3D Wireframe plotting in Python using Matplotlib (original) (raw)
Last Updated : 25 Apr, 2025
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
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( 0.05 )
wf.plot_wireframe(x,y,z, rstride = 2 ,
`` cstride = 2 ,color = 'green' )
wf.set_title( 'Example 1' )
pyplot.show()
Output:
In the above program, a 3D wireframe is plotted using test values for coordinates.
Example 2:
Python3
from mpl_toolkits import mplot3d
import numpy
from matplotlib import pyplot
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 ))
fig = pyplot.figure()
wf = pyplot.axes(projection = '3d' )
wf.plot_wireframe(x, y, z, color = 'green' )
wf.set_title( 'Example 2' )
pyplot.show()
Output:
