On Tue, Aug 12, 2014 at 12:51 PM, Eelco Hoogendoorn < [email protected]> wrote:
> ah yes, that's also an issue I was trying to deal with. the semantics I > prefer in these type of operators, is (as a default), to have every array > be treated as a sequence of keys, so if calling unique(arr_2d), youd get > unique rows, unless you pass axis=None, in which case the array is > flattened. > > I also agree that the extension you propose here is useful; but ideally, > with a little more discussion on these subjects we can converge on an > even more comprehensive overhaul > > > On Tue, Aug 12, 2014 at 6:33 PM, Joe Kington <[email protected]> > wrote: > >> >> >> >> On Tue, Aug 12, 2014 at 11:17 AM, Eelco Hoogendoorn < >> [email protected]> wrote: >> >>> Thanks. Prompted by that stackoverflow question, and similar problems I >>> had to deal with myself, I started working on a much more general extension >>> to numpy's functionality in this space. Like you noted, things get a little >>> panda-y, but I think there is a lot of panda's functionality that could or >>> should be part of the numpy core, a robust set of grouping operations in >>> particular. >>> >>> see pastebin here: >>> http://pastebin.com/c5WLWPbp >>> >> >> On a side note, this is related to a pull request of mine from awhile >> back: https://github.com/numpy/numpy/pull/3584 >> >> There was a lot of disagreement on the mailing list about what to call a >> "unique slices along a given axis" function, so I wound up closing the pull >> request pending more discussion. >> >> At any rate, I think it's a useful thing to have in "base" numpy. >> >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > Update: I renamed the function to `table` in the pull request: https://github.com/numpy/numpy/pull/4958 Warren
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