Why not replace get_printoptions/set_printoptions with a context manager
accessed using numpy.printoptions in the same way that numpy.errstate
exposes a context manager to seterr/geterr? This would make the set method
redundant.
Also, the context manager returned by numpy.errstate,
How do I test a patch that I've made locally? I can't seem to import numpy
locally:
Error importing numpy: you should not try to import numpy from
its source directory; please exit the numpy source tree, and
relaunch
your python intepreter from there.
Ah, sorry, didn't see that I can do that from runtests!! Thanks!!
On Sun, Oct 27, 2013 at 7:13 PM, Neil Girdhar mistersh...@gmail.com wrote:
Since I am trying to add a printoptions context manager, I would like to
test it. Should I add tests, or can I somehow use it from an ipython shell
Since I am trying to add a printoptions context manager, I would like to
test it. Should I add tests, or can I somehow use it from an ipython shell?
On Sun, Oct 27, 2013 at 7:12 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sun, Oct 27, 2013 at 4:59 PM, Neil Girdhar mistersh
This is my first code review request, so I may have done some things wrong.
I think the following URL should work?
https://github.com/MisterSheik/numpy/compare
Best,
Neil
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, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sun, Oct 27, 2013 at 7:23 PM, Neil Girdhar mistersh...@gmail.comwrote:
This is my first code review request, so I may have done some things
wrong. I think the following URL should work?
https://github.com/MisterSheik/numpy/compare
Is this what I want? https://github.com/numpy/numpy/pull/3987
On Sun, Oct 27, 2013 at 9:42 PM, Neil Girdhar mistersh...@gmail.com wrote:
Yeah, I realized that I missed that and figured it wouldn't matter since
it was my own master and I don't plan on making other changes to numpy. If
you
Hello,
Is this desired behaviour or a regression or a bug?
http://stackoverflow.com/questions/26497656/how-do-i-align-a-numpy-record-array-recarray
Thanks,
Neil
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is for that conversion to be automated. I'm
still evaluating how to best achieve that.
On Tue, Apr 28, 2015 at 6:08 AM, Francesc Alted fal...@gmail.com wrote:
2015-04-28 4:59 GMT+02:00 Neil Girdhar mistersh...@gmail.com:
I don't think I'm asking for so much. Somewhere inside numexpr it builds
I've always wondered why numexpr accepts strings rather than looking a
function's source code, using ast to parse it, and then transforming the
AST. I just looked at another project, pyautodiff, which does that. And I
think numba does that for llvm code generation. Wouldn't it be nicer to
just
Also, FYI: http://numba.pydata.org/numba-doc/0.6/doc/modules/transforms.html
It appears that numba does get the ast similar to pyautodiff and only get
the ast from source code as a fallback?
On Mon, Apr 27, 2015 at 7:23 PM, Neil Girdhar mistersh...@gmail.com wrote:
I was told that numba did
On Mon, Apr 27, 2015 at 7:42 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Apr 27, 2015 at 4:23 PM, Neil Girdhar mistersh...@gmail.com
wrote:
I was told that numba did similar ast parsing, but maybe that's not true.
Regarding the ast, I don't know about reliability, but take a look
...@pobox.com wrote:
On Apr 27, 2015 1:44 PM, Neil Girdhar mistersh...@gmail.com wrote:
I've always wondered why numexpr accepts strings rather than looking a
function's source code, using ast to parse it, and then transforming the
AST. I just looked at another project, pyautodiff, which does
Wow, cool! Are there any users of this package?
On Mon, Apr 27, 2015 at 9:07 PM, Alexander Belopolsky ndar...@mac.com
wrote:
On Mon, Apr 27, 2015 at 7:14 PM, Nathaniel Smith n...@pobox.com wrote:
There's no way to access the ast reliably at runtime in python -- it gets
thrown away during
that
I like with my code. For my purpose, this would have been the more ideal
design.
On Mon, Apr 27, 2015 at 10:47 PM, Nathaniel Smith n...@pobox.com wrote:
On Apr 27, 2015 5:30 PM, Neil Girdhar mistersh...@gmail.com wrote:
On Mon, Apr 27, 2015 at 7:42 PM, Nathaniel Smith n...@pobox.com
Maybe they should have written their code with **kwargs that consumes all
keyword arguments rather than assuming that no keyword arguments would be
added? The problem with this approach in general is that it makes writing
code unnecessarily convoluted.
On Tue, May 5, 2015 at 1:55 PM, Nathaniel
run took 25.59 times longer than the fastest. This could mean
that an intermediate result is being cached
100 loops, best of 3: 834 ns per loop
On Tue, Apr 14, 2015 at 7:42 AM, Neil Girdhar mistersh...@gmail.com wrote:
Okay, but by the same token, why do we have cumsum? Isn't it identical
=100 bins. I don't think it does O(n) computations per point. I
think it's more like O(log(n)).
Best,
Neil
On Wed, Apr 15, 2015 at 10:02 AM, Jaime Fernández del Río
jaime.f...@gmail.com wrote:
On Wed, Apr 15, 2015 at 4:36 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Yeah, I'm not arguing
I don't understand. Are you at pycon by any chance?
On Wed, Apr 15, 2015 at 6:12 PM, josef.p...@gmail.com wrote:
On Wed, Apr 15, 2015 at 6:08 PM, josef.p...@gmail.com wrote:
On Wed, Apr 15, 2015 at 5:31 PM, Neil Girdhar mistersh...@gmail.com
wrote:
Does it work for you to set
outer
Fernández del Río
jaime.f...@gmail.com wrote:
On Wed, Apr 15, 2015 at 8:06 AM, Neil Girdhar mistersh...@gmail.com
wrote:
You got it. I remember this from when I worked at Google and we would
process (many many) logs. With enough bins, the approximation is still
really close. It's great if you
Does it work for you to set
outer = np.multiply.outer
?
It's actually faster on my machine.
On Wed, Apr 15, 2015 at 5:29 PM, josef.p...@gmail.com wrote:
On Wed, Apr 15, 2015 at 7:35 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Yes, I totally agree. If I get started on the PR
...@pobox.com wrote:
On Wed, Apr 15, 2015 at 6:08 PM, josef.p...@gmail.com wrote:
On Wed, Apr 15, 2015 at 5:31 PM, Neil Girdhar mistersh...@gmail.com
wrote:
Does it work for you to set
outer = np.multiply.outer
?
It's actually faster on my machine.
I assume it does because np.corrcoeff
Right.
On Thu, Apr 16, 2015 at 6:44 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Apr 16, 2015 at 6:37 PM, Neil Girdhar mistersh...@gmail.com
wrote:
I can always put np.outer = np.multiply.outer at the start of my code to
get
what I want. Or could that break things?
Please don't do
That sounds good to me.
I can always put np.outer = np.multiply.outer at the start of my code to
get what I want. Or could that break things?
On Thu, Apr 16, 2015 at 6:28 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Thu, Apr 16, 2015 at 3:19 PM, Neil Girdhar mistersh...@gmail.com
On Thu, Apr 16, 2015 at 6:32 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Apr 16, 2015 at 6:19 PM, Neil Girdhar mistersh...@gmail.com
wrote:
Actually, looking at the docs, numpy.outer is *only* defined for 1-d
vectors. Should anyone who used it with multi-dimensional arrays have
Actually, looking at the docs, numpy.outer is *only* defined for 1-d
vectors. Should anyone who used it with multi-dimensional arrays have an
expectation that it will keep working in the same way?
On Thu, Apr 16, 2015 at 10:53 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Would it be possible
On Fri, Apr 17, 2015 at 10:47 AM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 10:07 AM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Do, 2015-04-16 at 15:28 -0700, Matthew Brett wrote:
Hi,
snip
So, how about a slight modification of your proposal?
1) Raise
On Fri, Apr 17, 2015 at 12:09 PM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 11:22 AM, Neil Girdhar mistersh...@gmail.com
wrote:
On Fri, Apr 17, 2015 at 10:47 AM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 10:07 AM, Sebastian Berg
sebast...@sipsolutions.net wrote
Ok, I didn't know that. Are you at pycon by any chance?
On Tue, Apr 14, 2015 at 7:16 PM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Apr 14, 2015 at 3:48 PM, Neil Girdhar mistersh...@gmail.com
wrote:
Yes, I totally agree with you regarding np.sum and np.product, which is
why
I didn't
:
On Mon, Apr 13, 2015 at 8:02 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Can I suggest that we instead add the P-square algorithm for the dynamic
calculation of histograms?
(
http://pierrechainais.ec-lille.fr/Centrale/Option_DAD/IMPACT_files/Dynamic%20quantiles%20calcultation%20-%20P2
, Jaime Fernández del Río
jaime.f...@gmail.com wrote:
On Tue, Apr 14, 2015 at 4:12 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Apr 13, 2015 at 8:02 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Can I suggest that we instead add the P-square algorithm for the
dynamic
calculation
.
Similarly, cumprod is just np.multiply.accumulate.
Best,
Neil
On Sat, Apr 11, 2015 at 12:49 PM, Nathaniel Smith n...@pobox.com wrote:
Documentation and a call to warnings.warn(DeprecationWarning(...)), I
guess.
On Sat, Apr 11, 2015 at 12:39 PM, Neil Girdhar mistersh...@gmail.com
wrote:
I
:
On Apr 14, 2015 2:48 PM, Neil Girdhar mistersh...@gmail.com wrote:
Okay, but by the same token, why do we have cumsum? Isn't it identical
to
np.add.accumulate
— or if you're passing in multidimensional data —
np.add.accumulate(a.flatten())
?
add.accumulate feels more generic
Can I suggest that we instead add the P-square algorithm for the dynamic
calculation of histograms? (
http://pierrechainais.ec-lille.fr/Centrale/Option_DAD/IMPACT_files/Dynamic%20quantiles%20calcultation%20-%20P2%20Algorythm.pdf
)
This is already implemented in C++'s boost library (
, yes.
On Apr 14, 2015 9:17 PM, Neil Girdhar mistersh...@gmail.com wrote:
Ok, I didn't know that. Are you at pycon by any chance?
On Tue, Apr 14, 2015 at 7:16 PM, Nathaniel Smith
n...@pobox.com wrote:
On Tue, Apr 14, 2015 at 3:48 PM, Neil
Yeah, I'm not arguing, I'm just curious about your reasoning. That
explains why not C++. Why would you want to do this in C and not Python?
On Wed, Apr 15, 2015 at 1:48 AM, Jaime Fernández del Río
jaime.f...@gmail.com wrote:
On Tue, Apr 14, 2015 at 6:16 PM, Neil Girdhar mistersh...@gmail.com
On Fri, Apr 17, 2015 at 12:09 PM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 11:22 AM, Neil Girdhar mistersh...@gmail.com
wrote:
On Fri, Apr 17, 2015 at 10:47 AM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 10:07 AM, Sebastian Berg
sebast...@sipsolutions.net wrote
This relationship between outer an dot only holds for vectors. For
tensors, and other kinds of vector spaces, I'm not sure if outer products
and dot products have anything to do with each other.
On Fri, Apr 17, 2015 at 11:11 AM, josef.p...@gmail.com wrote:
On Fri, Apr 17, 2015 at 10:59 AM,
Yes, you're right. Although in practice, people almost always want
adaptive bins.
On Tue, Apr 14, 2015 at 5:08 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Mon, Apr 13, 2015 at 5:02 AM, Neil Girdhar mistersh...@gmail.com
wrote:
Can I suggest that we instead add the P-square algorithm
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