[Numpy-discussion] numpy 1.10.1 reduce operation on recarrays

[josef.pktd at gmail.com]

On Fri, Oct 16, 2015 at 2:21 PM, Charles R Harris <charlesr.harris at gmail.com
> wrote:

>
>
> On Fri, Oct 16, 2015 at 12:20 PM, Charles R Harris <
> charlesr.harris at gmail.com> wrote:
>
>>
>>
>> On Fri, Oct 16, 2015 at 11:58 AM, <josef.pktd at 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 at scipy.org
> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20151016/89f308c1/attachment.html>