mmm donas!!! #

Dibuja donas (¡miam!) usando Paths y PathPatches. Este ejemplo muestra el efecto de las orientaciones de la ruta en una ruta compuesta.

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()

Referencias

En este ejemplo se muestra el uso de las siguientes funciones, métodos, clases y módulos:

Galería generada por Sphinx-Gallery