-
Notifications
You must be signed in to change notification settings - Fork 6
Expand file tree
/
Copy pathmatplot.py
More file actions
55 lines (43 loc) · 1.36 KB
/
matplot.py
File metadata and controls
55 lines (43 loc) · 1.36 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
import js
import matplotlib
from polyscript import xworker
try:
js.document
except AttributeError:
matplotlib.use("agg")
import base64
import io
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")
buf = io.BytesIO()
plt.savefig(buf, format="png")
buf.seek(0)
document = xworker.window.document
img = document.createElement("img")
img.style.transform = "scale(.5)"
img.src = "data:image/png;base64," + base64.b64encode(buf.read()).decode("UTF-8")
document.body.append(img)