Create random data points x, y and z using numpy. With it, we … Let’s see an example related to this: 3D Plotting in Matplotlib for Python: 3D Scatter Plot - YouTube 2)plot_wireframe: it takes a grid of values and projects them to a 3-D surface. 1. For the subplot, I realize I could flip the x and y data, rotate the axis labels, create a plot title on the left hand side, etc. Python绘图Matplotlib之坐标轴及刻度总结 See wire3d_animation_demo for another simple example of animating a 3D plot. random. 1) get_test_data: it returns a tuple X, Y, Z with a test data set. Besides 3D wires, and planes, one of the most popular 3-dimensional graph types is 3D scatter plots. … Initialize a variable, N, for number of sample data. import numpy from matplotlib import pyplot, transforms data = numpy.random.randn(100) # first of all, the base transformation of the data points is needed base = pyplot.gca().transData rot = transforms.Affine2D().rotate_deg(90) # define transformed line line = pyplot.plot(data, 'r--', transform= rot + base) # or alternatively, use: # line.set_transform(rot + base) pyplot.show() Matplotlib 3D Projection - Delft Stack