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Implemented MatPlotLib #359

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Implemented MatPlotLib #359

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ad0e3d4
added a sample lecture for matplot lib
Mar 30, 2024
acd586a
removed unecessary file
Mar 30, 2024
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26 changes: 26 additions & 0 deletions _sources/poc/_static/component.html
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<div>
<iframe
height="1000px"
width="100%"
srcdoc='
<html>
<head>
<title>PyFront - Simple</title>
<meta charset="utf-8" />
<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
<script defer src="https://pyscript.net/latest/pyscript.js"></script>
<style>
.py-repl-run-button{opacity: 1;}
</style>
</head>
<body>
<py-config>
packages = ["numpy", "pandas", "matplotlib"]
terminal = true
</py-config>

<py-repl> </py-repl>
</body>
</html>'
></iframe>
</div>
50 changes: 50 additions & 0 deletions _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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