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 Chuck
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