Matplotlib 如何设置固定在轴上的三维散点图的标记大小？

我以前问过类似的问题（），但现在我想在3D中做。我该怎么做

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谢谢

在2D情况下，您需要自己绘制球体。如果你想要形状优美的球体，这意味着要画很多补丁，因此速度会很快变慢

下面是一个基本的方法：

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

def plot_shere(ax, x, y, z, r, resolution=100, **kwargs):
    """ simple function to plot a sphere to a 3d axes """

    u = np.linspace(0, 2 * np.pi, resolution)
    v = np.linspace(0, np.pi, resolution)

    xx = r * np.outer(np.cos(u), np.sin(v)) + x
    yy = r * np.outer(np.sin(u), np.sin(v)) + y
    zz = r * np.outer(np.ones(np.size(u)), np.cos(v)) + z

    ax.plot_surface(xx, yy, zz,  rstride=4, cstride=4, **kwargs)

# create some random data (set seed to make it reproducable)
np.random.seed(0)
(x,y,z) = np.random.randint(0,10,(3,5))
r = np.random.randint(2,4,(5,))

# set up the figure
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# loop through the data and plot the spheres
for p in zip(x,y,z,r):
    plot_shere(ax, *p, edgecolor='none', color=np.random.rand(3))

# set the axes limits and show the plot
ax.set_ylim([-4,14])
ax.set_xlim([-4,14])
ax.set_zlim([-4,14])
plt.show()

结果: