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3D Contour Plotting in Python using Matplotlib

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3D Wireframe plotting in Python using Matplotlib

Last Updated :28 Apr, 2025

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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:

# importing modulesfrommpl_toolkits.mplot3dimportaxes3dfrommatplotlibimportpyplot# creating the visualizationfig=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 visualizationwf.set_title('Example 1')pyplot.show()

Output:

In the above program, a 3D wireframe is plotted using test values for coordinates.
Example 2:

# importing modulesfrommpl_toolkitsimportmplot3dimportnumpyfrommatplotlibimportpyplot# assigning coordinatesa=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 visualizationfig=pyplot.figure()wf=pyplot.axes(projection='3d')wf.plot_wireframe(x,y,z,color='green')# displaying the visualizationwf.set_title('Example 2')pyplot.show()

Output:

3D Contour Plotting in Python using Matplotlib

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