File: tricontourf3d.py

package info (click to toggle)
matplotlib 3.10.1%2Bdfsg1-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 78,340 kB
  • sloc: python: 147,118; cpp: 62,988; objc: 1,679; ansic: 1,426; javascript: 786; makefile: 92; sh: 53
file content (51 lines) | stat: -rw-r--r-- 1,395 bytes parent folder | download | duplicates (2)
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
"""
=================================
Triangular 3D filled contour plot
=================================

Filled contour plots of unstructured triangular grids.

The data used is the same as in the second plot of :doc:`trisurf3d_2`.
:doc:`tricontour3d` shows the unfilled version of this example.
"""

import matplotlib.pyplot as plt
import numpy as np

import matplotlib.tri as tri

# First create the x, y, z coordinates of the points.
n_angles = 48
n_radii = 8
min_radius = 0.25

# Create the mesh in polar coordinates and compute x, y, z.
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 a custom triangulation.
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)

ax = plt.figure().add_subplot(projection='3d')
ax.tricontourf(triang, z, cmap=plt.cm.CMRmap)

# Customize the view angle so it's easier to understand the plot.
ax.view_init(elev=45.)

plt.show()

# %%
# .. tags::
#    plot-type: 3D, plot-type: specialty,
#    level: intermediate