On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com wrote:
Hi,
I am playing with multiple ways to speed up the following expression
(it is in the inner loop):
C[1:(M - 1)]=(a * C[2:] + b * C[1:(M-1)] + c * C[:(M-2)])
where C is an array of about 200-300 elements, M=len(C),
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 6:43 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com wrote:
Hi,
I am playing with multiple ways to speed up the following
On Sat, Nov 12, 2011 at 11:32 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 9:59 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 6:43 AM,
might be an old story np.__version__ - '1.5.1'
It thought for once it's easier to use reshape to add a new axis
instead of ...,None
but my results got weird (normal(0,1) sample of 2.13795875e-314)
x = 1
y = np.arange(3)
z = np.arange(2)[:,None]
np.broadcast(x,y,z)
numpy.broadcast object at
just a basic question (since I haven't looked at this in some time)
I'm creating a structured array in a function. However, I want to
return the array with just a simple dtype
uni = uni.view(dt).reshape(-1, ncols)
return uni
the returned uni has owndata=False. Who owns the data, since the
On Wed, Nov 30, 2011 at 4:00 PM, Robert Kern robert.k...@gmail.com wrote:
On Wed, Nov 30, 2011 at 20:30, josef.p...@gmail.com wrote:
just a basic question (since I haven't looked at this in some time)
I'm creating a structured array in a function. However, I want to
return the array with
On Wed, Nov 30, 2011 at 1:16 PM, Chao YUE chaoyue...@gmail.com wrote:
Hi all,
I just want to broadly ask what statistical package are you guys using? I
mean routine statistical function like linear regression, GLM, ANOVA... etc.
I know there is SciKits packages like statsmodels, but are
np.__version__ '1.5.1' official win32 installer
(playing with ipython for once)
I thought np.dot is Lapack based and favors fortran order, but if the
second array is fortran ordered, then dot takes twice as long. The
order of the first array seems irrelevant
(or maybe just with my shapes, in
On Thu, Dec 1, 2011 at 12:26 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Dec 1, 2011 at 10:52 AM, jonasr jonas.rueb...@web.de wrote:
Hi,
is there any possibility to define a numpy matrix, via a smaller given
matrix, i.e. in matlab
i can do this like
a=[1 2 ; 3 4 ]
A=[a a ; a a ]
On Tue, Dec 6, 2011 at 7:55 PM, Olivier Delalleau sh...@keba.be wrote:
It may not be the most efficient way to do this, but you can do:
mask = b a
a[mask] = b[mask]
-=- Olivier
2011/12/6 questions anon questions.a...@gmail.com
I would like to produce an array with the maximum values out
On Tue, Dec 6, 2011 at 9:36 PM, Olivier Delalleau sh...@keba.be wrote:
The out=a keyword will ensure your first array will keep being updated. So
you can do something like:
a = my_list_of_arrays[0]
for b in my_list_of_arrays[1:]:
numpy.maximum(a, b, out=a)
I didn't think of the out
If I want to know whether something that might be an array is really a
plain ndarray and not a subclass, is using `type` the safest bet?
All the other forms don't discriminate against subclasses.
type(np.ma.zeros(3)) is np.ndarray
False
type(np.zeros(3)) is np.ndarray
True
On Mon, Dec 12, 2011 at 9:04 AM, LASAGNA DAVIDE
davide.lasa...@polito.it wrote:
Hi,
I have written a class for polynomials with negative
exponents like:
p(x) = a0 + a1*x**-1 + ... + an*x**-n
The code is this one:
class NegativeExpPolynomial( object ):
def __init__ ( self, coeffs ):
On Mon, Dec 12, 2011 at 9:35 AM, josef.p...@gmail.com wrote:
On Mon, Dec 12, 2011 at 9:04 AM, LASAGNA DAVIDE
davide.lasa...@polito.it wrote:
Hi,
I have written a class for polynomials with negative
exponents like:
p(x) = a0 + a1*x**-1 + ... + an*x**-n
The code is this one:
class
On Mon, Dec 19, 2011 at 6:27 PM, eat e.antero.ta...@gmail.com wrote:
Hi,
Especially when the keyword return_index of np.unique(.) is specified to be
True, would it in general also be reasonable to be able to specify the
sorting algorithm of the underlying np.argsort(.)?
The rationale is
On Mon, Dec 19, 2011 at 8:16 PM, eat e.antero.ta...@gmail.com wrote:
Hi,
On Tue, Dec 20, 2011 at 2:33 AM, josef.p...@gmail.com wrote:
On Mon, Dec 19, 2011 at 6:27 PM, eat e.antero.ta...@gmail.com wrote:
Hi,
Especially when the keyword return_index of np.unique(.) is specified to
be
On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon adnoth...@gmail.com wrote:
Hello Nicola,
I am not aware of a magical one function numpy solution (is there one
numpy gurus?).
I don't know if it's optimal, but here's how I usually do similar things.
I wrote a simple function that assigns
On Thu, Dec 22, 2011 at 11:17 AM, josef.p...@gmail.com wrote:
On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon adnoth...@gmail.com wrote:
Hello Nicola,
I am not aware of a magical one function numpy solution (is there one
numpy gurus?).
I don't know if it's optimal, but here's how I usually
On Thu, Dec 22, 2011 at 11:39 AM, Adrien adnoth...@gmail.com wrote:
Le 22/12/2011 17:17, josef.p...@gmail.com a écrit :
On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidonadnoth...@gmail.com wrote:
Hello Nicola,
I am not aware of a magical one function numpy solution (is there one
numpy gurus?).
On Mon, Dec 26, 2011 at 1:51 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
2011/12/25 Jordi Gutiérrez Hermoso jord...@octave.org
I have been instructed to bring this issue to the mailing list:
http://projects.scipy.org/numpy/ticket/1994
The issue is this corner case:
idx = []
x
2011/12/26 Jordi Gutiérrez Hermoso jord...@octave.org:
On 26 December 2011 14:56, Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Mon, Dec 26, 2011 at 8:50 PM, josef.p...@gmail.com wrote:
I have a hard time thinking through empty 2-dim arrays, and don't know
what rules should apply.
On Mon, Jan 2, 2012 at 9:44 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I've made a pull request for a rather large update of the polynomial
package. The new features are
1) Bug fixes
2) Improved documentation in the numpy reference
3) Preliminary support for
On Sat, Jan 14, 2012 at 5:25 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, Jan 14, 2012 at 4:16 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, Jan 14, 2012 at 4:12 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
This sort of makes sense, but is it the 'correct' behavior?
In
On Sun, Jan 15, 2012 at 3:15 AM, Nathaniel Smith n...@pobox.com wrote:
On Sat, Jan 14, 2012 at 2:12 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
This sort of makes sense, but is it the 'correct' behavior?
In [20]: zeros(2, 'S')
Out[20]:
array(['', ''],
dtype='|S1')
I think
On Sat, Jan 21, 2012 at 6:26 PM, John Salvatier
jsalv...@u.washington.edu wrote:
I ran into this a while ago and was confused why cov did not behave the way
pierre suggested.
same here,
When I rewrote scipy.stats.spearmanr, I matched the numpy behavior for
two arrays, while R only returns the
On Tue, Jan 24, 2012 at 7:21 PM, eat e.antero.ta...@gmail.com wrote:
Hi
On Wed, Jan 25, 2012 at 1:21 AM, Kathleen M Tacina
kathleen.m.tac...@nasa.gov wrote:
**
I found something similar, with a very simple example.
On 64-bit linux, python 2.7.2, numpy development version:
In [22]: a =
On Wed, Jan 25, 2012 at 12:03 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Jan 24, 2012 at 4:21 PM, Kathleen M Tacina
kathleen.m.tac...@nasa.gov wrote:
I found something similar, with a very simple example.
On 64-bit linux, python 2.7.2, numpy development version:
In
On Wed, Jan 25, 2012 at 2:27 PM, Chris Barker chris.bar...@noaa.gov wrote:
HI folks,
Is there a way to get a view of a subset of a structured array? I know
that an arbitrary subset will not fit into the numpy stridesoffsets
model, but some will, and it would be nice to have a view:
For
On Thu, Jan 26, 2012 at 12:26 PM, Sturla Molden stu...@molden.no wrote:
Den 26.01.2012 17:25, skrev Pierre Haessig:
However, in the case this change is not possible, I would see this
solution :
* add and xcov function that does what Elliot and Sturla and I
described, because
The current
On Thu, Jan 26, 2012 at 3:58 PM, Bruce Southey bsout...@gmail.com wrote:
On Thu, Jan 26, 2012 at 12:45 PM, josef.p...@gmail.com wrote:
On Thu, Jan 26, 2012 at 1:25 PM, Bruce Southey bsout...@gmail.com wrote:
On Thu, Jan 26, 2012 at 10:07 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Le
On Tue, Jan 31, 2012 at 5:35 PM, Travis Oliphant tra...@continuum.io wrote:
Actually i believe the NumPy 'any' and 'all' names pre-date the Python usage
which first appeared in Python 2.5
I agree with Chris that namespaces are a great idea. I don't agree with
deprecating 'any' and 'all'
I
On Wed, Feb 1, 2012 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote:
On Wednesday, February 1, 2012, Pierre Haessig pierre.haes...@crans.org
wrote:
Hi,
[I'm not sure whether this discussion belongs to numpy-discussion or
scipy-dev]
In day to day time series analysis I regularly need to
On Fri, Feb 3, 2012 at 8:44 AM, Alan G Isaac alan.is...@gmail.com wrote:
On 2/3/2012 5:16 AM, santhu kumar wrote:
x = nX3 vector.
mass = nX1 vector
inert = zeros((3,3))
for i in range(n):
ri = x[i,:].reshape(1,3)
inert = inert + mass[i,]*(sum(ri*ri)*eye(3) - dot(ri.T,ri))
On Fri, Feb 3, 2012 at 1:29 PM, santhu kumar mesan...@gmail.com wrote:
Hello all,
Thanks for lovely solutions. I have sat on it for some time and wrote it
myself :
n =x.shape[0]
ea = np.array([1,0,0,0,1,0,0,0,1])
inert = ((np.tile(ea,(n,1))*((x*x).sum(axis=1)[:,np.newaxis]) -
On Fri, Feb 3, 2012 at 1:58 PM, santhu kumar mesan...@gmail.com wrote:
Hi Josef,
I am unclear on what you want to say, but all I am doing in the code is
getting inertia tensor for a bunch of particle masses.
(http://en.wikipedia.org/wiki/Moment_of_inertia#Moment_of_inertia_tensor)
So the
On Fri, Feb 3, 2012 at 2:33 PM, josef.p...@gmail.com wrote:
On Fri, Feb 3, 2012 at 1:58 PM, santhu kumar mesan...@gmail.com wrote:
Hi Josef,
I am unclear on what you want to say, but all I am doing in the code is
getting inertia tensor for a bunch of particle masses.
On Fri, Feb 3, 2012 at 4:49 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 2/3/2012 3:37 PM, josef.p...@gmail.com wrote:
res = - np.dot(x.T, mass*x)
res[np.arange(3), np.arange(3)] -= np.trace(res)
Nice!
Get some speed gain with slicing:
res = - np.dot(x.T, mass*x)
On Sun, Feb 5, 2012 at 12:39 PM, Paolo p.zaff...@yahoo.it wrote:
This is my code:
matrix=.join(f.readlines())
my guess would be, that you have to strip the line endings \n versus \r\n
Josef
matrix=np.fromstring(matrix, dtype=np.int16)
matrix=matrix.reshape(siz[2],siz[1],siz[0]).T
On Sun, Feb 5, 2012 at 12:52 PM, Paolo p.zaff...@yahoo.it wrote:
How I can do this?
I'm not sure without trying, numpy.loadtxt might be the easier choice
matrix=.join((i.strip() for i in f.readlines()))
I think strip() also removes newlines besides other whitespace
otherwise more
On Wed, Feb 8, 2012 at 10:29 AM, Sturla Molden stu...@molden.no wrote:
On 08.02.2012 15:49, Travis Oliphant wrote:
This sort of thing would take time, but is not out of the question in my
mind because I suspect the number of users and use-cases of broadcasted
fancy-indexing is small.
I
On Thu, Feb 9, 2012 at 11:39 PM, Dave Cook dav...@gmail.com wrote:
Why is numpy.cumsum (along axis=0) so much slower than a simple loop? The
same goes for numpy.add.accumulate
# cumsumtest.py
import numpy as np
def loopcumsum(a):
csum = np.empty_like(a)
s = 0.0
for i in
On Wed, Feb 15, 2012 at 4:43 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Feb 15, 2012 at 12:45 PM, Alan G Isaac alan.is...@gmail.com wrote:
My analysis is fundamentally different than Matthew
and Benjamin's for a few reasons.
1. The problem has been miscast.
The
On Wed, Feb 15, 2012 at 7:27 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 02/15/2012 02:24 PM, Mark Wiebe wrote:
On Wed, Feb 15, 2012 at 1:36 PM, Matthew Brett matthew.br...@gmail.com
mailto:matthew.br...@gmail.com wrote:
Hi,
On Wed, Feb 15, 2012 at 12:55 PM, Mark
On Wed, Feb 15, 2012 at 8:49 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Feb 15, 2012 at 4:27 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 02/15/2012 02:24 PM, Mark Wiebe wrote:
There certainly is governance now, it's just informal. It's a
combination of
On Wed, Feb 15, 2012 at 9:12 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Feb 15, 2012 at 6:07 PM, josef.p...@gmail.com wrote:
On Wed, Feb 15, 2012 at 8:49 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Wed, Feb 15, 2012 at 4:27 PM, Dag Sverre Seljebotn
Doing a bit of browsing in the numpy tracker, I found this. From my
search this was not discussed on the mailing list.
http://projects.scipy.org/numpy/ticket/1842
The multivariate normal random sample is not always the same, even
though a seed is specified.
It seems to alternate randomly
On Wed, Feb 15, 2012 at 10:52 PM, josef.p...@gmail.com wrote:
Doing a bit of browsing in the numpy tracker, I found this. From my
search this was not discussed on the mailing list.
http://projects.scipy.org/numpy/ticket/1842
The multivariate normal random sample is not always the same, even
On Thu, Feb 16, 2012 at 4:44 AM, Pauli Virtanen p...@iki.fi wrote:
Hi,
16.02.2012 06:09, josef.p...@gmail.com kirjoitti:
[clip]
numpy linalg.svd doesn't produce always the same results
running this gives two different answers,
using scipy.linalg.svd I always get the same answer, which is
On Thu, Feb 16, 2012 at 8:45 AM, Pauli Virtanen p...@iki.fi wrote:
16.02.2012 14:14, josef.p...@gmail.com kirjoitti:
[clip]
We had other cases of several patterns in quasi-deterministic linalg
before, but as far as I remember only in the final digits of
precision, where it didn't matter much
On Thu, Feb 16, 2012 at 9:08 AM, Pauli Virtanen p...@iki.fi wrote:
16.02.2012 14:54, josef.p...@gmail.com kirjoitti:
[clip]
If I interpret you correctly, this should be a svd ticket, or an svd
ticket as duplicate ?
I think it should be a multivariate normal ticket.
Fixing SVD is in my
On Thu, Feb 16, 2012 at 11:20 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Thu, Feb 16, 2012 at 10:12 AM, Pierre Haessig pierre.haes...@crans.org
wrote:
Le 16/02/2012 16:20, josef.p...@gmail.com a écrit :
I don't see any way to fix multivariate_normal for this case, except
On Thu, Feb 16, 2012 at 11:30 AM, josef.p...@gmail.com wrote:
On Thu, Feb 16, 2012 at 11:20 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Thu, Feb 16, 2012 at 10:12 AM, Pierre Haessig pierre.haes...@crans.org
wrote:
Le 16/02/2012 16:20, josef.p...@gmail.com a écrit :
I
On Thu, Feb 16, 2012 at 11:47 AM, josef.p...@gmail.com wrote:
On Thu, Feb 16, 2012 at 11:30 AM, josef.p...@gmail.com wrote:
On Thu, Feb 16, 2012 at 11:20 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Thu, Feb 16, 2012 at 10:12 AM, Pierre Haessig pierre.haes...@crans.org
On Thu, Feb 16, 2012 at 12:53 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Feb 16, 2012 at 9:56 AM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Feb 16, 2012 at 12:27 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
If non-contributing users came along on the
On Fri, Feb 17, 2012 at 12:54 AM, Benjamin Root ben.r...@ou.edu wrote:
On Thursday, February 16, 2012, John Hunter wrote:
On Thu, Feb 16, 2012 at 7:26 PM, Alan G Isaac alan.is...@gmail.com
wrote:
On 2/16/2012 7:22 PM, Matthew Brett wrote:
This has not been an encouraging episode in
On Fri, Feb 17, 2012 at 9:29 PM, David Cournapeau courn...@gmail.com wrote:
Le 18 févr. 2012 00:58, Charles R Harris charlesr.har...@gmail.com a
écrit :
On Fri, Feb 17, 2012 at 4:44 PM, David Cournapeau courn...@gmail.com
wrote:
I don't think c++ has any significant advantage over c
(on a ambiguous day, pessimistic or optimistic?)
Numpy is a monster written by a bunch of amateurs (engineers and
scientists), with a glacial pace of development.
If we want to make any progress to the world dominance of python in
science, we need to go professionally about it.
First we need to
On Sat, Feb 18, 2012 at 2:14 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Sat, Feb 18, 2012 at 9:06 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 02/18/2012 08:52 AM, Benjamin Root wrote:
On Saturday, February 18, 2012, Sturla Molden wrote:
Den 18. feb.
(I got distracted by some numerical accuracy checks. np.polyfit looks
good in NIST test.)
Does numpy have something like this?
def lre(actual, desired):
'''calculate log relative error, number of correct significant digits
not an informative function name
Parameters
--
On Thu, Mar 1, 2012 at 10:39 AM, Olivier Delalleau sh...@keba.be wrote:
Sorry I can't help, but I'd just suggest to post this on the scipy mailing
list as you may get more replies there.
-=- Olivier
Le 1 mars 2012 10:24, Pierre Barthelemy bart...@gmail.com a écrit :
Dear all,
i am
On Thu, Mar 1, 2012 at 10:10 AM, Zayd YAKOUBI zayd.yako...@gmail.com wrote:
thank you very much,
In fact, the functions of these two measures are for binary vectors, and I
have not found their extension to real data such as: 0.7, 0.9, 1.7
Knowing that I applied to this data and it worked
On Mon, Mar 5, 2012 at 10:27 AM, Chao YUE chaoyue...@gmail.com wrote:
Dear all,
Sorry this is not the good place to ask but I think there must be someone
who has done this before.
Is there any way to see the execution of python script line by line as the
verbose model of shell script?
this
On Mon, Mar 5, 2012 at 2:33 PM, Olivier Delalleau sh...@keba.be wrote:
Le 5 mars 2012 14:29, Keith Goodman kwgood...@gmail.com a écrit :
On Mon, Mar 5, 2012 at 11:24 AM, Neal Becker ndbeck...@gmail.com wrote:
Keith Goodman wrote:
On Mon, Mar 5, 2012 at 11:14 AM, Neal Becker
On Wed, Mar 7, 2012 at 1:54 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
Many here have probably received the message from github about push/pull
access being blocked until you have auditied your ssh keys. To generate a
key fingerprint on fedora, I did the following:
On Fri, Mar 16, 2012 at 2:10 AM, Ilan Schnell ischn...@enthought.com wrote:
I just did a quick test across all supported EPD platforms:
win-64: float96 No, float128 No
win-32: float96 No, float128 No
osx-64: float96 No, float128 Yes
osx-32: float96 No, float128 Yes
rh3-64: float96 No,
What happened to any plans for GSOC?
http://wiki.python.org/moin/SummerOfCode/2012
Josef
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
On Sun, Mar 25, 2012 at 6:30 PM, Pierre Haessig
pierre.haes...@crans.org wrote:
Hi,
A quick question I've had in mind for some time but didn't find a solution :
Is there a significant difference between numpy.percentile and
scipy.stats.scoreatpercentile ?
Of course the signatures are
On Wed, Mar 28, 2012 at 5:44 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Le 27/03/2012 18:56, josef.p...@gmail.com a écrit :
similar to std, var, histogram, ... some functions from scipy.stats
are now in numpy.
Ok, historical reasons then. Fair enough.
Would a See also:
On Wed, Mar 28, 2012 at 10:55 AM, Thouis (Ray) Jones tho...@gmail.com wrote:
I am seeing some very strange behavior searching a unicode array. The
attached code outputs the following:
UNICODE
Is sorted: True
Search sorted by iteration, left: [0, 1, 2, 4, 4, 6, 6, 8, 8, 10, 10,
12, 12, 13]
On Wed, Mar 28, 2012 at 11:51 AM, josef.p...@gmail.com wrote:
On Wed, Mar 28, 2012 at 10:55 AM, Thouis (Ray) Jones tho...@gmail.com wrote:
I am seeing some very strange behavior searching a unicode array. The
attached code outputs the following:
UNICODE
Is sorted: True
Search sorted by
2012/4/2 Hongbin Zhang hongbin_zhan...@hotmail.com:
Dear Python-users,
I am currently very confused about the Scipy routine to obtain the
eigenvectors of a complex matrix.
In attached you find two files to diagonalize a 2X2 complex Hermitian
matrix, however, on my computer,
If I run
On Wed, Apr 18, 2012 at 4:14 PM, Pauli Virtanen p...@iki.fi wrote:
Hi,
18.04.2012 19:57, Alan G Isaac kirjoitti:
http://docs.scipy.org/doc/numpy/reference/routines.matlib.html#module-numpy.matlib
promises a list of functions that does not appear (at the moment, anyway).
This doesn't seem to
On Mon, Apr 23, 2012 at 2:05 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Thu, Apr 19, 2012 at 3:12 AM, josef.p...@gmail.com wrote:
On Wed, Apr 18, 2012 at 4:14 PM, Pauli Virtanen p...@iki.fi wrote:
Hi,
18.04.2012 19:57, Alan G Isaac kirjoitti:
On Tue, Apr 24, 2012 at 9:43 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Hi,
Le 24/04/2012 15:14, Charles R Harris a écrit :
a) All arrays should be implicitly masked, even if the mask isn't
initially allocated. The maskna keyword can then be removed, taking
with it the sense that
On Tue, Apr 24, 2012 at 2:35 PM, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Apr 24, 2012 at 2:12 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Apr 24, 2012 at 9:25 AM, josef.p...@gmail.com wrote:
On Tue, Apr 24, 2012 at 9:43 AM, Pierre Haessig
pierre.haes...@crans.org
On Tue, Apr 24, 2012 at 11:28 PM, Fernando Perez fperez@gmail.com wrote:
On Tue, Apr 24, 2012 at 8:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Fernando, I'm not checking credentials, I'm curious.
Well, at least I think that an inquisitive query about someone's
background,
On Wed, Apr 25, 2012 at 12:25 AM, Travis Oliphant tra...@continuum.io wrote:
On Apr 24, 2012, at 10:50 PM, Charles R Harris wrote:
On Tue, Apr 24, 2012 at 9:28 PM, Fernando Perez fperez@gmail.com
wrote:
On Tue, Apr 24, 2012 at 8:02 PM, Charles R Harris
charlesr.har...@gmail.com
On Wed, Apr 25, 2012 at 5:54 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Apr 25, 2012 at 2:35 PM, Travis Oliphant tra...@continuum.io wrote:
Do you agree that Numpy has not been very successful in recruiting and
maintaining new developers compared to its large user-base?
On Wed, Apr 25, 2012 at 7:08 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Apr 25, 2012 at 3:24 PM, josef.p...@gmail.com wrote:
On Wed, Apr 25, 2012 at 5:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Wed, Apr 25, 2012 at 2:35 PM, Travis Oliphant
On Fri, Apr 27, 2012 at 10:33 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Apr 27, 2012 at 8:15 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Wed, Apr 25, 2012 at 9:58 AM, Richard Hattersley
rhatters...@gmail.com wrote:
The masked array discussions have
We are pleased to announce the release of statsmodels 0.4.0.
The big changes in this release are that most models can now be used
with Pandas dataframes, and that we dropped the scikits namespace.
Importing scikits.statsmodels is still possible but will be removed in
the future.
Pandas is now a
On Mon, Apr 30, 2012 at 7:27 AM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Apr 30, 2012 at 12:09, Bruno Santos bacmsan...@gmail.com wrote:
Hello everyone,
I have a bit of code where I am using rpy2 to import R phyper so I can
perform an hypergeometric test. Unfortunately our cluster
On Tue, May 1, 2012 at 7:48 PM, Pauli Virtanen p...@iki.fi wrote:
01.05.2012 21:34, Ralf Gommers kirjoitti:
[clip]
At this point it's probably good to look again at the problems we want
to solve:
1. responsive user interface (must absolutely have)
Now that it comes too late: with some luck,
On Tue, May 1, 2012 at 8:29 PM, Fernando Perez fperez@gmail.com wrote:
On Tue, May 1, 2012 at 5:24 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
I would agree that a good search facility is essential, and not keyword/tag
based.
Github issues does have full-text search, and up
On Sun, May 6, 2012 at 4:39 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Sun, May 6, 2012 at 9:08 PM, Chris Ball ceb...@gmail.com wrote:
Hi,
I'm trying to figure out how to run NumPy's tests with coverage enabled
(i.e.
numpy.test(coverage=True) ). I can run the tests
On Wed, May 16, 2012 at 11:05 AM, Fabrice Silva si...@lma.cnrs-mrs.fr wrote:
Hi,
I am getting into troubles when using numpy.testing with coverage. A
minimal example package is atached to this email. Unpack and run:
$ python -c import mypackage; mypackage.test(verbose=10,coverage=False)
$
On Tue, May 22, 2012 at 10:51 AM, Tim Cera t...@cerazone.net wrote:
Docstrings are not stored in .rst files but in the numpy sources, so there
are some non-trivial technical and workflow details missing here. But
besides that, I think translating everything (even into a single language)
is a
On Thu, May 24, 2012 at 1:59 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, May 24, 2012 at 6:07 PM, Larsen, Brian A balar...@lanl.gov wrote:
This is the stack overflow discussion mentioned.
http://stackoverflow.com/questions/9164269/can-you-tell-if-an-array-is-a-view-of-another
I
https://github.com/numpy/numpy/commit/74b9f5eef8fac643bf9012dbb2ac6b4b19f46892
broke return_inverse for structured arrays, because of the use of mergesort
I'm using structured dtypes to get uniques and return_inverse by rows
groups = np.random.randint(0,4,size=(10,2))
groups_ =
On Wed, May 30, 2012 at 5:55 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, May 30, 2012 at 5:39 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Wed, May 30, 2012 at 4:59 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, May 29, 2012 at 7:42 PM, Charles R Harris
Is there a way to convert an array to string elements in numpy,
without knowing the string length?
arr2 = np.arange(8, 13)
arr2.astype(str) # bad
array(['8', '9', '1', '1', '1'],
dtype='|S1')
arr2.astype('S2')
array(['8', '9', '10', '11', '12'],
dtype='|S2')
map(str, arr2)
On Sun, Jun 10, 2012 at 2:17 AM, Travis Oliphant tra...@continuum.io wrote:
On Jun 9, 2012, at 4:45 PM, josef.p...@gmail.com wrote:
Is there a way to convert an array to string elements in numpy,
without knowing the string length?
Not really. In the next release of NumPy you should be
On Sat, Jun 16, 2012 at 4:39 PM, Nathaniel Smith n...@pobox.com wrote:
On Sat, Jun 16, 2012 at 9:03 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Sat, Jun 16, 2012 at 10:40 AM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Jun 15, 2012 at 4:10 AM, Charles R Harris
On Mon, Jun 25, 2012 at 8:10 PM, Travis Oliphant tra...@continuum.io wrote:
You are still missing the point that there was already a choice that was
made in the previous class --- made in Numeric actually.
You made a change to that. It is the change that is 'gratuitous'. The pain
and
On Mon, Jun 25, 2012 at 8:25 PM, josef.p...@gmail.com wrote:
On Mon, Jun 25, 2012 at 8:10 PM, Travis Oliphant tra...@continuum.io wrote:
You are still missing the point that there was already a choice that was
made in the previous class --- made in Numeric actually.
You made a change to
On Mon, Jun 25, 2012 at 9:50 PM, Travis Oliphant tra...@continuum.io wrote:
On Jun 25, 2012, at 7:53 PM, josef.p...@gmail.com wrote:
On Mon, Jun 25, 2012 at 8:25 PM, josef.p...@gmail.com wrote:
On Mon, Jun 25, 2012 at 8:10 PM, Travis Oliphant tra...@continuum.io
wrote:
You are still
On Mon, Jun 25, 2012 at 11:10 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
On Mon, Jun 25, 2012 at 7:38 PM, Fernando Perez fperez@gmail.com wrote:
On Mon, Jun 25, 2012 at 6:39 PM, Travis Oliphant tra...@continuum.io wrote:
On Jun 25, 2012, at 7:21 PM, Fernando Perez wrote:
For
On Sat, Jun 30, 2012 at 1:52 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Jun 27, 2012 at 12:38 AM, Christoph Gohlke cgoh...@uci.edu wrote:
On 6/26/2012 8:13 PM, Travis Oliphant wrote:
For the main repos we use buildbot and test on:
Ubuntu Maverick 32-bit
Debian sid 64-bit
just some statistics
http://stackoverflow.com/questions/tagged/numpy
769 followers, 2,850 questions tagged
a guess: average response time for regular usage question far less than an hour
http://stackoverflow.com/questions/tagged/scipy
446 followers, 991questions tagged
On Sat, Jun 30, 2012 at 5:02 PM, T J tjhn...@gmail.com wrote:
On Sat, Jun 30, 2012 at 1:50 PM, srean srean.l...@gmail.com wrote:
Anecdotal data-point:
I have been happy with SO in general. It works for certain types of
queries very well. OTOH if the answer to the question is known only to
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