On Mon, Feb 15, 2016 at 11:05 PM, Charles R Harris < charlesr.har...@gmail.com> wrote:
> > > On Mon, Feb 15, 2016 at 8:50 PM, <josef.p...@gmail.com> wrote: > >> >> >> 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 >>> >> > Looks like a misleading error message. Apparently it requires scalar > arrays (ndim == 0) > > In [3]: list(range(5))[np.array(0)] > Out[3]: 0 > We have a newer version of essentially same function a second time that uses squeeze and that seems to work fine. Just to understand Why does this depend on the numpy version? I would have understood that this always failed, but this code worked for several years. https://github.com/statsmodels/statsmodels/issues/2817 Josef > > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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