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3D Points and Lines
Now that you know what 3D projection is, it’s time to actually plot something. Let’s start with something simple like 3D points and lines. As you remember, in 2D we use the ax.plot method to plot lines and the ax.scatter method to plot points. They both have counterparts in 3D, ax.plot3D and ax.scatter3D respectively.
So, without further ado, let’s plot a line in 3D. Let’s use some trigonometry to plot a spiral.
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits import mplot3d
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
# Let's define the data first.
z = np.linspace(0, 30, 1000)
x = np.sin(z)
y = np.cos(z)
# Let's plot.
ax.plot3D(x, y, z, 'g')
And now let’s plot some points. We can use the same example as before, but let’s reduce the number of points to 200 so that we can see them as separate points.
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
# Let's define the data first.
z = np.linspace(0, 30, 200)
x = np.sin(z)
y = np.cos(z)
# Let's plot.
ax.scatter3D(x, y, z, color='r')
As you can see, the points that are further away from us in the 3D space are more faded that the ones closer to us.
Make Awesome Games and Other 3D Apps
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