Hi,
I am new to NumPy, Can someone help me in understanding below code.
>>> names = np.array(['Bob', 'Joe', 'Will', 'Bob', 'Will', 'Joe', 'Joe'])
>>> data = np.random.random((7,4))
>>> print data
[[ 0.85402649 0.12827655 0.580 0.86288236]
[ 0.30162683 0.45269508 0.98098039 0.1291469
On Thu, Aug 13, 2015 at 9:57 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Thu, Aug 13, 2015 at 7:59 AM, Nathan Goldbaum
> wrote:
>
>>
>>
>> On Thu, Aug 13, 2015 at 9:44 AM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>>
>>> On Thu, Aug 13, 2015 at 12:09 AM,
On Thu, Aug 13, 2015 at 4:34 PM, Matthew Brett
wrote:
> On Thu, Aug 13, 2015 at 1:04 PM, Matthew Brett
> wrote:
> > Hi,
> >
> > On Wed, Aug 12, 2015 at 12:23 PM, Sebastian Berg
> > wrote:
> >> On Mi, 2015-08-12 at 01:07 -0700, Nathaniel Smith wrote:
> >>> On Wed, Aug 12, 2015 at 12:51 AM, Sebas
On Thu, Aug 13, 2015 at 1:04 PM, Matthew Brett wrote:
> Hi,
>
> On Wed, Aug 12, 2015 at 12:23 PM, Sebastian Berg
> wrote:
>> On Mi, 2015-08-12 at 01:07 -0700, Nathaniel Smith wrote:
>>> On Wed, Aug 12, 2015 at 12:51 AM, Sebastian Berg
>>> wrote:
>>> > On Mi, 2015-08-12 at 09:41 +0200, Jens Jørge
On Thu, Aug 13, 2015 at 8:45 PM, Christian Engwer <
christian.eng...@uni-muenster.de> wrote:
> > >> This doesn't answer your question but: why? If you're not
> distributing a
> > >> Python project, there is no reason to use distutils instead of a sane
> build
> > >> system.
> >
> > Come on. We don
So as Julian helped me, it was the wrong style of the function, the
curly bracket has to go on the next line for the API generation to pick
it up.
- Sebastian
On Do, 2015-08-13 at 20:42 +0200, Sebastian Berg wrote:
> On Do, 2015-08-13 at 14:36 -0400, Benjamin Root wrote:
> > Did you do a "git cle
Hi Casey,
On Wed, Aug 12, 2015 at 11:46 PM, Casey Deen wrote:
> Hi Pearu-
>
>Thanks so much! This works! Can you point me to a reference for the
> format of the .pyf files? My ~day of searching found a few pages on the
> scipy website, but nothing which went into this amount of detail.
>
> >> This doesn't answer your question but: why? If you're not distributing a
> >> Python project, there is no reason to use distutils instead of a sane build
> >> system.
>
> Come on. We don't take it seriously, and neither do the Python core devs.
> It's also pretty much completely unsupported.
On Do, 2015-08-13 at 14:36 -0400, Benjamin Root wrote:
> Did you do a "git clean -fxd" before re-installing?
>
Yup.
>
> On Thu, Aug 13, 2015 at 2:34 PM, Sebastian Berg
> wrote:
> Hey,
>
> just for hacking/testing, I tried to add to shape.c:
>
>
>
Did you do a "git clean -fxd" before re-installing?
On Thu, Aug 13, 2015 at 2:34 PM, Sebastian Berg
wrote:
> Hey,
>
> just for hacking/testing, I tried to add to shape.c:
>
>
> /*NUMPY_API
> *
> * Checks if memory overlap exists
> */
> NPY_NO_EXPORT int
> PyArray_ArraysShareMemory(PyArrayObje
Hey,
just for hacking/testing, I tried to add to shape.c:
/*NUMPY_API
*
* Checks if memory overlap exists
*/
NPY_NO_EXPORT int
PyArray_ArraysShareMemory(PyArrayObject *arr1, PyArrayObject *arr2, int
work) {
return solve_may_share_memory(arr1, arr2, work);
}
and to numpy_api.py:
#
On 2015-08-13 08:52:22, Anne Archibald
wrote:
> My current approach is to build an empty virtualenv, pip install
> nose, and from the numpy root directory do "python setup.py
> build_ext --inplace" and "python -c 'import numpy;
> numpy.test()'". This works, for my stock system python, though I
On Thu, Aug 13, 2015 at 7:59 AM, Nathan Goldbaum
wrote:
>
>
> On Thu, Aug 13, 2015 at 9:44 AM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Thu, Aug 13, 2015 at 12:09 AM, Jaime Fernández del Río <
>> jaime.f...@gmail.com> wrote:
>>
>>> On Wed, Aug 12, 2015 at 2:03 PM, Nath
On Thu, Aug 13, 2015 at 10:00 AM, Sebastian Berg wrote:
> On Do, 2015-08-13 at 15:52 +, Anne Archibald wrote:
> > Hi,
> >
> >
> > What is a sensible way to work on (modify, compile, and test) numpy?
> >
> >
> > There is documentation about "contributing to numpy" at:
> > http://docs.scipy.org
On Do, 2015-08-13 at 15:52 +, Anne Archibald wrote:
> Hi,
>
>
> What is a sensible way to work on (modify, compile, and test) numpy?
>
>
> There is documentation about "contributing to numpy" at:
> http://docs.scipy.org/doc/numpy-dev/dev/index.html
>
> and:
> http://docs.scipy.org/doc/num
Hi,
What is a sensible way to work on (modify, compile, and test) numpy?
There is documentation about "contributing to numpy" at:
http://docs.scipy.org/doc/numpy-dev/dev/index.html
and:
http://docs.scipy.org/doc/numpy-dev/dev/gitwash/development_workflow.html
but these are entirely focused on usi
On Thu, Aug 13, 2015 at 9:44 AM, Charles R Harris wrote:
>
>
> On Thu, Aug 13, 2015 at 12:09 AM, Jaime Fernández del Río <
> jaime.f...@gmail.com> wrote:
>
>> On Wed, Aug 12, 2015 at 2:03 PM, Nathan Goldbaum
>> wrote:
>>
>>> Hi all,
>>>
>>> I've been testing the package I spend most of my time o
On Thu, Aug 13, 2015 at 12:09 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Wed, Aug 12, 2015 at 2:03 PM, Nathan Goldbaum
> wrote:
>
>> Hi all,
>>
>> I've been testing the package I spend most of my time on, yt, under numpy
>> 1.10b1 since the announcement went out.
>>
>> I thin
Hi,
On Wed, Aug 12, 2015 at 12:23 PM, Sebastian Berg
wrote:
> On Mi, 2015-08-12 at 01:07 -0700, Nathaniel Smith wrote:
>> On Wed, Aug 12, 2015 at 12:51 AM, Sebastian Berg
>> wrote:
>> > On Mi, 2015-08-12 at 09:41 +0200, Jens Jørgen Mortensen wrote:
>> >> On 08/11/2015 11:23 PM, Charles R Harris
On Aug 12, 2015 11:12 PM, "Jaime Fernández del Río"
wrote:
>
> On Wed, Aug 12, 2015 at 2:03 PM, Nathan Goldbaum
wrote:
>>
>> Hi all,
>>
>> I've been testing the package I spend most of my time on, yt, under
numpy 1.10b1 since the announcement went out.
>>
>> I think I've narrowed down and fixed a
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