blocks|key|1157908|text|我有一个非常粗略的想法，这可能是一个有用的起点，尽管它需要相当多的充实，才能看起来适当的专业。你的数据给出了每个行星在给定时间点在空间中的位置吗？如果是这样，您可以：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1157909|1)如果你的位置数据最初是3-D的，那么将它投影到twospace中(允许你使用2-D方法来表示看起来仍然在屏幕上以3-D形式显示的数据)|1157910|2)结果应该是一系列存储行星位置的2-D矩阵。如果矩阵元素对应于行星的位置，则矩阵元素为1，否则矩阵元素为0。(如果要绘制矩阵，它看起来就像黑色背景上的几个白点。)|1157911|3)使用使用形态膨胀来获取每个位置点，并将其相邻点的值设置为1而不是0，这样当您绘制时，您将获得一组以步骤(2)中的点为中心的圆盘状白色对象。|1157912|4)使用程序将(3)中的每个矩阵写入一个图像文件，并将它们放在一个公共文件夹中。|1157913|5)在运行时，使用另一个程序从文件夹中一次导入一张图像，并在同一图形窗口的屏幕上显示它们。结果应该是，代表时间t的行星的每一张图像都替换了时间(t-1)的图片。这在视觉上看起来应该与在该窗口中播放视频文件的效果相同。|1157914|最终的结果将是在黑色背景下的轨道上的一群白色圆圈的运动图像显示。这会有用吗？|1157915|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|S|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|T|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|U|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|V|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|O|$]]

I have a very rough idea that might be useful as a starting point, although it would need quite a bit of fleshing out in order to look properly professional. Does your data give the position of each planet in space at a given point in time? If so, you could:

1) Project your position data into twospace if it was originally 3-D (allowing you to use 2-D methods to represent data that still looks like it's being displayed in 3-D on the screen)

2) The result should be a series of 2-D matrices storing the locations of your planets. Let the matrix elements be 1 if they correspond to the location of a planet, and let them be 0 otherwise. (If you were to plot the matrix, it would look like a handful of white dots on a black background.)

3) Use the use morphological dilation to take every position point and set the values of their neighbors to 1 instead of 0, so that when you plot you get a set of disc-shaped white objects centered on the points from step (2).

4) Use a program to write each matrix from (3) to an image file, and put them in a common folder.

5) At runtime, use another program to import each image from the folder one at a time, displaying them on the screen in the same figure window. The result should be that each image representing the planets at time t replaces the picture for time (t-1). This should look optically the same as if a video file were playing in that window. 

The end result would be a moving-picture show of a bunch of white circles in orbit against a black background. Would that be useful?

blocks|key|4475652|text|对于这种类型的可视化，我使用了几种方法(都是通过Python)：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4475653|VPython非常容易学习，你可以在几分钟内获得行星围绕太阳旋转的动态3D可视化。也有一些贡献可以帮助制作电影，但我还没有用过这些。|offset|length|4475654|也可以直接使用OpenGL，比如通过wxPython窗口中的PyOpenGL，或者使用PyGlet。这种方法比VPython更基本，可能需要更长的时间，而我知道的唯一制作电影的方法是通过屏幕截图等。|4475655|VTK是一个非常令人印象深刻的3D可视化库，但学习起来要难得多。VTK，像其他的一样，将进行开箱即用的动态可视化，并且它是唯一一个具有用于制作图像和电影的内置模块。虽然它是一个复杂得多的库，但如果你想让行星围绕恒星旋转，并在矢量场离子风暴中绘制气体云的等高线图，VTK可以做到。还有MayaVi，它使得VTK更容易访问和交互。|4475656|entityMap|0|LINK|mutability|MUTABLE|url|http://vpython.org/|1|http://pyopengl.sourceforge.net/|2|http://www.pyglet.org/|3|http://www.vtk.org/|4|http://code.enthought.com/projects/mayavi/^0|0|0|7|0|0|U|8|1|17|6|2|0|0|3|3|3X|6|4|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|10|8|@]|9|@$D|11|E|12|1|13]]|A|$]]|$1|F|3|G|5|6|7|14|8|@]|9|@$D|15|E|16|1|17]|$D|18|E|19|1|1A]]|A|$]]|$1|H|3|I|5|6|7|1B|8|@]|9|@$D|1C|E|1D|1|1E]|$D|1F|E|1G|1|1H]]|A|$]]|$1|J|3|-4|5|6|7|1I|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]|R|$5|M|N|O|A|$P|S]]|T|$5|M|N|O|A|$P|U]]|V|$5|M|N|O|A|$P|W]]|X|$5|M|N|O|A|$P|Y]]]]

There are several approaches that I've used (all via Python) for this type of visualization:

<a href="http://vpython.org/" rel="nofollow noreferrer">VPython</a> is super easy to learn and you'll be able to get dynamic 3D visualization of planets spinning around a sun in minutes. There are contributions to help make movies as well, but I haven't used these.

One can also just use OpenGL directly, via, say, <a href="http://pyopengl.sourceforge.net/" rel="nofollow noreferrer">PyOpenGL</a> within a wxPython window, or, using, for example, <a href="http://www.pyglet.org/" rel="nofollow noreferrer">PyGlet</a>. This approach is a bit more basic than VPython and will probably take longer to do, and the only way I know to make movies is via screenshots, etc.

<a href="http://www.vtk.org/" rel="nofollow noreferrer">VTK</a> is an very impressive 3D visualization library, but is much harder to learn. VTK, like the others, will do dynamic visualization out-of-the-box, and it's the only one that has a built-in module for making images and movies. It is, though, a much more complicated library, but if you want planets spinning around a star, with a contour plot of a gas cloud, in the midst of a vector-field ion-storm, VTK can do it. There's also <a href="http://code.enthought.com/projects/mayavi/" rel="nofollow noreferrer">MayaVi</a> which makes VTK a bit more accessible and interactive.

I'm working in a course's project to predict the velocity and position of the solar system planets (and other objects). It will be really cool if I can visualize the predicted objects data, if it's possible generating 3D images, if in video that's amazing. 
 Do you know any library that lets me to use this data to generate an image or video? (I don't care in which language)

Data: 
- simulation step (time line step for a video) 
- positions of the objects 
- radius and/or colours of the objects 

Thanks in advance, any suggestion is welcome.

Generating video or images of geometrical objects from data

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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