Plot scatter points on a 3D projection with varying marker size in Matplotlib

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To plot scatter points on a 3D projection with varying marker size, we can take the following steps

Set the figure size and adjust the padding between and around the subplots.
Create xs, ys and zs data points using numpy
Initialize a variable 's' for varying size of marker.
Create a figure or activate an existing figure using figure() method.
Add an axes to the current figure as a subplot arrangement using subplots() method.
Plot the xs, ys, and zs data points using scatter() method.
To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
xs = np.random.randint(low=8, high=30, size=35)
ys = np.random.randint(130, 195, 35)
zs = np.random.randint(30, 160, 35)
s = zs / ((ys * 0.01) ** 2)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(ys, zs, xs, s=s * 5, c=xs, cmap='copper')
plt.show()