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3D Wireframe plotting in Python using Matplotlib
  • Last Updated : 26 Mar, 2020

To create static, animated and interactive visualizations of data, we use the Matplotlib module in Python. The below programs will depict 3D wireframe. visualization of data in Python. In-order to visualize data using 3D wireframe we require some modules from matplotlib, mpl_toolkits and numpy library.

Example 1:

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# importing modules
from mpl_toolkits.mplot3d import axes3d
from matplotlib import pyplot 
   
# creating the visualiztion
fig = pyplot.figure()
wf = fig.add_subplot(111, projection='3d')
x, y, z = axes3d.get_test_data(0.05)
wf.plot_wireframe(x,y,z, rstride=2
                  cstride=2,color='green')
   
# displaying the visualization
wf.set_title('Example 1')
pyplot.show()

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Output:

In the above program, a 3D wireframe is plotted using test values for coordinates.

Example 2:

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# importing modules
from mpl_toolkits import mplot3d
import numpy 
from matplotlib import pyplot
  
# assigning coordinates    
a = numpy.linspace(-5, 5, 25)
b = numpy.linspace(-5, 5, 25)
x, y = numpy.meshgrid(a, b)
z = numpy.sin(numpy.sqrt(x**2 + y**2))
  
# creating the visualiztion
fig = pyplot.figure()
wf = pyplot.axes(projection ='3d')
wf.plot_wireframe(x, y, z, color ='green')
  
# displaying the visuliztion
wf.set_title('Example 2')
pyplot.show()

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Output:

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