For the data visualization using 3D wireframe, we require some modules from matplotlib, mpl_toolkits and numpy library.
The wireframe plot basically takes a grid of values and projects it onto the specified 3-dimensional surfaces, and it can help in making the resulting three-dimensional forms quite easy for visualization.
To create the 3D Wireframe plot the plot_wireframe() function will be used.
Now its time to cover few examples for the 3D wireframe plot.
3D Wireframe Plot Basic Example:
Below we have an example where we will create a 3D Wireframe plot:
from mpl_toolkits.mplot3d import axes3d
from matplotlib import pyplot
fig = pyplot.figure()
wf = fig.add_subplot(111, projection='3d')
x, y, z = axes3d.get_test_data(0.07)
wf.plot_wireframe(x,y,z, rstride=2, cstride=2, color='maroon')
wf.set_title('3D wireframe plot')
pyplot.show() Here is the output of the above code:
3D Wireframe Plot Example 2:
Here is another example and code snippet for the same is given below:
from mpl_toolkits import mplot3d
import numpy
a = numpy.linspace(-5, 5, 25)
b = numpy.linspace(-5, 5, 25)
x, y = numpy.meshgrid(a, b)
z = numpy.cos(numpy.sqrt(x**2 + y**2))
fig = pyplot.figure()
wf = pyplot.axes(projection ='3d')
wf.plot_wireframe(x, y, z, color ='blue')
wf.set_title('Example 2')
pyplot.show()
Here is the output of the above code:
