matplotlib 3.5.1

>>> r"""
=============
Mmh Donuts!!!
=============

Draw donuts (miam!) using `~.path.Path`\s and `~.patches.PathPatch`\es.
This example shows the effect of the path's orientations in a compound path.
"""
... 
... import numpy as np
... import matplotlib.path as mpath
... import matplotlib.patches as mpatches
... import matplotlib.pyplot as plt
... 
... 
... def wise(v):
...  if v == 1:
...  return "CCW"
...  else:
...  return "CW"
... 
... 
... def make_circle(r):
...  t = np.arange(0, np.pi * 2.0, 0.01)
...  t = t.reshape((len(t), 1))
...  x = r * np.cos(t)
...  y = r * np.sin(t)
...  return np.hstack((x, y))
... 
... Path = mpath.Path
... 
... fig, ax = plt.subplots()
... 
... inside_vertices = make_circle(0.5)
... outside_vertices = make_circle(1.0)
... codes = np.ones(
...  len(inside_vertices), dtype=mpath.Path.code_type) * mpath.Path.LINETO
... codes[0] = mpath.Path.MOVETO
... 
... for i, (inside, outside) in enumerate(((1, 1), (1, -1), (-1, 1), (-1, -1))):
...  # Concatenate the inside and outside subpaths together, changing their
...  # order as needed
...  vertices = np.concatenate((outside_vertices[::outside],
...  inside_vertices[::inside]))
...  # Shift the path
...  vertices[:, 0] += i * 2.5
...  # The codes will be all "LINETO" commands, except for "MOVETO"s at the
...  # beginning of each subpath
...  all_codes = np.concatenate((codes, codes))
...  # Create the Path object
...  path = mpath.Path(vertices, all_codes)
...  # Add plot it
...  patch = mpatches.PathPatch(path, facecolor='#885500', edgecolor='black')
...  ax.add_patch(patch)
... 
...  ax.annotate("Outside %s,\nInside %s" % (wise(outside), wise(inside)),
...  (i * 2.5, -1.5), va="top", ha="center")
... 
... ax.set_xlim(-2, 10)
... ax.set_ylim(-3, 2)
... ax.set_title('Mmm, donuts!')
... ax.set_aspect(1.0)
... plt.show()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... # The use of the following functions, methods, classes and modules is shown
... # in this example:
... #
... # - `matplotlib.path`
... # - `matplotlib.path.Path`
... # - `matplotlib.patches`
... # - `matplotlib.patches.PathPatch`
... # - `matplotlib.patches.Circle`
... # - `matplotlib.axes.Axes.add_patch`
... # - `matplotlib.axes.Axes.annotate`
... # - `matplotlib.axes.Axes.set_aspect`
... # - `matplotlib.axes.Axes.set_xlim`
... # - `matplotlib.axes.Axes.set_ylim`
... # - `matplotlib.axes.Axes.set_title`
...