We already use the word "stack" in lots of function names to refer to something different from what bmat does. So while I definitely agree we should have something like bmat for ndarrays, it would be better all the to just pick a different name. np.block, even, might do the job.
On Mar 16, 2015 1:50 AM, "Stefan Otte" <stefan.o...@gmail.com> wrote: > > 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
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