Triangular surface plot matplotlib

Question

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np


fig = plt.figure()
ax = fig.gca(projection='3d')

# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)

ax.plot_trisurf(X, Y, Z, cmap='viridis', edgecolor='none')

plt.show()

I tried to plot this data in form of triangular data but I get this error:

ValueError: x and y must be equal-length 1-D arrays

Can someone help me on it?

If you want to plot data on a regular, rectangular grid, use plot_surface. — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Aug 31, 2019 at 15:26
Yes, thank you. but for now, I'm searching for plotting it in a triangular grid — walid
– walid, Commented Aug 31, 2019 at 16:30
using the plot_surface I get this figure: matplotlib.org/_images/surface3d_demo1.png. but I want it to look some way like that: jakevdp.github.io/PythonDataScienceHandbook/… — walid
– walid, Commented Aug 31, 2019 at 17:00
The example uses random numbers. In your case it would be X = np.random.rand(1000)*10-5; Y = np.random.rand(1000)*10-5; Z = np.sin(np.sqrt(X**2 + Y**2)) — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Aug 31, 2019 at 17:18

Ak Bk · Accepted Answer · 2020-06-09 07:55:59Z

1

In triangular surface plot X,Y,Z must be one dimensional array rather than two dimensional as in case of wireframe and surface plot. Don't use np.meshgrid().

answered Jun 9, 2020 at 7:55

Ak Bk

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