On Fri, Oct 16, 2015 at 2:21 PM, Charles R Harris <charlesr.har...@gmail.com > wrote:
> > > On Fri, Oct 16, 2015 at 12:20 PM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Fri, Oct 16, 2015 at 11:58 AM, <josef.p...@gmail.com> wrote: >> >>> was there a change with reduce operations with recarrays in 1.10 or >>> 1.10.1? >>> >>> Travis shows a new test failure in the statsmodels testsuite with 1.10.1: >>> >>> ERROR: test suite for <class >>> 'statsmodels.base.tests.test_data.TestRecarrays'> >>> >>> File >>> "/home/travis/miniconda/envs/statsmodels-test/lib/python2.7/site-packages/statsmodels-0.8.0-py2.7-linux-x86_64.egg/statsmodels/base/data.py", >>> line 131, in _handle_constant >>> const_idx = np.where(self.exog.ptp(axis=0) == 0)[0].squeeze() >>> TypeError: cannot perform reduce with flexible type >>> >>> >>> Sorry for asking so late. >>> (statsmodels is short on maintainers, and I'm distracted) >>> >>> >>> statsmodels still has code to support recarrays and structured dtypes >>> from the time before pandas became popular, but I don't think anyone is >>> using them together with statsmodels anymore. >>> >>> >> There were several commits dealing both recarrays and ufuncs, so this >> might well be a regression. >> >> > A bisection would be helpful. Also, open an issue. > The reason for the test failure might be somewhere else hiding behind several layers of statsmodels, but only started to show up with numpy 1.10.1 I already have the reduce exception with my currently installed numpy '1.9.2rc1' >>> x = np.random.random(9*3).view([('const', 'f8'),('x_1', 'f8'), ('x_2', 'f8')]).view(np.recarray) >>> np.ptp(x, axis=0) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\programs\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\site-packages\numpy\core\fromnumeric.py", line 2047, in ptp return ptp(axis, out) TypeError: cannot perform reduce with flexible type Sounds like fun, and I don't even know how to automatically bisect. Josef > > Chuck > > _______________________________________________ > 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