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Apply prettier to css, html, js, md, ts, and yml (#1249)

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* 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>
This commit is contained in:
Hood Chatham
2023-03-06 15:20:21 +01:00
committed by GitHub
parent 7ffe6a598e
commit 08f34f748b
108 changed files with 4571 additions and 3802 deletions
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66
examples/matplotlib.html
View File

@@ -1,19 +1,19 @@
<html>
<head>
<title>Matplotlib</title>
<meta charset="utf-8">
<link rel="icon" type="image/x-icon" href="./favicon.png">
<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;">
</head>
<body>
<nav class="navbar" style="background-color: #000000">
<div class="app-header">
<a href="/">
<img src="./logo.png" class="logo">
<img src="./logo.png" class="logo" />
</a>
<a class="title" href="" style="color: #f0ab3c;">Matplotlib</a>
<a class="title" href="" style="color: #f0ab3c">Matplotlib</a>
</div>
</nav>
<section class="pyscript">
@@ -30,39 +30,39 @@
</py-config>
<py-script>
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
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)
# 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
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()
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)
# 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)
# 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')
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")
display(fig1, target="mpl")
</py-script>
</py-tutor>
</section>