On May 20, 2012, at 12:15 AM, Charles R Harris wrote:
>
>
> On Sat, May 19, 2012 at 10:48 PM, Travis Oliphant wrote:
> >
> > My own plan for the near term would be as follows:
> >
> > 1) Put in the experimental option and get the 1.7 release out. This gets us
> > through the next couple of mo
On Sat, May 19, 2012 at 10:48 PM, Travis Oliphant wrote:
> >
> > My own plan for the near term would be as follows:
> >
> > 1) Put in the experimental option and get the 1.7 release out. This gets
> us through the next couple of months and keeps things moving.
> >
>
> The "experimental" option doe
Wow, Nathaniel. This looks like a nice piece of tedious work. I have not
reviewed it in detail, but in general I would be very supportive of your plan
to commit this to master, make a 1.7 release (without the ReduceWrapper)
function and then work on the masked array / ndarray separation pl
On May 19, 2012, at 10:21 AM, Mark Wiebe wrote:
> On Sat, May 19, 2012 at 10:00 AM, David Cournapeau wrote:
> On Sat, May 19, 2012 at 3:17 PM, Charles R Harris
> wrote:
> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
> Hey all,
>
> After reading all the discussion around masked arr
>> My own plan for the near term would be as follows:
>>
>> 1) Put in the experimental option and get the 1.7 release out. This gets us
>> through the next couple of months and keeps things moving.
>
> +1 on not blocking the release while we invent+implement yet another
> experimental API.
Nobod
>
> My own plan for the near term would be as follows:
>
> 1) Put in the experimental option and get the 1.7 release out. This gets us
> through the next couple of months and keeps things moving.
>
The "experimental" option does not solve the problem which is that the ndarray
object now has m
On May 19, 2012, at 10:00 AM, David Cournapeau wrote:
>
>
> On Sat, May 19, 2012 at 3:17 PM, Charles R Harris
> wrote:
>
>
> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
> Hey all,
>
> After reading all the discussion around masked arrays and getting input from
> as many peopl
On May 19, 2012, at 9:17 AM, Charles R Harris wrote:
>
>
> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
> Hey all,
>
> After reading all the discussion around masked arrays and getting input from
> as many people as possible, it is clear that there is still disagreement
> about w
On Sat, May 19, 2012 at 8:16 PM, Nathaniel Smith wrote:
> help() just returns the __doc__ attribute, but a large number of numpy's
> __doc__ attributes are set up by code at import time, so in principle even
> these could be run through gettext pretty easily.
>
I didn't know that. I suggested mo
On May 19, 2012 11:04 PM, "Tim Cera" wrote:
> A user would then install a language kit, maybe something like scikits
and access the translated docstring with a new 'np.info'. As near as I can
figure, Python 'help' command can't be replaced by something else, so
'help' would always display the Eng
I have thought for a long time that it would be nice to have numpy/scipy
docs in multiple languages. I didn't have any idea how to do it until I
saw http://sphinx.pocoo.org/intl.html. The gettext builder which is a
requirement to make this happen is relatively new to sphinx.
Outline of above ap
Hi all,
Since Mark's original missingdata branch made so many changes, I
figured it would be a useful exercise to figure out what code in
master is actually related to masked arrays, and which isn't. The
easiest way seemed to be to delete the new fields, then keep removing
any code that depended o
On Sat, May 19, 2012 at 5:45 PM, Charles R Harris
wrote:
>
>
> On Sat, May 19, 2012 at 10:02 AM, Charles R Harris
> wrote:
>>
>>
>>
>> On Sat, May 19, 2012 at 9:21 AM, Mark Wiebe wrote:
>>>
>>> On Sat, May 19, 2012 at 10:00 AM, David Cournapeau
>>> wrote:
On Sat, May 19, 2012 at 3:17
On Sat, May 19, 2012 at 10:02 AM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> On Sat, May 19, 2012 at 9:21 AM, Mark Wiebe wrote:
>
>> On Sat, May 19, 2012 at 10:00 AM, David Cournapeau wrote:
>>
>>> On Sat, May 19, 2012 at 3:17 PM, Charles R Harris <
>>> charlesr.har...@gmail.com>
On Sat, May 19, 2012 at 9:21 AM, Mark Wiebe wrote:
> On Sat, May 19, 2012 at 10:00 AM, David Cournapeau wrote:
>
>> On Sat, May 19, 2012 at 3:17 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
>>>
Hey all,
A
On Sat, May 19, 2012 at 4:21 PM, Mark Wiebe wrote:
> The motivation behind splitting the mask out into a separate ndmasked is
> primarily so that pre-existing code will not silently function on NA-masked
> arrays and produce incorrect results. This centres around using PyArray_DATA
> to get at the
On Sat, May 19, 2012 at 10:00 AM, David Cournapeau wrote:
> On Sat, May 19, 2012 at 3:17 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
>>
>>> Hey all,
>>>
>>> After reading all the discussion around masked arrays and getting
On Sat, May 19, 2012 at 3:17 PM, Charles R Harris wrote:
>
>
> On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
>
>> Hey all,
>>
>> After reading all the discussion around masked arrays and getting input
>> from as many people as possible, it is clear that there is still
>> disagreement ab
On Fri, May 18, 2012 at 3:47 PM, Travis Oliphant wrote:
> Hey all,
>
> After reading all the discussion around masked arrays and getting input
> from as many people as possible, it is clear that there is still
> disagreement about what to do, but there have been some fruitful
> discussions that en
Travis Oliphant wrote:
>Hey all,
>
>After reading all the discussion around masked arrays and getting input
>from as many people as possible, it is clear that there is still
>disagreement about what to do, but there have been some fruitful
>discussions that ensued.
>
>This isn't really new as
I forgot whether I installed numpy 1.5.1 by esay_install or manually. But
anyway, I had the same issue with you that I cannot use pip uninstall numpy
to remove 1.5.1.
chao
2012/5/19 Tim Cera
>
>
> On Fri, May 18, 2012 at 5:49 PM, Chao YUE wrote:
>
>> Previously I have installed numpy 1.5.1. an
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