On Jul 9, 2012, at 9:24 PM, Yan Tang wrote:
Hi,
I noticed there is an odd issue when I am trying to convert a recarray to
list. See below for the example/test case.
$ cat a.csv
date,count
2011-07-25,91
2011-07-26,118
$ cat b.csv
name,count
foo,1233
bar,100
$ python
from
On Jul 8, 2012, at 9:22 AM, Scott Sinclair wrote:
On 6 July 2012 15:48, Andrew Dalke da...@dalkescientific.com wrote:
I followed the instructions at
http://docs.scipy.org/doc/numpy/dev/gitwash/patching.html
and added Ticket #2181 (with patch) ...
Those instructions need to be updated to
On Jul 9, 2012, at 10:32 PM, Charles R Harris wrote:
Hi All,
I've been adding type specific sorts for object and structured arrays. It
seems that datetime64 and timedelta64 are also not supported. Is there any
reason why those types should not be sorted as int64?
Also, when sorting
Andrew,
Thank you for your comments. I agree it's confusing coming to github at
first. I still have to refer to the jargon-file to understand what everything
means. There are a lot of unfamiliar terms.
Thank you for your patches. It does imply more work for developers on NumPy,
On Tue, Jul 10, 2012 at 4:32 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I've been adding type specific sorts for object and structured arrays. It
seems that datetime64 and timedelta64 are also not supported. Is there any
reason why those types should not be sorted as int64?
Hello,
early bird registration for Euroscipy 2012 is soon coming to an end, with
the deadline on July 22nd. Don't forget to register soon! Reduced fees
are available for academics, students and speakers. Registration takes
place online on http://www.euroscipy.org/conference/euroscipy2012.
Hi,
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman silberman@gmail.comwrote:
Hi all,
Some colleagues and I are interested in contributing to numpy.
That's great, welcome!
We have a range of backgrounds -- I for example am new to contributing to
open
source software but have a
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman silberman@gmail.comwrote:
Hi all,
Some colleagues and I are interested in contributing to numpy. We have
a range of backgrounds -- I for example am new to contributing to open
source software but have a (small) bit of background in
On 10 July 2012 09:05, Andrew Dalke da...@dalkescientific.com wrote:
On Jul 8, 2012, at 9:22 AM, Scott Sinclair wrote:
On 6 July 2012 15:48, Andrew Dalke da...@dalkescientific.com wrote:
I followed the instructions at
http://docs.scipy.org/doc/numpy/dev/gitwash/patching.html
and added Ticket
On Tue, Jul 10, 2012 at 11:36 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman silberman@gmail.comwrote:
Hi all,
Some colleagues and I are interested in contributing to numpy. We have
a range of backgrounds -- I for example am new to
On Tue, Jul 10, 2012 at 3:37 AM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Jul 10, 2012 at 4:32 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I've been adding type specific sorts for object and structured arrays. It
seems that datetime64 and timedelta64 are also
On Tue, Jul 10, 2012 at 6:07 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Jul 10, 2012 at 11:36 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Tue, Jul 10, 2012 at 4:20 AM, Six Silberman
silberman@gmail.comwrote:
Hi all,
Some colleagues and I are
For documentation we have docstrings for each function and tutorial-style
docs (http://docs.scipy.org/doc/numpy/user/,
http://scipy-lectures.github.com/intro/numpy/index.html) . All docstrings
should have clear usage examples, but I'm actually finding it quite hard to
find functions that
On Tue, Jul 10, 2012 at 1:05 AM, Travis Oliphant tra...@continuum.iowrote:
On Jul 9, 2012, at 10:32 PM, Charles R Harris wrote:
Hi All,
I've been adding type specific sorts for object and structured arrays.
It seems that datetime64 and timedelta64 are also not supported. Is there
any
Thank you very much.
On Tue, Jul 10, 2012 at 3:02 AM, Travis Oliphant tra...@continuum.iowrote:
On Jul 9, 2012, at 9:24 PM, Yan Tang wrote:
Hi,
I noticed there is an odd issue when I am trying to convert a recarray to
list. See below for the example/test case.
$ cat a.csv
date,count
I am interested in adding SSE optimizations to numpy, where should I start?
Fode
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On 7/10/12 5:07 PM, Fode wrote:
I am interested in adding SSE optimizations to numpy, where should I
start?
Well, to my knowledge there is not many open source code (Intel MKL and
AMD ACML do not enter in this section) that uses the SSE, but a good
start could be:
Some more context over what Francesc said:
If you mean using SSE for simple things like addition and multiplication, then
you must be aware that NumPy's way of working means that it lends itself very
badly to such optimizations. For small arrays, the Python interpreter overhead
tends to
Hi All,
I built numpy 1.6.2 on linux 64 bit and installed numpy in site-packages, It
pass all the test cases of numpy, but I am not sure if this is good build; As I
did not specified any fortran compiler while setup, also I do not have fortran
compiler on my machine.
Thanks
Prakash
[Apologies for cross-posting. Please direct any replies to
pyd...@googlegroups.com.]
I'm pleased to announce the first release of Patsy, a Python package
for describing statistical models and building design matrices using
formulas. Patsy's formulas are inspired by and largely compatible
with
On Tue, Jul 10, 2012 at 2:45 PM, Prakash Joshi pjo...@numenta.com wrote:
Hi All,
I built numpy 1.6.2 on linux 64 bit and installed numpy in
site-packages, It pass all the test cases of numpy, but I am not sure if
this is good build; As I did not specified any fortran compiler while
Thanks Ben.
Also I did not specified any of BLAS, LAPACK, ATLAS libraries, do we need these
libraries for numpy?
I simply used following command to build:
python setup.py build
python setup.py install —prefix=/usr/local
If above commands are sufficient, than I hope same steps to build will
Prakash,
On Tue, Jul 10, 2012 at 3:26 PM, Prakash Joshi pjo...@numenta.com wrote:
Thanks Ben.
Also I did not specified any of BLAS, LAPACK, ATLAS libraries, do we
need these libraries for numpy?
Need, no, you do not need them in the sense that NumPy does not require
them to work. NumPy
We now have
a = array([[1, 2], [3, 4]], dtype=int8)
array([[1, 2],
[3, 4]], dtype=int8)
d = linalg.det(a)
d
-2.0004
d.dtype
dtype('float64')
This is at least partly due to use of LU factorization in computing
the determinant.
Some operations on integer matrices
Hi,
I am using python 2.6 that comes pre installed on Mac Lion 10.7.4. I am also
using Gurobipy which is an optimization solver. Now, I need to install numpy
and scipy to use their statistical functions. I read mixed reviews about
compatibility of numpy and scipy with preinstalled python 2.6.
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