examples/matplotlib.html

<html>
    <head>
        <title>Matplotlib</title>
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        <nav class="navbar" style="background-color: #000000">
            <div class="app-header">
                <a href="/">
                    <img src="./logo.png" class="logo" />
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                <a class="title" href="" style="color: #f0ab3c">Matplotlib</a>
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        </nav>
        <section class="pyscript">
            <div id="mpl"></div>

            <py-tutor>
                <py-config>
                    packages = [
                      "matplotlib"
                    ]
                    plugins = [
                      "https://pyscript.net/latest/plugins/python/py_tutor.py"
                    ]
                </py-config>

                <py-script>
                    import matplotlib.pyplot as plt
                    import matplotlib.tri as tri
                    import numpy as np

                    # First create the x and y coordinates of the points.
                    n_angles = 36
                    n_radii = 8
                    min_radius = 0.25
                    radii = np.linspace(min_radius, 0.95, n_radii)

                    angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
                    angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
                    angles[:, 1::2] += np.pi / n_angles

                    x = (radii * np.cos(angles)).flatten()
                    y = (radii * np.sin(angles)).flatten()
                    z = (np.cos(radii) * np.cos(3 * angles)).flatten()

                    # Create the Triangulation; no triangles so Delaunay triangulation created.
                    triang = tri.Triangulation(x, y)

                    # Mask off unwanted triangles.
                    triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1),
                                             y[triang.triangles].mean(axis=1))
                                    < min_radius)

                    fig1, ax1 = plt.subplots()
                    ax1.set_aspect('equal')
                    tpc = ax1.tripcolor(triang, z, shading='flat')
                    fig1.colorbar(tpc)
                    ax1.set_title('tripcolor of Delaunay triangulation, flat shading')

                    display(fig1, target="mpl")
                </py-script>
            </py-tutor>
        </section>
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