我已经设置并绘制了一个散点图，想要创建一个 .mp4 格式的视频，让图形在空间中旋转，就像我使用了 plt.show() 并拖动了观察点一样。
这个答案 几乎是我想要的，但是要保存电影，我需要手动调用 FFMpeg 并提供包含图像的文件夹。我更喜欢使用 Matplotlib 的内置动画支持，下面是代码：
from mpl_toolkits.mplot3d import Axes3D
ax = Axes3D(fig)
ax.scatter(xx,yy,zz, marker='o', s=20, c="goldenrod", alpha=0.6)
for ii in xrange(0,360,1):
ax.view_init(elev=10., azim=ii)
savefig("movie"%ii+".png")
matplotlib动画的内容，你应该真正地跟随这个教程。它详细地解释了如何创建动态图。
注意：创建动态图需要安装ffmpeg或mencoder。# First import everthing you need
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
from mpl_toolkits.mplot3d import Axes3D
# Create some random data, I took this piece from here:
# http://matplotlib.org/mpl_examples/mplot3d/scatter3d_demo.py
def randrange(n, vmin, vmax):
return (vmax - vmin) * np.random.rand(n) + vmin
n = 100
xx = randrange(n, 23, 32)
yy = randrange(n, 0, 100)
zz = randrange(n, -50, -25)
# Create a figure and a 3D Axes
fig = plt.figure()
ax = Axes3D(fig)
# Create an init function and the animate functions.
# Both are explained in the tutorial. Since we are changing
# the the elevation and azimuth and no objects are really
# changed on the plot we don't have to return anything from
# the init and animate function. (return value is explained
# in the tutorial.
def init():
ax.scatter(xx, yy, zz, marker='o', s=20, c="goldenrod", alpha=0.6)
return fig,
def animate(i):
ax.view_init(elev=10., azim=i)
return fig,
# Animate
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=360, interval=20, blit=True)
# Save
anim.save('basic_animation.mp4', fps=30, extra_args=['-vcodec', 'libx264'])
blit需要返回值才能正常工作，但是这个库的那一部分对我来说仍然有些难以理解。（我已经给答案点了赞）。 - tacaswellmatplotlib 开发者！我会尝试从中学习，并根据你的建议行事（比如昨天关于问题标记的建议）。所以请在任何时候都纠正我，如果你认为我做错了什么 :). 这符合 SO 社区和我的学习过程的利益。只是上一个问题我们有轻微的方法论分歧，所以我加了这个玩笑，因为我知道你会阅读所有的 matplotlib 问题 :) - Viktor Kerkezinit 和 animate 函数中都需要添加 return()。 - Eric我在研究如何使用matplotlib给我的绘图添加动画效果时，偶然发现了这篇文章： http://zulko.wordpress.com/2012/09/29/animate-your-3d-plots-with-pythons-matplotlib/
它提供了一个简单的函数来围绕绘图添加动画效果，并可以以多种格式输出。
pip install pillow。来源：https://github.com/ipython/ipython/issues/8052 - F.S.# First import everthing you need
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
from mpl_toolkits.mplot3d import Axes3D
# Create some random data, I took this piece from here:
# http://matplotlib.org/mpl_examples/mplot3d/scatter3d_demo.py
def randrange(n, vmin, vmax):
return (vmax - vmin) * np.random.rand(n) + vmin
n = 100
xx = randrange(n, 23, 32)
yy = randrange(n, 0, 100)
zz = randrange(n, -50, -25)
# Create a figure and a 3D Axes
fig = plt.figure()
ax = Axes3D(fig)
scat = ax.scatter(xx, yy, zz, marker='o', s=20, c="goldenrod", alpha=0.6)
# Create an init function and the animate functions.
# Both are explained in the tutorial. Since we are changing
# the the elevation and azimuth and no objects are really
# changed on the plot we don't have to return anything from
# the init and animate function. (return value is explained
# in the tutorial.
def init():
ax.view_init(elev=10., azim=0)
return [scat]
def animate(i):
ax.view_init(elev=10., azim=i)
return [scat]
# Animate
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=360, interval=20, blit=True)
# Save
anim.save('basic_animation.mp4', fps=30, extra_args=['-vcodec', 'libx264'])
这种方法有点不正规，但如果您正在使用Jupyter笔记本电脑，您可以使用单元格魔法直接从笔记本电脑运行ffmpeg的命令行版本。在一个单元格中运行您的脚本以生成原始帧。
from mpl_toolkits.mplot3d import Axes3D
ax = Axes3D(fig)
ax.scatter(xx,yy,zz, marker='o', s=20, c="goldenrod", alpha=0.6)
for ii in xrange(0,360,1):
ax.view_init(elev=10., azim=ii)
savefig("movie%d.png" % ii)
%%bash
ffmpeg -r 30 -i movie%d.png -c:v libx264 -vf fps=25 -pix_fmt yuv420p out.mp4