self.cla()
        self._set_scale('linear')

    # During initialization, Axis objects often create ticks that are later
    # unused; this turns out to be a very slow step.  Instead, use a custom
    # descriptor to make the tick lists lazy and instantiate them as needed. 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def cla(self):
        'clear the current axis'
        self.set_major_locator(mticker.AutoLocator())
        self.set_major_formatter(mticker.ScalarFormatter())
        self.set_minor_locator(mticker.NullLocator())
        self.set_minor_formatter(mticker.NullFormatter())

        self.set_label_text('')
        self._set_artist_props(self.label)

        # Keep track of setting to the default value, this allows use to know
        # if any of the following values is explicitly set by the user, so as
        # to not overwrite their settings with any of our 'auto' settings.
        self.isDefault_majloc = True
        self.isDefault_minloc = True
        self.isDefault_majfmt = True
        self.isDefault_minfmt = True
        self.isDefault_label = True

        # Clear the callback registry for this axis, or it may "leak"
        self.callbacks = cbook.CallbackRegistry()

        # whether the grids are on
        self._gridOnMajor = rcParams['axes.grid'] and (rcParams['axes.grid.which'] in ('both','major'))
        self._gridOnMinor = rcParams['axes.grid'] and (rcParams['axes.grid.which'] in ('both','minor'))

        self.label.set_text('')
        self._set_artist_props(self.label)

        self.reset_ticks()

        self.converter = None
        self.units = None
        self.set_units(None) 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def clf(self, keep_observers=False):
        """
        Clear the figure.

        Set *keep_observers* to True if, for example,
        a gui widget is tracking the axes in the figure.
        """
        self.suppressComposite = None
        self.callbacks = cbook.CallbackRegistry()

        for ax in tuple(self.axes):  # Iterate over the copy.
            ax.cla()
            self.delaxes(ax)         # removes ax from self._axstack

        toolbar = getattr(self.canvas, 'toolbar', None)
        if toolbar is not None:
            toolbar.update()
        self._axstack.clear()
        self.artists = []
        self.lines = []
        self.patches = []
        self.texts = []
        self.images = []
        self.legends = []
        if not keep_observers:
            self._axobservers = []
        self._suptitle = None 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, axes, pickradius=15):
        """
        Init the axis with the parent Axes instance
        """
        artist.Artist.__init__(self)
        self.set_figure(axes.figure)

        self.isDefault_label = True

        self.axes = axes
        self.major = Ticker()
        self.minor = Ticker()
        self.callbacks = cbook.CallbackRegistry()

        self._autolabelpos = True
        self._smart_bounds = False

        self.label = self._get_label()
        self.labelpad = rcParams['axes.labelpad']
        self.offsetText = self._get_offset_text()

        self.pickradius = pickradius

        # Initialize here for testing; later add API
        self._major_tick_kw = dict()
        self._minor_tick_kw = dict()

        self.cla()
        self._set_scale('linear')

    # During initialization, Axis objects often create ticks that are later
    # unused; this turns out to be a very slow step.  Instead, use a custom
    # descriptor to make the tick lists lazy and instantiate them as needed. 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def __init__(self, norm=None, cmap=None):
        r"""

        Parameters
        ----------
        norm : :class:`matplotlib.colors.Normalize` instance
            The normalizing object which scales data, typically into the
            interval ``[0, 1]``.
            If *None*, *norm* defaults to a *colors.Normalize* object which
            initializes its scaling based on the first data processed.
        cmap : str or :class:`~matplotlib.colors.Colormap` instance
            The colormap used to map normalized data values to RGBA colors.
        """

        self.callbacksSM = cbook.CallbackRegistry()

        if cmap is None:
            cmap = get_cmap()
        if norm is None:
            norm = colors.Normalize()

        self._A = None
        #: The Normalization instance of this ScalarMappable.
        self.norm = norm
        #: The Colormap instance of this ScalarMappable.
        self.cmap = get_cmap(cmap)
        #: The last colorbar associated with this ScalarMappable. May be None.
        self.colorbar = None
        self.update_dict = {'array': False} 

# 需要导入模块: from matplotlib import cbook [as 别名]
# 或者: from matplotlib.cbook import CallbackRegistry [as 别名]
def clf(self, keep_observers=False):
        """
        Clear the figure.

        Set *keep_observers* to True if, for example,
        a gui widget is tracking the axes in the figure.
        """
        self.suppressComposite = None
        self.callbacks = cbook.CallbackRegistry()

        for ax in tuple(self.axes):  # Iterate over the copy.
            ax.cla()
            self.delaxes(ax)         # removes ax from self._axstack

        toolbar = getattr(self.canvas, 'toolbar', None)
        if toolbar is not None:
            toolbar.update()
        self._axstack.clear()
        self.artists = []
        self.lines = []
        self.patches = []
        self.texts = []
        self.images = []
        self.legends = []
        if not keep_observers:
            self._axobservers = []
        self._suptitle = None
        if self.get_constrained_layout():
            layoutbox.nonetree(self._layoutbox)
        self.stale = True