On Wed, Aug 24, 2011 at 8:43 PM, Anthony Scopatz wrote:
>
>
> On Wed, Aug 24, 2011 at 7:34 PM, srean wrote:
>>
>> Thanks Anthony and Mark, this is good to know.
>>
>> So what would be the advised way of looking at freshly baked documentation
>> ? Just look at the raw files ? or is there some plac
On Aug 22, 2011, at 7:35 AM, Mark Dickinson wrote:
> On Mon, Aug 22, 2011 at 1:30 PM, Stefan Krah
> wrote:
>> Numpy arrays and memoryview currently have different representations
>> for shape and strides if ndim = 0:
>>
> from numpy import *
> x = array(9, int32)
> x.ndim
>> 0
On Aug 22, 2011, at 3:51 PM, Robert Kern wrote:
> On Mon, Aug 22, 2011 at 10:07, Chris Withers wrote:
>> On 22/08/2011 00:18, Mark Dickinson wrote:
>>> On Sun, Aug 21, 2011 at 1:08 AM, Robert Kern wrote:
You may want to try the cdecimal package:
http://pypi.python.org/pypi/cde
On Wed, Aug 24, 2011 at 6:09 PM, Wes McKinney wrote:
>
> - Performance with skipna is a bit disappointing:
>
> In [52]: arr = np.random.randn(1e6)
> In [54]: arr.flags.maskna = True
> In [56]: arr[::2] = np.NA
> In [58]: timeit arr.sum(skipna=True)
> 100 loops, best of 3: 7.31 ms per loop
>
> th
On Wed, Aug 24, 2011 at 6:09 PM, Wes McKinney wrote:
> On Wed, Aug 24, 2011 at 8:19 PM, Mark Wiebe wrote:
> > On Fri, Aug 19, 2011 at 11:37 AM, Bruce Southey
> wrote:
> >>
> >> Hi,
> >>
> >>
> >> 2) Can the 'skipna' flag be added to the methods?
> >> >>> a.sum(skipna=True)
> >> Traceback (most
On Wed, Aug 24, 2011 at 8:19 PM, Mark Wiebe wrote:
> On Fri, Aug 19, 2011 at 11:37 AM, Bruce Southey wrote:
>>
>> Hi,
>>
>>
>> 2) Can the 'skipna' flag be added to the methods?
>> >>> a.sum(skipna=True)
>> Traceback (most recent call last):
>> File "", line 1, in
>> TypeError: 'skipna' is an i
dpo wrote:
>
> ---
> Traceback (most recent call last):
> File "/Users/dpo/.virtualenvs/matrox/matrox/curve.py", line 3, in
>
> import numpy as np
> File
> "/Users/dpo/.virtualenvs/matrox/lib/python2.7/site-packages/numpy/__init__.py",
> line 137, in
> import add_newdocs
> File
>
On Wed, Aug 24, 2011 at 7:34 PM, srean wrote:
> Thanks Anthony and Mark, this is good to know.
>
> So what would be the advised way of looking at freshly baked documentation
> ? Just look at the raw files ? or is there some place else where the correct
> sphinx rendered docs are hosted.
>
Buildi
Thanks Anthony and Mark, this is good to know.
So what would be the advised way of looking at freshly baked documentation ?
Just look at the raw files ? or is there some place else where the correct
sphinx rendered docs are hosted.
On Wed, Aug 24, 2011 at 7:19 PM, Anthony Scopatz wrote:
> code-
On Fri, Aug 19, 2011 at 11:37 AM, Bruce Southey wrote:
> Hi,
>
>
> 2) Can the 'skipna' flag be added to the methods?
> >>> a.sum(skipna=True)
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: 'skipna' is an invalid keyword argument for this function
> >>> np.sum(a,skipna
code-block:: is a directive that I think might be specific to sphinx.
Naturally, github's renderer will drop it.
On Wed, Aug 24, 2011 at 7:10 PM, Mark Wiebe wrote:
> On Wed, Aug 24, 2011 at 5:05 PM, srean wrote:
>
>> Following up on my own question: I can see the code in the commit. So it
>> a
On Wed, Aug 24, 2011 at 5:05 PM, srean wrote:
> Following up on my own question: I can see the code in the commit. So it
> appears that
>
> code-block::
>
> Are not being rendered correctly. Could anyone confirm ? In case it is my
> browser alone, though I did try after disabling no-script.
I b
I've added C-API documentation to the missingdata branch. The .rst file
(beware of the github rst parser though, it drops some of the content) is
here:
https://github.com/m-paradox/numpy/blob/missingdata/doc/source/reference/c-api.maskna.rst
and I made a small example module which goes with it he
Following up on my own question: I can see the code in the commit. So it
appears that
code-block::
Are not being rendered correctly. Could anyone confirm ? In case it is my
browser alone, though I did try after disabling no-script.
On Wed, Aug 24, 2011 at 6:53 PM, srean wrote:
> Hi,
>
> I was
Hi,
I was reading this document,
https://github.com/numpy/numpy/blob/master/doc/source/user/c-info.ufunc-tutorial.rst
its well written and there is a good build up to exciting code examples that
are coming, but I do not see the actual examples, only how they may be used.
Is it located somewhere e
On Sun, Aug 21, 2011 at 7:24 AM, Pauli Virtanen wrote:
> On Sat, 20 Aug 2011 16:18:55 -0700, Chris Withers wrote:
> > I've got a tree of nested dicts that at their leaves end in numpy arrays
> > of identical sizes.
> >
> > What's the easiest way to persist these to disk so that I can pick up
> >
(sorry for the top-post, no way around it)
Under 2), would it make sense to also export the contents of a
Fortran-contiguous buffer as a raw byte stream? I was just the other week
writing code to serialize an array in Fortran order to a binary stream.
OTOH I could easily serialize its transpose
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