mirror of
https://github.com/pyscript/pyscript.git
synced 2025-12-19 10:17:23 -05:00
08f34f748b
* Apply prettier to css, js, html, md, ts, and yml As a followup I will add prettier to the .pre-commit config. This patch is 100% generated by prettier. I used a forked version of prettier that understands the py-script tag. See https://github.com/hoodmane/pyscript-prettier-precommit for more info. * Apply old pre-commit * Revert some problems * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revert some changes * More changes * Fix pre-commit * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
71 lines
2.2 KiB
HTML
71 lines
2.2 KiB
HTML
<html>
|
|
<head>
|
|
<title>Matplotlib</title>
|
|
<meta charset="utf-8" />
|
|
<link rel="icon" type="image/x-icon" href="./favicon.png" />
|
|
<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
|
|
<script defer src="https://pyscript.net/latest/pyscript.js"></script>
|
|
<link rel="stylesheet" href="./assets/css/examples.css" />
|
|
</head>
|
|
<body>
|
|
<nav class="navbar" style="background-color: #000000">
|
|
<div class="app-header">
|
|
<a href="/">
|
|
<img src="./logo.png" class="logo" />
|
|
</a>
|
|
<a class="title" href="" style="color: #f0ab3c">Matplotlib</a>
|
|
</div>
|
|
</nav>
|
|
<section class="pyscript">
|
|
<div id="mpl"></div>
|
|
|
|
<py-tutor>
|
|
<py-config>
|
|
packages = [
|
|
"matplotlib"
|
|
]
|
|
plugins = [
|
|
"../build/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>
|
|
</body>
|
|
</html>
|