Hey, > 1. np.stack for stacking like np.asarray(np.bmat(...)) > http://thread.gmane.org/gmane.comp.python.numeric.general/58748/ > https://github.com/numpy/numpy/pull/5057
I'm the author of this proposal. I'll just give some context real quickly. "My stack" started really simple, basically allowing a Matlab-like notation for stacking: matlab: [ a b; c d ] numpy: stack([[a, b], [c, d]]) or even stack([a, b], [c, d]) where a, b, c, and d a arrays. During the discussion people asked for fancier stacking and auto filling of non explicitly set blocks (think of an "eye" matrix where only certain blocks are set). Alternatively, we thought of refactoring the core of bmat [2] so that it can be used with arrays and matrices. This would allow stack("a b; c d") where a, b, c, and d are the names of arrays/matrices. (Also bmat would get better documentation during the refactoring :)). Summarizing, my proposal is mostly concerned how to create block arrays from given arrays. I don't care about the name "stack". I just used "stack" because it replaced hstack/vstack for me. Maybe "bstack" for block stack, or "barray" for block array? I have the feeling [1] that my use case is more common, but I like the second proposal. Cheers, Stefan [1] Everybody generalizes from oneself. At least I do. [2] http://docs.scipy.org/doc/numpy/reference/generated/numpy.bmat.html _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion