Python 木星| 如何旋转 3D 图形
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Jupyter | How to rotate 3D graph
提问by Vineet
I am not sure about how to rotate graph in Python Jupyter notebook, its static for me and not rotate on mouse movement
我不确定如何在 Python Jupyter notebook 中旋转图形，它对我来说是静态的，而不是在鼠标移动时旋转
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x =[1,2,3,4,5,6,7,8,9,10]
y =[5,6,2,3,13,4,1,2,4,8]
z =[2,3,3,3,5,7,9,11,9,10]
ax.scatter(x, y, z, c='r', marker='o')
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
回答by Hannes Ovrén
To enable interactivity you need to use the notebookbackend of matplotlib. You can do this by running %matplotlib notebook.
要启用交互性，您需要使用notebookmatplotlib的后端。你可以通过运行来做到这一点%matplotlib notebook。
This must be done before you plot anything, e.g.:
这必须在绘制任何内容之前完成，例如：
%matplotlib notebook
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
fig = ...
回答by alexchet
As described on matplotlib website you can create an interactive graph by importing mplot3d. Please use the following sample Rotate Axes.
如 matplotlib 网站所述，您可以通过导入mplot3d. 请使用以下示例旋转轴。
I am going to include the code just in case the link is not available in future.
我将包含代码，以防将来链接不可用。
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
%matplotlib notebook
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# load some test data for demonstration and plot a wireframe
X, Y, Z = axes3d.get_test_data(0.1)
ax.plot_wireframe(X, Y, Z, rstride=5, cstride=5)
# rotate the axes and update
for angle in range(0, 360):
ax.view_init(30, angle)
plt.draw()
plt.pause(.001)
