英文:
3d scatter plot is displaying a black window
问题
这是一个Matplotlib在我的本地环境上显示黑色窗口的示例。
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()
我知道问题不是出现在我的后端，因为其他人已经报告过类似的问题，我可以在这个网站上正常运行这段代码：
https://matplotlib.org/2.0.2/examples/mplot3d/subplot3d_demo.html
英文:
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
答案1
得分: 1
ax = fig.add_subplot(projection='3d', elev=4, azim=-95)不要ax = Axes3D(fig, elev=4, azim=-95)，就像 示例 中显示的那样。- 在
python 3.11.3、matplotlib 3.7.1中测试过
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()
英文:
ax = fig.add_subplot(projection='3d', elev=4, azim=-95)notax = Axes3D(fig, elev=4, azim=-95), just like it shows in the example.- Tested in
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()
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