Hi,
In the process of adding single precision support to Numexpr, I'm
experimenting a divergence between Numexpr and NumPy computations. It all
boils down to the fact that my implementation defined single precision
functions completely. As for one, consider my version of expm1f:
inline
On Mon, Jun 1, 2009 at 00:05, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
I think we should just fix it to use conjugate - I will do this in the
branch, and I will integrate it in the trunk later unless someone stands
up vehemently against the change. I opened up a ticket to track
A question (and possibly a bug):
What should be returned when I do:
numpy.nansum([])
In my copy of numpy 1.1.1, I get 0.0. This is what I would expect to
see.
However, this behavior seems to have changed in 1.3.0, in which I get
nan.
Thanks,
Mike
On Mon, Jun 1, 2009 at 9:55 AM, Michael Hearne mhea...@usgs.gov wrote:
A question (and possibly a bug):
What should be returned when I do:
numpy.nansum([])
In my copy of numpy 1.1.1, I get 0.0. This is what I would expect to
see.
However, this behavior seems to have changed in 1.3.0, in
Robert Cimrman cimrman3 at ntc.zcu.cz writes:
Re-hi!
Robert Cimrman wrote:
Hi all,
I have added to the ticket [1] a script that compares the proposed
setmember1d_nu() implementations of Neil and Kim. Comments are welcome!
[1] http://projects.scipy.org/numpy/ticket/1036
I
On Mon, Jun 1, 2009 at 10:22 AM, Francesc Alted fal...@pytables.org wrote:
Hi,
In the process of adding single precision support to Numexpr, I'm
experimenting a divergence between Numexpr and NumPy computations. It all
boils down to the fact that my implementation defined single precision
On Mon, Jun 1, 2009 at 11:16 AM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 1:43 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 9:55 AM, Michael Hearne mhea...@usgs.gov wrote:
A question (and possibly a bug):
What should be returned when I do:
numpy.nansum([])
On Mon, Jun 1, 2009 at 2:26 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 11:16 AM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 1:43 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 9:55 AM, Michael Hearne mhea...@usgs.gov wrote:
A question (and
On Mon, Jun 1, 2009 at 11:48 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Jun 1, 2009 at 10:35 AM, Robert Kern robert.k...@gmail.comwrote:
On Mon, Jun 1, 2009 at 00:05, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
I think we should just fix it to use conjugate -
Nathan Bell-4 wrote:
image = np.histogram2d(x, y, bins=bins, weights=z)[0]
This works great - thanks!
Thomas
--
View this message in context:
http://www.nabble.com/Rasterizing-points-onto-an-array-tp23808494p23820216.html
Sent from the Numpy-discussion mailing list archive at
On Mon, Jun 1, 2009 at 13:44, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 11:48 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 10:35 AM, Robert Kern robert.k...@gmail.com
wrote:
On Mon, Jun 1, 2009 at 00:05, David Cournapeau
On Mon, Jun 1, 2009 at 2:45 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 11:34 AM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 2:26 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 11:16 AM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at
On Mon, Jun 1, 2009 at 4:06 PM, Alan G Isaac ais...@american.edu wrote:
On 6/1/2009 3:38 PM josef.p...@gmail.com apparently wrote:
Here's a good one:
np.isnan([]).all()
True
np.isnan([]).any()
False
all([])
True
any([])
False
also:
y
array([], dtype=float64)
(y0).all()
True
On 64-bit ubuntu 9.04 and Python 2.6, I built numpy from source against
atlas and lapack (everything 64bit).
To install, I used: sudo python setup.py install --prefix /usr/local
but then python doesnt find the numpy module, even though it exists in
/usr/local/lib/python2.6/site-packages
Do I
On Mon, Jun 1, 2009 at 4:37 PM, Chris Colbert sccolb...@gmail.com wrote:
On 64-bit ubuntu 9.04 and Python 2.6, I built numpy from source against
atlas and lapack (everything 64bit).
To install, I used: sudo python setup.py install --prefix /usr/local
but then python doesnt find the numpy
building without the prefix flag works for me as well, just wondering why
this doesnt...
Chris
On Mon, Jun 1, 2009 at 4:47 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Mon, Jun 1, 2009 at 4:37 PM, Chris Colbert sccolb...@gmail.com wrote:
On 64-bit ubuntu 9.04 and Python 2.6, I built
thanks Robert,
the directory indeed wasnt in the $PATH variable.
Cheers,
Chris
On Mon, Jun 1, 2009 at 5:12 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at 15:37, Chris Colbert sccolb...@gmail.com wrote:
On 64-bit ubuntu 9.04 and Python 2.6, I built numpy from source
On Mon, Jun 1, 2009 at 16:35, Chris Colbert sccolb...@gmail.com wrote:
thanks Robert,
the directory indeed wasnt in the $PATH variable.
No, not the environment variable $PATH, but sys.path.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that is
the directory wasn't on the python path either. I added a site-packages.pth
file to /usr/local/lib/python2.6/dist-packages with the line
/usr/local/lib/python2.6/site-packages
Not elegant, but it worked.
Chris
On Mon, Jun 1, 2009 at 5:44 PM, Chris Colbert sccolb...@gmail.com wrote:
yeah, I
Is there a way to get slices of a structured array and keep the field
names? For instance, I've got dtype=[('x','f4'),('y','f4'),
('z','f4')] and I want to get just the x y slices into a new array
with dtype=[('x','f4'),('y','f4')].
I can just make a new dtype, and extract what I need, but
On Mon, Jun 1, 2009 at 17:32, Robert Ferrell ferr...@diablotech.com wrote:
Is there a way to get slices of a structured array and keep the field
names? For instance, I've got dtype=[('x','f4'),('y','f4'),
('z','f4')] and I want to get just the x y slices into a new array
with
On Jun 1, 2009, at 4:41 PM, Robert Kern wrote:
On Mon, Jun 1, 2009 at 17:32, Robert Ferrell
ferr...@diablotech.com wrote:
Is there a way to get slices of a structured array and keep the field
names? For instance, I've got dtype=[('x','f4'),('y','f4'),
('z','f4')] and I want to get just
On Mon, Jun 1, 2009 at 15:31, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 4:06 PM, Alan G Isaac ais...@american.edu wrote:
On 6/1/2009 3:38 PM josef.p...@gmail.com apparently wrote:
Here's a good one:
np.isnan([]).all()
True
np.isnan([]).any()
False
all([])
True
any([])
On Mon, Jun 1, 2009 at 4:50 PM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:43 PM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:30 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at 15:31, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 4:06 PM, Alan G
On Mon, Jun 1, 2009 at 7:58 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Jun 1, 2009 at 4:50 PM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:43 PM, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:30 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at
On Mon, Jun 1, 2009 at 18:50, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:43 PM, josef.p...@gmail.com wrote:
is np.size the right check for non-empty array, including subtypes?
Yes.
i.e.
if y.size and mask.all():
return np.nan
or more explicit
if y.size 0 and
On Mon, Jun 1, 2009 at 20:09, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 6:30 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at 18:50, josef.p...@gmail.com wrote:
On Mon, Jun 1, 2009 at 7:43 PM, josef.p...@gmail.com wrote:
is np.size the
how do we catch a multiarray.error in a try except clause?
e.g.
np.argmin([])
Traceback (most recent call last):
File pyshell#147, line 1, in module
np.argmin([])
File C:\Programs\Python25\Lib\site-packages\numpy\core\fromnumeric.py,
line 631, in argmin
return _wrapit(a, 'argmin',
On Mon, Jun 1, 2009 at 21:37, josef.p...@gmail.com wrote:
how do we catch a multiarray.error in a try except clause?
e.g.
np.argmin([])
Traceback (most recent call last):
File pyshell#147, line 1, in module
np.argmin([])
File
On Mon, Jun 1, 2009 at 8:37 PM, josef.p...@gmail.com wrote:
how do we catch a multiarray.error in a try except clause?
e.g.
np.argmin([])
Traceback (most recent call last):
File pyshell#147, line 1, in module
np.argmin([])
File
On Mon, Jun 1, 2009 at 8:43 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at 21:37, josef.p...@gmail.com wrote:
how do we catch a multiarray.error in a try except clause?
e.g.
np.argmin([])
Traceback (most recent call last):
File pyshell#147, line 1, in module
On Mon, Jun 1, 2009 at 11:27 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 8:43 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at 21:37, josef.p...@gmail.com wrote:
how do we catch a multiarray.error in a try except clause?
e.g.
Charles R Harris wrote:
On Mon, Jun 1, 2009 at 11:48 AM, Charles R Harris
charlesr.har...@gmail.com mailto:charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 10:35 AM, Robert Kern
robert.k...@gmail.com mailto:robert.k...@gmail.com wrote:
On Mon, Jun 1, 2009 at
On Mon, Jun 1, 2009 at 22:33, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Charles R Harris wrote:
On Mon, Jun 1, 2009 at 11:48 AM, Charles R Harris
charlesr.har...@gmail.com mailto:charlesr.har...@gmail.com wrote:
On Mon, Jun 1, 2009 at 10:35 AM, Robert Kern
Hi,
I have a question related to #1121
(http://projects.scipy.org/numpy/ticket/1121). With python 2.6,
PyInt_Check(a) if a is an instance of numpy.int32 does not work anymore.
It think this is related to the python issue 2263
(http://bugs.python.org/issue2263), where the tp_flags has been
On Mon, Jun 1, 2009 at 11:08 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Hi,
I have a question related to #1121
(http://projects.scipy.org/numpy/ticket/1121). With python 2.6,
PyInt_Check(a) if a is an instance of numpy.int32 does not work anymore.
It think this is related
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