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:
Python3
# importing modulesfrom mpl_toolkits.mplot3d import axes3dfrom matplotlib import pyplot # 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:
Python3
# importing modulesfrom mpl_toolkits import mplot3dimport 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 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:
