I would add a numpy/_distributor_init.py module and unconditionally import
it in the __init__.py. It's contents in our upstream sources would just be
a docstring:
"""Distributors! Put your initialization code here!
"""
One important technical benefit is that the unconditional import won't hide
Im
Hello,
This is my first e-mail, I will try to make the idea simple.
Similar to masked array it would be interesting to use a label array to
guide operations.
Ex.:
>>> x
labelled_array(data =
[[0 1 2]
[3 4 5]
[6 7 8]],
label =
[[0 1 2]
[0 1 2]
[0 1 2]])
>>> sum(x)
a
Seems like you are talking about xarray: https://github.com/pydata/xarray
Cheers!
Ben Root
On Fri, Feb 12, 2016 at 9:40 AM, Sérgio wrote:
> Hello,
>
> This is my first e-mail, I will try to make the idea simple.
>
> Similar to masked array it would be interesting to use a label array to
> guide
Re-reading your post, I see you are talking about something different. Not
exactly sure what your use-case is.
Ben Root
On Fri, Feb 12, 2016 at 9:49 AM, Benjamin Root wrote:
> Seems like you are talking about xarray: https://github.com/pydata/xarray
>
> Cheers!
> Ben Root
>
> On Fri, Feb 12, 20
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 add
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 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,
> A
Hi,
We're talking about putting up Windows wheels for numpy on pypi -
here: https://github.com/numpy/numpy/issues/5479
I've built some wheels that might be suitable - available here:
http://nipy.bic.berkeley.edu/scipy_installers/atlas_builds/
I'd be very grateful if y'all would test these. They
At 03:06 PM 2/12/2016, you wrote:
Any feedback would be very useful,
Sure, here's a little:
C:\Python34\Scripts>pip install -f
https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds numpy
Requirement already satisfied (use --upgrade to upgrade): numpy in
c:\python34\lib\site-packages
On Fri, Feb 12, 2016 at 3:15 PM, R Schumacher wrote:
> At 03:06 PM 2/12/2016, you wrote:
>
>> Any feedback would be very useful,
>
>
> Sure, here's a little:
>
> C:\Python34\Scripts>pip install -f
> https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds numpy
> Requirement already satisfied (
Hello all,
In 2009 I developed an application that uses a subclass of masked arrays as a
central data object. My subclass Spectrum possesses additional attributes along
with many custom methods. It was very convenient to be able to use standard
numpy functions for doing arithmetic on these obje
At 03:45 PM 2/12/2016, you wrote:
PS C:\tmp> c:\Python35\python -m venv np-testing
PS C:\tmp> .\np-testing\Scripts\Activate.ps1
(np-testing) PS C:\tmp> pip install -f
https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds numpy nose
C:\Python34\Scripts>pip install "D:\Python
distros\nump
On Fri, Feb 12, 2016 at 8:18 PM, R Schumacher wrote:
> At 03:45 PM 2/12/2016, you wrote:
>>
>> PS C:\tmp> c:\Python35\python -m venv np-testing
>> PS C:\tmp> .\np-testing\Scripts\Activate.ps1
>> (np-testing) PS C:\tmp> pip install -f
>> https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds n
AFAIK the vcvarsall.bat error occurs when your MSVC directories aren't
properly linked in your system registry, so Python cannot find the file.
This is not a numpy-specific issue, so I certainly would agree that that
failure is not blocking.
Other than that, this build contains the mingw32.lib bug
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