Learn what to expect in the new updates
(Source code, png, hires.png, pdf)
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, PathPatch
from matplotlib.path import Path
from matplotlib.transforms import Affine2D
import numpy as np
r = np.random.rand(50)
t = np.random.rand(50) * np.pi * 2.0
x = r * np.cos(t)
y = r * np.sin(t)
fig, ax = plt.subplots(figsize=(6, 6))
circle = Circle((0, 0), 1, facecolor='none',
edgecolor=(0, 0.8, 0.8), linewidth=3, alpha=0.5)
ax.add_patch(circle)
im = plt.imshow(np.random.random((100, 100)),
origin='lower', cmap=cm.winter,
interpolation='spline36',
extent=([-1, 1, -1, 1]))
im.set_clip_path(circle)
plt.plot(x, y, 'o', color=(0.9, 0.9, 1.0), alpha=0.8)
# Dolphin from OpenClipart library by Andy Fitzsimon
# <cc:License rdf:about="http://web.resource.org/cc/PublicDomain">
# <cc:permits rdf:resource="http://web.resource.org/cc/Reproduction"/>
# <cc:permits rdf:resource="http://web.resource.org/cc/Distribution"/>
# <cc:permits rdf:resource="http://web.resource.org/cc/DerivativeWorks"/>
# </cc:License>
dolphin = """
M -0.59739425,160.18173 C -0.62740401,160.18885 -0.57867129,160.11183
-0.57867129,160.11183 C -0.57867129,160.11183 -0.5438361,159.89315
-0.39514638,159.81496 C -0.24645668,159.73678 -0.18316813,159.71981
-0.18316813,159.71981 C -0.18316813,159.71981 -0.10322971,159.58124
-0.057804323,159.58725 C -0.029723983,159.58913 -0.061841603,159.60356
-0.071265813,159.62815 C -0.080250183,159.65325 -0.082918513,159.70554
-0.061841203,159.71248 C -0.040763903,159.7194 -0.0066711426,159.71091
0.077336307,159.73612 C 0.16879567,159.76377 0.28380306,159.86448
0.31516668,159.91533 C 0.3465303,159.96618 0.5011127,160.1771
0.5011127,160.1771 C 0.63668998,160.19238 0.67763022,160.31259
0.66556395,160.32668 C 0.65339985,160.34212 0.66350443,160.33642
0.64907098,160.33088 C 0.63463742,160.32533 0.61309688,160.297
0.5789627,160.29339 C 0.54348657,160.28968 0.52329693,160.27674
0.50728856,160.27737 C 0.49060916,160.27795 0.48965803,160.31565
0.46114204,160.33673 C 0.43329696,160.35786 0.4570711,160.39871
0.43309565,160.40685 C 0.4105108,160.41442 0.39416631,160.33027
0.3954995,160.2935 C 0.39683269,160.25672 0.43807996,160.21522
0.44567915,160.19734 C 0.45327833,160.17946 0.27946869,159.9424
-0.061852613,159.99845 C -0.083965233,160.0427 -0.26176109,160.06683
-0.26176109,160.06683 C -0.30127962,160.07028 -0.21167141,160.09731
-0.24649368,160.1011 C -0.32642366,160.11569 -0.34521187,160.06895
-0.40622293,160.0819 C -0.467234,160.09485 -0.56738444,160.17461
-0.59739425,160.18173
"""
vertices = []
codes = []
parts = dolphin.split()
i = 0
code_map = {
'M': (Path.MOVETO, 1),
'C': (Path.CURVE4, 3),
'L': (Path.LINETO, 1)
}
while i < len(parts):
code = parts[i]
path_code, npoints = code_map[code]
codes.extend([path_code] * npoints)
vertices.extend([[float(x) for x in y.split(',')] for y in
parts[i + 1:i + npoints + 1]])
i += npoints + 1
vertices = np.array(vertices, np.float)
vertices[:, 1] -= 160
dolphin_path = Path(vertices, codes)
dolphin_patch = PathPatch(dolphin_path, facecolor=(0.6, 0.6, 0.6),
edgecolor=(0.0, 0.0, 0.0))
ax.add_patch(dolphin_patch)
vertices = Affine2D().rotate_deg(60).transform(vertices)
dolphin_path2 = Path(vertices, codes)
dolphin_patch2 = PathPatch(dolphin_path2, facecolor=(0.5, 0.5, 0.5),
edgecolor=(0.0, 0.0, 0.0))
ax.add_patch(dolphin_patch2)
plt.show()
Keywords: python, matplotlib, pylab, example, codex (see Search examples)