mirror of
https://github.com/pyscript/pyscript.git
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74 lines
2.7 KiB
HTML
74 lines
2.7 KiB
HTML
<html>
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<head>
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<title>Matplotlib</title>
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<meta charset="utf-8" />
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<link rel="icon" type="image/x-icon" href="./favicon.png" />
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<link
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rel="stylesheet"
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href="https://pyscript.net/latest/pyscript.css"
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/>
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<script defer src="https://pyscript.net/latest/pyscript.js"></script>
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<link rel="stylesheet" href="./assets/css/examples.css" />
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</head>
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<body>
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<nav class="navbar" style="background-color: #000000">
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<div class="app-header">
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<a href="/">
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<img src="./logo.png" class="logo" />
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</a>
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<a class="title" href="" style="color: #f0ab3c">Matplotlib</a>
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</div>
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</nav>
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<section class="pyscript">
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<div id="mpl"></div>
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<py-tutor>
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<py-config>
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packages = [
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"matplotlib"
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]
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plugins = [
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"../build/plugins/python/py_tutor.py"
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]
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</py-config>
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<py-script>
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import matplotlib.pyplot as plt
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import matplotlib.tri as tri
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import numpy as np
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# First create the x and y coordinates of the points.
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n_angles = 36
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n_radii = 8
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min_radius = 0.25
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radii = np.linspace(min_radius, 0.95, n_radii)
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angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
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angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
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angles[:, 1::2] += np.pi / n_angles
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x = (radii * np.cos(angles)).flatten()
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y = (radii * np.sin(angles)).flatten()
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z = (np.cos(radii) * np.cos(3 * angles)).flatten()
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# Create the Triangulation; no triangles so Delaunay triangulation created.
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triang = tri.Triangulation(x, y)
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# Mask off unwanted triangles.
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triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
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y[triang.triangles].mean(axis=1))
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< min_radius)
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fig1, ax1 = plt.subplots()
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ax1.set_aspect('equal')
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tpc = ax1.tripcolor(triang, z, shading='flat')
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fig1.colorbar(tpc)
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ax1.set_title('tripcolor of Delaunay triangulation, flat shading')
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display(fig1, target="mpl")
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</py-script>
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</py-tutor>
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</section>
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</body>
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</html>
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