在python中将2D图形转换为3D

Question

In 2D I have my x that gets the value of the x and y coordinates:

x = [[0.72,0.82]]

And at some point in the code I use this:

plt.plot(x[i][0], x[i][1], 'go', markersize=15, alpha=.5)

Now I have an x that gets the value of the x, y, and z coordinates:

x = [[0.72,0.82,-0.77]]

And I want to reproduce the same effect of 2D only now in 3D, I tried to do something like:

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlim(-1, 1)
ax.set_ylim(-1, 1)
ax.set_zlim(-1, 1)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

ax.scatter(x[i][0], x[i][1], x[i][2], 'go', markersize=15, alpha=.5)

But I get the following error:

AttributeError: Unknown property markersize

PS: I'm using:

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

I'd like to know how can I plot them correctly.

Answer 1

Check matplotlib reference for ax.scatter arguments, markerzise and alpha are not there, to change points' size you should use s argument, something like:

ax.scatter(xs, ys, zs, s=10, c=c, marker=m)

Notice s can also be an array of the same length as xs if you want points' size to be proportional to it's xs value.