Here is an example of matplotlib displaying a black window on my local environment.
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
fig = plt.figure()
ax = Axes3D(fig, elev=4, azim=-95)
xs, ys, zs = np.linspace(-2, 2, 60), np.linspace(-2, 2, 60), np.linspace(-2, 2, 60)
ax.scatter(xs=xs, ys=xs, zs=xs)
plt.show()
I know the issue is not my backend as others have reported, since I can run the snippet at this site fine:
https://matplotlib.org/2.0.2/examples/mplot3d/subplot3d_demo.html
ax = fig.add_subplot(projection='3d', elev=4, azim=-95)
not ax = Axes3D(fig, elev=4, azim=-95)
, just like it shows in the example.python 3.11.3
, matplotlib 3.7.1
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(projection='3d', elev=4, azim=-95)
xs, ys, zs = np.linspace(-2, 2, 60), np.linspace(-2, 2, 60), np.linspace(-2, 2, 60)
ax.scatter(xs=xs, ys=xs, zs=xs)
plt.show()