On Mon, Feb 15, 2016 at 10:46 PM, <josef.p...@gmail.com> wrote: > > > On Fri, Feb 12, 2016 at 4:19 PM, Nathan Goldbaum <nathan12...@gmail.com> > wrote: > >> https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst >> >> On Fri, Feb 12, 2016 at 3:17 PM, Andreas Mueller <t3k...@gmail.com> >> wrote: >> >>> Hi. >>> Where can I find the changelog? >>> It would be good for us to know which changes are done one purpos >>> without hunting through the issue tracker. >>> >>> Thanks, >>> Andy >>> >>> >>> On 02/09/2016 09:09 PM, Charles R Harris wrote: >>> >>> Hi All, >>> >>> I'm pleased to announce the release of NumPy 1.11.0b3. This beta >>> contains additional bug fixes as well as limiting the number of >>> FutureWarnings raised by assignment to masked array slices. One issue that >>> remains to be decided is whether or not to postpone raising an error for >>> floats used as indexes. Sources may be found on Sourceforge >>> <https://sourceforge.net/projects/numpy/files/NumPy/1.11.0b3/> and both >>> sources and OS X wheels are availble on pypi. Please test, hopefully this >>> will be that last beta needed. >>> >>> As a note on problems encountered, twine uploads continue to fail for >>> me, but there are still variations to try. The wheeluploader downloaded >>> wheels as it should, but could not upload them, giving the error message >>> "HTTPError: 413 Client Error: Request Entity Too Large for url: >>> <https://www.python.org/pypi>https://www.python.org/pypi";. Firefox also >>> complains that http://wheels.scipy.org is incorrectly configured with >>> an invalid certificate. >>> >>> Enjoy, >>> >>> Chuck >>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing >>> listNumPy-Discussion@scipy.orghttps://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> https://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > (try to send again)
> > another indexing question: (not covered by unit test but showed up in > examples in statsmodels) > > > This works in numpy at least 1.9.2 and 1.6.1 (python 2.7, and python 3.4) > > >>> list(range(5))[np.array([0])] > 0 > > > > on numpy 0.11.0b2 (I'm not yet at b3) (python 3.4) > > I get the same exception as here but even if there is just one element > > > >>> list(range(5))[np.array([0, 1])] > Traceback (most recent call last): > File "<pyshell#7>", line 1, in <module> > list(range(5))[np.array([0, 1])] > TypeError: only integer arrays with one element can be converted to an > index > > > the actual code uses pop on a python list with a return from > np.where(...)[0] that returns a one element int64 array > > Josef >
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