Welcome to another 3D Matplotlib tutorial, covering how to graph a 3D scatter plot.
Graphing a 3D scatter plot is very similar to the typical scatter plot as well as the 3D wire_frame.
A quick example:
from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt from matplotlib import style style.use('ggplot') fig = plt.figure() ax1 = fig.add_subplot(111, projection='3d') x = [1,2,3,4,5,6,7,8,9,10] y = [5,6,7,8,2,5,6,3,7,2] z = [1,2,6,3,2,7,3,3,7,2] x2 = [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10] y2 = [-5,-6,-7,-8,-2,-5,-6,-3,-7,-2] z2 = [1,2,6,3,2,7,3,3,7,2] ax1.scatter(x, y, z, c='g', marker='o') ax1.scatter(x2, y2, z2, c ='r', marker='o') ax1.set_xlabel('x axis') ax1.set_ylabel('y axis') ax1.set_zlabel('z axis') plt.show()
The result here:
Note here that you can change the size and marker with these plots, just like you can with a typical scatter plot.