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Matplotlib: 3D Surface plot

A surface plot is a representation of a 3-D dataset. It shows the functional relationship between two independent variables such as X and Z and a designated dependent variable Y.

  • It is said to be a companion plot to the contour plot.
  • It is similar to a wireframe plot but in wireframe, each face is filled with a polygon.
  • It is helpful in creating the topology of the surface which is begin visualized.

Creating 3-D surface Plot

To create 3-D surface plot ax.plot_surface() function is used 


ax.plot_surface(X, Y, Z)

Here, X and Y are 2-D arrays of points while Z is the 2-D array of heights.

Some of the attributes are given below:

  • facecolor: It is used to represent the face colour of the individual surface.
  • shade: It is used to shade the face colour.
  • color: It is used to represent the colour of the surface.
  • vmax: It is used to represent the maximum value of the map.
  • vmin: It is used to represent the minimum value of the map.
  • cmap: It is used to represent the colormap of the surface.
  • nrom: It acts as an instance to normalize the values of color map.
  • rcount: It is used to represent the number of rows to be used. By default it is set to 50.
  • ccount: It is used to represent the number of columns to be used. By default it is set to 50.
  • rstride: It is used to represent the array of row stride(that is step size).
  • cstride: It is used to represent the array of column stride(that is step size).


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


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


surface plot

Submitted by devanshi.srivastava on December 7, 2021

Devanshi, is working as a Data Scientist with iVagus. She has expertise in Python, NumPy, Pandas and other data science technologies.


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