问题描述
在python中存储和分析高维日期的最佳方法是什么?我喜欢Pandas DataFrame和Panel，可以在其中轻松操作轴.现在，我有一个超多维数据集(昏暗> = 4)的数据.我一直在考虑诸如面板的字典，作为面板条目的元组之类的东西.我想知道Python中是否有一个高调面板对象.
What is best way to store and analyze high-dimensional date in python? I like Pandas DataFrame and Panel where I can easily manipulate the axis. Now I have a hyper-cube (dim >=4) of data. I have been thinking of stuffs like dict of Panels, tuple as panel entries. I wonder if there is a high-dim panel thing in Python.
更新16年5月20日:非常感谢您的所有回答.我已经尝试过MultiIndex和xArray，但是我无法对它们中的任何一个发表评论.在我的问题中，我会尝试使用ndarray，因为我发现标签不是必不可少的，可以将其单独保存.
update 20/05/16:Thanks very much for all the answers. I have tried MultiIndex and xArray, however I am not able to comment on any of them. In my problem I will try to use ndarray instead as I found the label is not essential and I can save it separately.
更新16/09/16:我最后来使用MultiIndex.起初，操作它的方法非常棘手，但我现在已经习惯了.
update 16/09/16:I came up to use MultiIndex in the end. The ways to manipulate it are pretty tricky at first, but I kind of get used to it now.
推荐答案
MultiIndex对于高维数据最有用，如，因为它允许您在DataFrame环境中使用任意数量的尺寸.
MultiIndex is most useful for higher dimensional data as explained in the docs and this SO answer because it allows you to work with any number of dimension in a DataFrame environment.
除了Panel之外，还有 Panel4D -目前处于实验阶段.鉴于MultiIndex的优点，我不建议使用此版本或三维版本.与这些数据结构相比，我认为这些数据结构不会吸引太多人，而且的确会被淘汰.
In addition to the Panel, there is also Panel4D - currently in experimental stage. Given the advantages of MultiIndex I wouldn't recommend using either this or the three dimensional version. I don't think these data structures have gained much traction in comparison, and will indeed be phased out.
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