Python Axes.__init__方法代碼示例

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def __init__(self, *args, **kwargs):
        """
        Create a new Polar Axes for a polar plot.

        The following optional kwargs are supported:

          - *resolution*: The number of points of interpolation between
            each pair of data points.  Set to 1 to disable
            interpolation.
        """
        self.resolution = kwargs.pop('resolution', 1)
        self._default_theta_offset = kwargs.pop('theta_offset', 0)
        self._default_theta_direction = kwargs.pop('theta_direction', 1)

        if self.resolution not in (None, 1):
            warnings.warn(
                """The resolution kwarg to Polar plots is now ignored.
If you need to interpolate data points, consider running
cbook.simple_linear_interpolation on the data before passing to matplotlib.""")
        Axes.__init__(self, *args, **kwargs)
        self.set_aspect('equal', adjustable='box', anchor='C')
        self.cla() 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def __init__(self, *args, **kwargs):
        """
        Create a new Polar Axes for a polar plot.

        The following optional kwargs are supported:

          - *resolution*: The number of points of interpolation between
            each pair of data points.  Set to 1 to disable
            interpolation.
        """
        self.resolution = kwargs.pop('resolution', 1)
        self._default_theta_offset = kwargs.pop('theta_offset', 0)
        self._default_theta_direction = kwargs.pop('theta_direction', 1)
        self._default_rlabel_position = kwargs.pop('rlabel_position', 22.5)

        if self.resolution not in (None, 1):
            warnings.warn(
                """The resolution kwarg to Polar plots is now ignored.
If you need to interpolate data points, consider running
cbook.simple_linear_interpolation on the data before passing to matplotlib.""")
        Axes.__init__(self, *args, **kwargs)
        self.set_aspect('equal', adjustable='box', anchor='C')
        self.cla() 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def test_iterability_axes_argument():

    # This is a regression test for matplotlib/matplotlib#3196. If one of the
    # arguments returned by _as_mpl_axes defines __getitem__ but is not
    # iterable, this would raise an execption. This is because we check
    # whether the arguments are iterable, and if so we try and convert them
    # to a tuple. However, the ``iterable`` function returns True if
    # __getitem__ is present, but some classes can define __getitem__ without
    # being iterable. The tuple conversion is now done in a try...except in
    # case it fails.

    class MyAxes(Axes):
        def __init__(self, *args, **kwargs):
            kwargs.pop('myclass', None)
            return Axes.__init__(self, *args, **kwargs)

    class MyClass(object):

        def __getitem__(self, item):
            if item != 'a':
                raise ValueError("item should be a")

        def _as_mpl_axes(self):
            return MyAxes, {'myclass': self}

    fig = plt.figure()
    ax = fig.add_subplot(1, 1, 1, projection=MyClass())
    plt.close(fig) 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def test_iterability_axes_argument():

    # This is a regression test for matplotlib/matplotlib#3196. If one of the
    # arguments returned by _as_mpl_axes defines __getitem__ but is not
    # iterable, this would raise an exception. This is because we check
    # whether the arguments are iterable, and if so we try and convert them
    # to a tuple. However, the ``iterable`` function returns True if
    # __getitem__ is present, but some classes can define __getitem__ without
    # being iterable. The tuple conversion is now done in a try...except in
    # case it fails.

    class MyAxes(Axes):
        def __init__(self, *args, myclass=None, **kwargs):
            return Axes.__init__(self, *args, **kwargs)

    class MyClass(object):

        def __getitem__(self, item):
            if item != 'a':
                raise ValueError("item should be a")

        def _as_mpl_axes(self):
            return MyAxes, {'myclass': self}

    fig = plt.figure()
    fig.add_subplot(1, 1, 1, projection=MyClass())
    plt.close(fig) 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def __init__(self):
        self.label_data = {}  # (k, v) = (unit_id, (unit_loc, unit_label))
        artist.Artist.__init__(self)
        self.yrange = [] 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def __init__(self, fig, rect, wcs=None, transform=None, coord_meta=None,
                 transData=None, slices=None, frame_class=None,
                 **kwargs):
        """
        """

        super().__init__(fig, rect, **kwargs)
        self._bboxes = []

        if frame_class is not None:
            self.frame_class = frame_class
        elif (wcs is not None and (wcs.pixel_n_dim == 1 or
                                   (slices is not None and 'y' not in slices))):
            self.frame_class = RectangularFrame1D
        else:
            self.frame_class = RectangularFrame

        if not (transData is None):
            # User wants to override the transform for the final
            # data->pixel mapping
            self.transData = transData

        self.reset_wcs(wcs=wcs, slices=slices, transform=transform, coord_meta=coord_meta)
        self._hide_parent_artists()
        self.format_coord = self._display_world_coords
        self._display_coords_index = 0
        fig.canvas.mpl_connect('key_press_event', self._set_cursor_prefs)
        self.patch = self.coords.frame.patch
        self._wcsaxesartist = _WCSAxesArtist()
        self.add_artist(self._wcsaxesartist)
        self._drawn = False 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import __init__ [as 別名]
def __init__(self, axis=None, use_rmin=True,
                 _apply_theta_transforms=True):
        mtransforms.Transform.__init__(self)
        self._axis = axis
        self._use_rmin = use_rmin
        self._apply_theta_transforms = _apply_theta_transforms