我也找不到任何方法,所以这是我的解决方法:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = plt.axes(projection='3d')
ax.set_aspect('equal')
# Draw centered axes
val = [1,0,0]
labels = ['x', 'y', 'z']
colors = ['r', 'g', 'b']
for v in range(3):
x = [val[v-0], -val[v-0]]
y = [val[v-1], -val[v-1]]
z = [val[v-2], -val[v-2]]
ax.plot(x,y,z,'k-', linewidth=1)
ax.text(val[v-0], val[v-1], val[v-2], labels[v], color=colors[v], fontsize=20)
# Hide everything else
# Hide axes ticks
ax.set_xticks([])
ax.set_yticks([])
ax.set_zticks([])
# make the panes transparent
ax.xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
# Hide box axes
ax._axis3don = False
# Expand to remove white space
ax.set_xlim(np.array([-1,1])*.57)
ax.set_ylim(np.array([-1,1])*.57)
ax.set_zlim(np.array([-1,1])*.57)
plt.tight_layout()
plt.show()