在Matplotlib 3D图中获取视角/摄像机角度?

本文介绍了在Matplotlib 3D图中获取视角/摄像机角度?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

当我用鼠标旋转我的 Matplotlib 3D 绘图时，如何保存视角/相机位置，并在下次运行脚本时使用这些值以编程方式设置视角?

How can I save the viewing angle / camera position when I've rotated my Matplotlib 3D plot with my mouse, and use those values to set the viewing angle programmatically the next time I run my script?

TL;DR

视角以elev 和azim 名称存储在图形的axis-object 中，视图可以通过plt.gca 设置().view_init(elev, azim).

TL;DR

The viewing angles are stored in the axis-object of the figure under the names elev and azim, and the view can be set with plt.gca().view_init(elev, azim).

导入库并生成要绘制的数据:

Import libraries and generate data to plot:

import matplotlib as mpl  # noqa
from mpl_toolkits.mplot3d import Axes3D  # noqa
import matplotlib.pyplot as plt
import numpy as np
mpl.style.use('seaborn')

np.random.seed(11)
n = 200
x = y = np.linspace(-10, 10, n)
z = np.random.randn(n)*3 + 2

现在绘制数据:

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(x, y, z)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')

我们显示该图并调整视角，直到看起来不错为止.一旦将其关闭，便会打印出仰角和方位角变量.

We show the plot and adjust the viewing angles until it looks nice.Once we close it, the elevation and azimuth-angle variables are printed.

plt.show()

print('ax.azim {}'.format(ax.azim))
print('ax.elev {}'.format(ax.elev))

一旦有了这些值，就可以使用

Once you have those values, you can set the viewing angles programmatically using

ax.view_init(elev, azim)

示例图 - 在调整到 ax.azim = -164.5 和 ax.elev = 51.25 之前和之后.

Example plots — before adjusting and after adjusting to ax.azim = -164.5 and ax.elev = 51.25.

此外，这里有一个完整的脚本，如果您想尝试一下，可以将其复制粘贴:

Also, here's an entire script, which you can copy paste to if you'd like to try it out:

#!/usr/bin/env pythonw
import matplotlib as mpl  # noqa
from mpl_toolkits.mplot3d import Axes3D  # noqa
import matplotlib.pyplot as plt
import numpy as np
mpl.style.use('seaborn')


# ****************************************************************************
# *                               Create data                                *
# ****************************************************************************
np.random.seed(11)
n = 200
x = y = np.linspace(-10, 10, n)
z = np.random.randn(n)*3 + 2


# ****************************************************************************
# *                                 Plot data                                *
# ****************************************************************************
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(x, y, z)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')

# # If we knew what angles we wanted to set, these lines will set it
# elev = 42.0
# azim = 105.5
# ax.view_init(elev, azim)

# Show the figure, adjust it with the mouse
plt.show()

# Once the figure is closed, the azimutal angle and the elevation will
# be printed. They may be used as input for ax.view_init(elev, azim)
print('ax.azim {}'.format(ax.azim))
print('ax.elev {}'.format(ax.elev))

这篇关于在Matplotlib 3D图中获取视角/摄像机角度?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

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