Python PathPatch.set_alpha方法代码示例

# 需要导入模块: from matplotlib.patches import PathPatch [as 别名]
# 或者: from matplotlib.patches.PathPatch import set_alpha [as 别名]
  def scatter(self, x, y, s, ax=None, fancy=False, **kwargs):
    """ takes data coordinate x, y and plot them to a data coordinate axes,
        s is the radius in data units. 
        When fancy is True, apply a radient filter so that the 
        edge is blent into the background; better with marker='o' or marker='+'. """
    X, Y, S = numpy.asarray([x, y, s])
    if ax is None: ax=self.default_axes
    
    def filter(image, dpi):
      # this is problematic if the marker is clipped.
      if image.shape[0] <=1 and image.shape[1] <=1: return image
      xgrad = 1.0 \
         - numpy.fabs(numpy.linspace(0, 2, 
            image.shape[0], endpoint=True) - 1.0)
      ygrad = 1.0 \
         - numpy.fabs(numpy.linspace(0, 2, 
            image.shape[1], endpoint=True) - 1.0)
      image[..., 3] *= xgrad[:, None] ** 0.5
      image[..., 3] *= ygrad[None, :] ** 0.5
      return image, 0, 0

    marker = kwargs.pop('marker', 'x')
    verts = kwargs.pop('verts', None)
    # to be API compatible
    if marker is None and not (verts is None):
        marker = (verts, 0)
        verts = None

    objs = []
    color = kwargs.pop('color', None)
    edgecolor = kwargs.pop('edgecolor', None)
    linewidth = kwargs.pop('linewidth', kwargs.pop('lw', None))

    marker_obj = MarkerStyle(marker)
    if not marker_obj.is_filled():
        edgecolor = color

    for x,y,r in numpy.nditer([X, Y, S], flags=['zerosize_ok']):
      path = marker_obj.get_path().transformed(
         marker_obj.get_transform().scale(r).translate(x, y))
      obj = PathPatch(
                path,
                facecolor = color,
                edgecolor = edgecolor,
                linewidth = linewidth,
                transform = ax.transData,
              )
      obj.set_alpha(1.0)
      if fancy:
        obj.set_agg_filter(filter)
        obj.rasterized = True
      objs += [obj]
      ax.add_artist(obj)
    ax.autoscale_view()

    return objs

# 需要导入模块: from matplotlib.patches import PathPatch [as 别名]
# 或者: from matplotlib.patches.PathPatch import set_alpha [as 别名]
    def _render_on_subplot(self, subplot):
        """
        Render this Bezier path in a subplot.  This is the key function that
        defines how this Bezier path graphics primitive is rendered in matplotlib's
        library.

        TESTS::

            sage: bezier_path([[(0,1),(.5,0),(1,1)]])
            Graphics object consisting of 1 graphics primitive

        ::

            sage: bezier_path([[(0,1),(.5,0),(1,1),(-3,5)]])
            Graphics object consisting of 1 graphics primitive
        """
        from matplotlib.patches import PathPatch
        from matplotlib.path import Path
        from sage.plot.misc import get_matplotlib_linestyle

        options = dict(self.options())

        del options['alpha']
        del options['thickness']
        del options['rgbcolor']
        del options['zorder']
        del options['fill']
        del options['linestyle']

        bpath = Path(self.vertices, self.codes)
        bpatch = PathPatch(bpath, **options)
        options = self.options()
        bpatch.set_linewidth(float(options['thickness']))
        bpatch.set_fill(options['fill'])
        bpatch.set_zorder(options['zorder'])
        a = float(options['alpha'])
        bpatch.set_alpha(a)
        c = to_mpl_color(options['rgbcolor'])
        bpatch.set_edgecolor(c)
        bpatch.set_facecolor(c)
        bpatch.set_linestyle(get_matplotlib_linestyle(options['linestyle'], return_type='long'))
        subplot.add_patch(bpatch)