On 16/03/16 08:36, Matt Williams wrote: > Dear Tutors, > > I am looking for some advice. I have some data that has three dimensions to > it. I would like to store it such that one could manipulate (query/ update/ > etc.) by dimension - so it would be feasible to ask for all of the data > that shares a value in d1, or iterate over all of the values via d2.
My personal approach to that tends to be to use a database. If performance is an issue maybe an in-memory SQLIte database. There may be things in NumPy that would help too. Pandas is another possibility. And I suspect R (via Rpy2) can do such tricks too if you know R (otherwise go with Pandas). HTH -- Alan G Author of the Learn to Program web site http://www.alan-g.me.uk/ http://www.amazon.com/author/alan_gauld Follow my photo-blog on Flickr at: http://www.flickr.com/photos/alangauldphotos _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
