Hi, Suppose I have a 3-dimansional array, where one dimension is time. I'm not particularly interested in selecting specific moments in time, so most of the time I won't be indexing this dimension.
Intuitively, one would make time the third dimension, but if you do that you have to specifiy the time in every index, which is annoying, because then all indices must start with an empty slice, e.g., a[:,1] a[:,:,3] a[:,0,1] etc. On the other hand, the arrays resulting from indexing have all elements sorted by time, which is a good thing. Then, if I change it and make time the first dimension, it's handy because I can omit time in indices, BUT then the sub-arrays produced by indexing are not sorted by time! Is it possible to change the way numpy traverses the array, so that it moves "less" on the first dimension (instead of the default, which is to move less on the last dimension), so that I get arrays sorted by time when time is not on the last dimension? Thanks. Ernest _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
