# Tri-Surface Plot in Python using Matplotlib

• Last Updated : 11 Nov, 2021

A Tri-Surface Plot is a type of surface plot, created by triangulation of compact surfaces of finite number of triangles which cover the whole surface in a manner that each and every point on the surface is in triangle. The intersection of any two triangles results in void or a common edge or vertex. This type of plot is created where the evenly sampled grids are restrictive and inconvenient to plot. Generally Tri-Surface plots are created by calling ax.plot_trisurf() function of matplotlib library. Some of the attributes of the function are listed below:

Example 1: Let’s create a basic Tri-Surface plot using the ax.plot_trisurf() function.

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## Python3

 # Import librariesfrom mpl_toolkits import mplot3dimport numpy as npimport matplotlib.pyplot as plt  # Creating datasetz = np.linspace(0, 50000, 100)x = np.sin(z)y = np.cos(z) # Creating figurefig = plt.figure(figsize =(14, 9))ax = plt.axes(projection ='3d') # Creating plotax.plot_trisurf(x, y, z,                linewidth = 0.2,                antialiased = True); # show plotplt.show()

Output :

Example 2 : For better understanding Let’s take another example.

## Python3

 # Import librariesfrom mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np   # Creating radii and anglesr = np.linspace(0.125, 1.0, 100) a = np.linspace(0, 2 * np.pi,                100,                endpoint = False)    # Repeating all angles for every radius a = np.repeat(a[..., np.newaxis], 100, axis = 1)    # Creating datasetx = np.append(0, (r * np.cos(a))) y = np.append(0, (r * np.sin(a)))   z = (np.sin(x ** 4) + np.cos(y ** 4))   # Creating figurefig = plt.figure(figsize =(16, 9)) ax = plt.axes(projection ='3d')  # Creating color mapmy_cmap = plt.get_cmap('hot')   # Creating plottrisurf = ax.plot_trisurf(x, y, z,                         cmap = my_cmap,                         linewidth = 0.2,                         antialiased = True,                         edgecolor = 'grey') fig.colorbar(trisurf, ax = ax, shrink = 0.5, aspect = 5)ax.set_title('Tri-Surface plot') # Adding labelsax.set_xlabel('X-axis', fontweight ='bold')ax.set_ylabel('Y-axis', fontweight ='bold')ax.set_zlabel('Z-axis', fontweight ='bold')     # show plotplt.show()

Output:

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