On Mon, Sep 16, 2013 at 1:12 PM, Robert Bradshaw wrote:
>
> On Mon, Sep 16, 2013 at 11:48 AM, Wes McKinney wrote:
> > I haven't been able to find an easy answer to this question, but here is my
> > problem:
> >
> > Cython file: extension.pyx
> > Decl
I haven't been able to find an easy answer to this question, but here is my
problem:
Cython file: extension.pyx
Declarations / C imports: extension.pxd
C dependencies:
a.c
b.c
c.c
These are all compiled together to produce extension.so.
The problem is, when I modify extension.pyx, all 4 C files
This issue came up earlier today. Everything works fine for me with
gcc 4.6.1 and Cython 0.17, but maybe there is a bug being hit in gcc
4.6. Any debugging help would be appreciated (since this affects EC2
AMIs...)
http://github.com/pydata/pandas/issues/1880
thanks,
Wes
__
On Mon, Apr 30, 2012 at 5:36 PM, William Stein wrote:
> On Mon, Apr 30, 2012 at 2:32 PM, Dag Sverre Seljebotn
> wrote:
>>
>>
>> Wes McKinney wrote:
>>
>>>On Mon, Apr 30, 2012 at 4:55 PM, Nathaniel Smith wrote:
>>>> On Mon, Apr 30, 2012 at 9:49
On Mon, Apr 30, 2012 at 4:55 PM, Nathaniel Smith wrote:
> On Mon, Apr 30, 2012 at 9:49 PM, Dag Sverre Seljebotn
> wrote:
>> JIT is really the way to go. It is one thing that a JIT could optimize the
>> case where you pass a callback to a function and inline it run-time. But
>> even if it doesn't
On Mon, Apr 30, 2012 at 4:49 PM, Dag Sverre Seljebotn
wrote:
> On 04/30/2012 06:30 PM, Wes McKinney wrote:
>>
>> On Mon, Apr 30, 2012 at 11:19 AM, mark florisson
>> wrote:
>>>
>>> On 30 April 2012 14:49, Wes McKinney wrote:
>>>>
>>>&g
On Mon, Apr 30, 2012 at 11:19 AM, mark florisson
wrote:
> On 30 April 2012 14:49, Wes McKinney wrote:
>> On Sun, Apr 29, 2012 at 5:56 AM, mark florisson
>> wrote:
>>> On 29 April 2012 08:42, Nathaniel Smith wrote:
>>>> On Sat, Apr 28, 2012 at 10:25 PM, mar
On Sun, Apr 29, 2012 at 5:56 AM, mark florisson
wrote:
> On 29 April 2012 08:42, Nathaniel Smith wrote:
>> On Sat, Apr 28, 2012 at 10:25 PM, mark florisson
>> wrote:
>>> On 28 April 2012 22:04, Nathaniel Smith wrote:
Was chatting with Wes today about the usual problem many of us have
On Sat, Apr 28, 2012 at 5:25 PM, mark florisson
wrote:
> On 28 April 2012 22:04, Nathaniel Smith wrote:
>> Was chatting with Wes today about the usual problem many of us have
>> encountered with needing to use some sort of templating system to
>> generate code handling multiple types, operations,
On Sat, Apr 14, 2012 at 11:32 AM, mark florisson
wrote:
> On 14 April 2012 14:57, Dag Sverre Seljebotn
> wrote:
>> On 04/14/2012 12:46 PM, mark florisson wrote:
>>>
>>> On 12 April 2012 22:00, Wes McKinney wrote:
>>>>
>>>> On Thu,
On Thu, Apr 12, 2012 at 10:38 AM, mark florisson
wrote:
> Yet another release candidate, this will hopefully be the last before
> the 0.16 release. You can grab it from here:
> http://wiki.cython.org/ReleaseNotes-0.16
>
> There were several fixes for the numpy attribute rewrite, memoryviews
> and
I don't have a Trac account yet, but wanted to report this bug with
the 0.16 RC. This function worked fine under 0.15.1:
@cython.wraparound(False)
@cython.boundscheck(False)
def is_lexsorted(list list_of_arrays):
cdef:
int i
Py_ssize_t n, nlevels
int32_t k, cur, pre
On Fri, Jan 27, 2012 at 2:40 AM, Stefan Behnel wrote:
> Wes McKinney, 26.01.2012 18:56:
>> Just wanted to bring this issue to your guys' attention in case you
>> knew what was responsible for this:
>>
>> https://github.com/ipython/ipython/issues/1317#issuecomment
On Thu, Jan 26, 2012 at 2:21 PM, mark florisson
wrote:
> On 26 January 2012 19:10, Fernando Perez wrote:
>> On Thu, Jan 26, 2012 at 10:37 AM, mark florisson
>> wrote:
>>> On a side note, ipython is not something I usually trust to test
>>> things out, as it gets things wrong sometimes which can
Just wanted to bring this issue to your guys' attention in case you
knew what was responsible for this:
https://github.com/ipython/ipython/issues/1317#issuecomment-3652550
I traced down the problem (with git bisect) to a seemingly innocuous
commit referenced in that GitHub thread. The issue seeme
On Tue, Dec 13, 2011 at 6:47 AM, Sturla Molden wrote:
> Den 12.12.2011 21:09, skrev Wes McKinney:
>
>> I'm interested in using the Cython OpenMP extensions in pandas for
>> various calculations, but I'm concerned about cross-platform issues,
>> especially
I'm interested in using the Cython OpenMP extensions in pandas for
various calculations, but I'm concerned about cross-platform issues,
especially distributing built binaries of the extensions to Windows
users. Is there a clean way to bundle the relevant OpenMP DLLs in
distutils?
thanks,
Wes
_
On Mon, Oct 24, 2011 at 4:09 PM, Dag Sverre Seljebotn
wrote:
> On 10/24/2011 09:40 PM, Wes McKinney wrote:
>>
>> On Mon, Oct 24, 2011 at 3:37 PM, Dag Sverre Seljebotn
>> wrote:
>>>
>>> On 10/24/2011 09:26 PM, Wes McKinney wrote:
>>>>
>&g
On Mon, Oct 24, 2011 at 2:40 PM, Wes McKinney wrote:
> On Mon, Oct 24, 2011 at 3:37 PM, Dag Sverre Seljebotn
> wrote:
>> On 10/24/2011 09:26 PM, Wes McKinney wrote:
>>>
>>> I've been using
>>>
>>> ndarray[uint8_t, cast=True] bool_arr
>>
On Mon, Oct 24, 2011 at 3:37 PM, Dag Sverre Seljebotn
wrote:
> On 10/24/2011 09:26 PM, Wes McKinney wrote:
>>
>> I've been using
>>
>> ndarray[uint8_t, cast=True] bool_arr
>>
>> to work with dtype=bool arrays in Cython lately. When testing using
>>
I've been using
ndarray[uint8_t, cast=True] bool_arr
to work with dtype=bool arrays in Cython lately. When testing using
Python 2.5 / NumPy 1.6.1 on Windows, I'm getting "unknown dtype code
in numpy.pxd (0)". Everything works fine with Python 2.6/2.7 and NumPy
1.6.1. This is with Cython 0.15.1.
you?
>
> On Fri, Sep 9, 2011 at 3:09 PM, Wes McKinney wrote:
>> Multiple users have reporting being unable to get the Cython
>> extensions in pandas to work:
>>
>> http://github.com/wesm/pandas
>
Multiple users have reporting being unable to get the Cython
extensions in pandas to work:
http://github.com/wesm/pandas
Here is the traceback:
In [1]: import pandas
---
ImportError Traceback (most recent call last)
/Users/f
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