.. _pylab_examples-dolphin:

pylab_examples example code: dolphin.py
=======================================



.. plot:: /builddir/build/BUILD/matplotlib-1.2.0/doc/mpl_examples/pylab_examples/dolphin.py

::

    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 = plt.figure(figsize=(6,6))
    ax = plt.subplot(111)
    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 :ref:`how-to-search-examples`)