diff --git a/_sources/poc/_static/component.html b/_sources/poc/_static/component.html
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+
+
+
diff --git a/_sources/poc/matplotlib.rst b/_sources/poc/matplotlib.rst
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+========================
+MatPlotLib Demonstration
+========================
+
+This is a demonstartion to show how to use MatPlotLib to create a simple plot.
+This plot is implemented in the browser using the PyScript Component I submitted in a previous PR.
+
+.. code:: python
+
+ 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)
+
+Instructions
+------------
+Run the code in the notebook below by ``Shift + Enter``.
+The plot will be displayed below the code cell.
+
+.. raw:: html
+ :file: ./_static/component.html
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