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 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 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 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 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 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 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 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 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 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 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 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 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 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
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 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
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 ]
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
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
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,
On Sun, Oct 30, 2011 at 7:18 AM, David Cournapeau courn...@gmail.com wrote:
On Thu, Oct 27, 2011 at 5:19 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi David,
On Thu, Oct 27, 2011 at 3:02 PM, David Cournapeau courn...@gmail.com
wrote:
Hi,
I was wondering if we could finally move
On Thu, Oct 27, 2011 at 9:02 AM, David Cournapeau courn...@gmail.com wrote:
Hi,
I was wondering if we could finally move to a more recent version of
compilers for official win32 installers. This would of course concern
the next release cycle, not the ones where beta/rc are already in
On Mon, Oct 17, 2011 at 6:17 AM, Pauli Virtanen p...@iki.fi wrote:
13.10.2011 12:59, Alex van der Spek kirjoitti:
gives me a confusing result. I only asked to name the columns and change
their
types to half precision floats.
Structured arrays shouldn't be thought as an array with named
On Mon, Oct 17, 2011 at 10:18 AM, Pauli Virtanen p...@iki.fi wrote:
17.10.2011 15:48, josef.p...@gmail.com kirjoitti:
On Mon, Oct 17, 2011 at 6:17 AM, Pauli Virtanen p...@iki.fi wrote:
[clip]
What am I missing? How to do this?
np.rec.fromarrays(arr.T, dtype=dt)
y.astype(float16).view(dt)
On Fri, Oct 14, 2011 at 10:24 AM, Alan G Isaac alan.is...@gmail.com wrote:
As a simple example, if I have y0 and a white noise series e,
what is the best way to produces a series y such that y[t] = 0.9*y[t-1] + e[t]
for t=1,2,...?
1. How can I best simulate an autoregressive process using
On Fri, Oct 14, 2011 at 11:56 AM, Fabrice Silva si...@lma.cnrs-mrs.fr wrote:
Le vendredi 14 octobre 2011 à 10:49 -0400, josef.p...@gmail.com a
écrit :
On Fri, Oct 14, 2011 at 10:24 AM, Alan G Isaac alan.is...@gmail.com wrote:
As a simple example, if I have y0 and a white noise series e,
On Fri, Oct 14, 2011 at 12:49 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 10/14/2011 12:21 PM, josef.p...@gmail.com wrote:
One other way to simulate the AR is to get the (truncated)
MA-representation, and then convolve can be used
Assuming stationarity ...
maybe ?
If it's integrated,
On Fri, Oct 14, 2011 at 1:26 PM, Alan G Isaac alan.is...@gmail.com wrote:
Assuming stationarity ...
On 10/14/2011 1:22 PM, josef.p...@gmail.com wrote:
maybe ?
I just meant that the MA approximation is
not reliable for a non-stationary AR.
E.g., http://www.jstor.org/stable/2348631
section
On Fri, Oct 14, 2011 at 2:18 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 10/14/2011 1:42 PM, josef.p...@gmail.com wrote:
If I remember correctly, signal.lfilter doesn't require stationarity,
but handling of the starting values is a bit difficult.
Hmm. Yes.
AR(1) is trivial, but how do
On Fri, Oct 14, 2011 at 2:39 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Fri, Oct 14, 2011 at 2:18 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 10/14/2011 1:42 PM, josef.p...@gmail.com wrote:
If I remember correctly, signal.lfilter doesn't require stationarity,
but handling of the
On Fri, Oct 14, 2011 at 2:29 PM, josef.p...@gmail.com wrote:
On Fri, Oct 14, 2011 at 2:18 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 10/14/2011 1:42 PM, josef.p...@gmail.com wrote:
If I remember correctly, signal.lfilter doesn't require stationarity,
but handling of the starting values
On Fri, Oct 14, 2011 at 2:59 PM, josef.p...@gmail.com wrote:
On Fri, Oct 14, 2011 at 2:29 PM, josef.p...@gmail.com wrote:
On Fri, Oct 14, 2011 at 2:18 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 10/14/2011 1:42 PM, josef.p...@gmail.com wrote:
If I remember correctly, signal.lfilter
On Thu, Oct 13, 2011 at 9:14 AM, Chao YUE chaoyue...@gmail.com wrote:
Dear all,
if I have a ndarray like array([1,2,3,2,3,1,1,1,2,2,,2,2,3]) containing
some values that are flag for data quality.
how can list all the values in this array, like doing a descriptive
statistics. I guess I
On Thu, Oct 13, 2011 at 1:17 PM, Chao YUE chaoyue...@gmail.com wrote:
Dear all,
I use numpy version 1.5.1 which is installed by default when I do sudo
apt-get install numpy on ubuntu 11.04.
but it seems that for np.ma.concatenate(arrays, axis), the axis parameter is
not working?
In [460]:
On Thu, Oct 13, 2011 at 6:42 PM, John Hunter jdh2...@gmail.com wrote:
On Thu, Oct 13, 2011 at 5:36 PM, Eric Firing efir...@hawaii.edu wrote:
It would be nice to have a social interface for the mpl gallery like the
one similar to the R-gallery
On Tue, Oct 11, 2011 at 3:06 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
On 11 Oct 2011, at 20:06, Matthew Brett wrote:
Have I missed a fast way of doing nice float to integer conversion?
By nice I mean, rounding to the nearest integer, converting NaN to 0,
inf, -inf to the
On Tue, Oct 11, 2011 at 7:13 PM, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Oct 11, 2011 at 2:51 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi
On Tue, Oct 11, 2011 at 3:16 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Oct 11, 2011 at 12:23 PM, Matthew Brett
On Tue, Oct 4, 2011 at 7:36 PM, Nathaniel Smith n...@pobox.com wrote:
[Does the group actually exist yet? Google says: No groups match
fastecuhla. Replying here instead...]
https://groups.google.com/group/fastecuhla
I've been following discussions around non-profit incorporation for
FOSS
On Tue, Sep 20, 2011 at 10:06 AM, dipo.elegb...@gmail.com wrote:
Hi Chico, my list needs to be converted to a numpy array first before I do
the count. Some other calculations rely on the count and its going to be
built all on numpy.
I have tried the collections.Counter() option but in
On Sun, Sep 18, 2011 at 12:48 PM, Keith Hughitt keith.hugh...@gmail.com wrote:
Interesting. It works as expected when called as a method:
In [10]: x = np.ma.array([[1,2,3]])
In [11]: x.std()
Out[11]: 0.81649658092772603
That's only the treatment of scalars in std
x =
On Sun, Sep 18, 2011 at 11:13 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Sep 18, 2011 at 9:08 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Sep 18, 2011 at 6:32 PM, Benjamin Root ben.r...@ou.edu wrote:
I was working on adding some test cases in numpy for
On Sat, Sep 17, 2011 at 2:52 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I'd like to start a discussion about modifications to lstsq to accommodate
the new masked arrays and move weights, scaling, and covariance
determination down to a lower common level. This is motivated
On Sat, Sep 17, 2011 at 5:12 PM, Wes McKinney wesmck...@gmail.com wrote:
On Sat, Sep 17, 2011 at 4:48 PM, Skipper Seabold jsseab...@gmail.com wrote:
Just ran into this. Any objections for having numpy.std and other
functions in core/fromnumeric.py call asanyarray before trying to use
the
On Wed, Aug 31, 2011 at 3:22 PM, Olivier Delalleau sh...@keba.be wrote:
2011/8/31 Christopher Jordan-Squire cjord...@uw.edu
On Wed, Aug 31, 2011 at 2:07 PM, Olivier Delalleau sh...@keba.be wrote:
You can use:
1 + numpy.argmax(numpy.random.multinomial(1, [0.1, 0.2, 0.7]))
For your real
On Tue, Aug 30, 2011 at 4:34 PM, Bryce Ready bryce.re...@gmail.com wrote:
Hello all,
So i'm using numpy 1.6.0, and trying to convert a (4,4) numpy array of dtype
'f8' into a record array of this dtype:
dt = np.dtype([('mat','(4,4)f8')])
Here is the code snippet:
In [21]: a =
On Fri, Aug 26, 2011 at 1:41 PM, Mark Janikas mjani...@esri.com wrote:
I wonder if my last statement is essentially the only answer... which I
wanted to avoid...
Should I just use combinations of the columns and try and construct the
corrcoef() (then ID whether NaNs are present), or use the
On Fri, Aug 26, 2011 at 2:57 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Aug 26, 2011 at 12:38 PM, Mark Janikas mjani...@esri.com wrote:
Charles! That looks like it could be a winner! It looks like you always
choose the last column of the U matrix and ID the columns that
On Wed, Aug 24, 2011 at 8:43 PM, Anthony Scopatz scop...@gmail.com wrote:
On Wed, Aug 24, 2011 at 7:34 PM, srean srean.l...@gmail.com wrote:
Thanks Anthony and Mark, this is good to know.
So what would be the advised way of looking at freshly baked documentation
? Just look at the raw
I'm just looking at http://projects.scipy.org/scipy/ticket/1200
I agree with Ralf that the bias keyword should be changed to ddof as
in the numpy functions. For functions in scipy.stats, and statistics
in general, I prefer the usual axis=0 default.
However, I think these functions, like
On Sat, Aug 13, 2011 at 3:45 PM, Pauli Virtanen p...@iki.fi wrote:
Sat, 13 Aug 2011 18:14:11 +0200, Ralf Gommers wrote:
[clip]
We should check if there's still any code in SVN branches that is
useful.
If so the people who are interested in it should move it somewhere else.
Anyone?
All the
On Wed, Aug 10, 2011 at 6:17 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Aug 10, 2011 at 12:38 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Wed, Aug 10, 2011 at 3:28 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I think this one might be for Pauli.
I've run
On Mon, Aug 1, 2011 at 8:43 PM, Bevan Jenkins beva...@gmail.com wrote:
Hello,
I have a function that I fitting to a curve via scipy.optimize.leastsq. The
function has 4 parameters and this is all working fine.
For a site, I have a number of curves (n=10 in the example below). I would
like
On Thu, Jul 7, 2011 at 9:26 AM, Wolfgang Kerzendorf
wkerzend...@googlemail.com wrote:
Hi all,
Is there an way to get random numbers from an arbitrary distribution
already built-in to numpy. I am interested to do that for a black body
distribution
What's a black body distributions? From a
On Wed, Jul 6, 2011 at 3:38 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 11:38 AM, Christopher Barker chris.bar...@noaa.gov
wrote:
Christopher Jordan-Squire wrote:
If we follow those rules for IGNORE for all computations, we sometimes
get some weird output.
On Wed, Jul 6, 2011 at 4:22 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 1:08 PM, josef.p...@gmail.com wrote:
On Wed, Jul 6, 2011 at 3:38 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 11:38 AM, Christopher Barker
On Wed, Jul 6, 2011 at 4:38 PM, josef.p...@gmail.com wrote:
On Wed, Jul 6, 2011 at 4:22 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 1:08 PM, josef.p...@gmail.com wrote:
On Wed, Jul 6, 2011 at 3:38 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 7:14 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Wed, Jul 6, 2011 at 3:47 PM, josef.p...@gmail.com wrote:
On Wed, Jul 6, 2011 at 4:38 PM, josef.p...@gmail.com wrote:
On Wed, Jul 6, 2011 at 4:22 PM, Christopher Jordan-Squire
cjord...@uw.edu wrote:
On Tue, Jul 5, 2011 at 10:33 AM, Ted To rainexpec...@theo.to wrote:
On 07/05/2011 10:17 AM, josef.p...@gmail.com wrote:
On Mon, Jul 4, 2011 at 10:13 PM, Ted To rainexpec...@theo.to wrote:
Hi,
Is there an easy way to make random draws from a conditional random
variable? E.g., draw a random
On Tue, Jul 5, 2011 at 12:26 PM, Ted To rainexpec...@theo.to wrote:
On 07/05/2011 11:07 AM, josef.p...@gmail.com wrote:
For example sample x=U and then sample y=u-x. That's two univariate
normal samples.
Ah, that's what I was looking for! Many thanks!
just in case I wasn't clear, if x and y
On Sat, Jul 2, 2011 at 4:10 PM, Benjamin Root ben.r...@ou.edu wrote:
On Fri, Jul 1, 2011 at 11:40 PM, Nathaniel Smith n...@pobox.com wrote:
I'm not sure what you mean here. If we have masked array support at
all (and some people seem to want it), then we have to say more than
it's an array
On Fri, Jul 1, 2011 at 1:59 PM, Skipper Seabold jsseab...@gmail.com wrote:
lib.recfunctions has never been fully advertised. The two bugs I just
discovered lead me to believe that it's not that well vetted, but it
is useful. I can't be the only one using these?
What do people think of either
On Thu, Jun 30, 2011 at 5:25 AM, Christoph Deil
deil.christ...@googlemail.com wrote:
On Jun 30, 2011, at 10:03 AM, Sachin Kumar Sharma wrote:
Hi,
I have three points 10800, 81100, 582000.
What is the easiest way of fitting a log normal and truncated log normal
distribution to these three
On Wed, Jun 29, 2011 at 11:05 AM, Robert Elsner ml...@re-factory.de wrote:
Yeah great that was spot-on. And I thought I knew most of the slicing
tricks. I combined it with a slice object so that
idx_obj = [ None for i in xrange(a.ndim) ]
or
idx_obj = [None] * a.ndim
otherwise this is also
On Mon, Jun 27, 2011 at 2:24 PM, eat e.antero.ta...@gmail.com wrote:
On Mon, Jun 27, 2011 at 8:53 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Jun 27, 2011 at 12:44 PM, eat e.antero.ta...@gmail.com wrote:
Hi,
On Mon, Jun 27, 2011 at 6:55 PM, Mark Wiebe mwwi...@gmail.com wrote:
First
On Mon, Jun 27, 2011 at 5:01 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Jun 27, 2011 at 2:59 PM, josef.p...@gmail.com wrote:
On Mon, Jun 27, 2011 at 2:24 PM, eat e.antero.ta...@gmail.com wrote:
On Mon, Jun 27, 2011 at 8:53 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Jun 27,
On Thu, Jun 23, 2011 at 8:20 AM, Neal Becker ndbeck...@gmail.com wrote:
Olivier Delalleau wrote:
What about :
dict((k, [e for e in arr if (e['x0'], e['x1']) == k]) for k in cases)
?
Not bad! Thanks!
BTW, is there an easier way to get the unique keys, then this:
cases = tuple (set
On Thu, Jun 23, 2011 at 5:37 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Thu, Jun 23, 2011 at 4:19 PM, Nathaniel Smith n...@pobox.com wrote:
I'd like to see a statement of what the missing data problem is, and
how this solves it? Because I don't think this is entirely intuitive,
or that
On Sun, Jun 5, 2011 at 6:51 PM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
On Sun, Jun 05, 2011 at 04:41:26PM -0600, Charles R Harris wrote:
Now, with regards to the actual failures induced by the new
branch, it took me a while to understand why they where happening,
On Wed, Jun 1, 2011 at 9:35 PM, David Cournapeau courn...@gmail.com wrote:
On Thu, Jun 2, 2011 at 1:49 AM, Mark Miller markperrymil...@gmail.com wrote:
Not quite. Bincount is fine if you have a set of approximately
sequential numbers. But if you don't
Even worse, it fails miserably if you
My favorite missing extension to numpy functions
np.bincount with 2 (or more) dimensional weights for fast calculation
of group statistics.
Josef
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I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args, **{'size':(nobs, nrep)})
the looping version has:
for irep in xrange(nrep):
rvs = distr.rvs(args, **{'size':nobs})
the rest
On Mon, May 23, 2011 at 3:02 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, May 23, 2011 at 13:33, josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args,
On Mon, May 23, 2011 at 3:27 PM, Bruce Southey bsout...@gmail.com wrote:
On 05/23/2011 02:02 PM, Robert Kern wrote:
On Mon, May 23, 2011 at 13:33,josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in
(just illustrating some porting fun)
I was struggling with another python 3.2 bug in scikits.statsmodels
(with grunfeld data)
with numpy 1.5.1, I'm reading the data with
data = recfromtxt(open(filepath + '/grunfeld.csv', 'rb'), delimiter=,,
names=True, dtype=f8,f8,f8,a17,f8)
On Mon, May 16, 2011 at 8:53 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 16, 2011 at 1:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Following a suggestion by Joseph, I am trying to implement the
Jonker-Volgenant algorithm for best linear assignment in
On Fri, May 13, 2011 at 10:58 AM, Bruce Southey bsout...@gmail.com wrote:
Hi,
How do you create a 'single' structured array using np.array()?
Basically I am attempting to do something like this that does not work:
a=np.array([1,2, 3,4, 5,6], dtype=np.dtype([('foo', int)]))
I realize that
On Fri, May 13, 2011 at 3:11 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
Hi,
just a comment since I first thought the solution below might not be
what Bruce
was looking for, but having realised it's probably what he's been
asking for...
On 13 May 2011, at 17:20,
On Fri, May 13, 2011 at 5:03 PM, Bruce Southey bsout...@gmail.com wrote:
On 05/13/2011 03:04 PM, josef.p...@gmail.com wrote:
On Fri, May 13, 2011 at 3:11 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
Hi,
just a comment since I first thought the solution below might not be
On Tue, May 3, 2011 at 5:06 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Tue, May 3, 2011 at 10:35 PM, Christoph Gohlke cgoh...@uci.edu wrote:
On 5/3/2011 11:18 AM, Ralf Gommers wrote:
Hi,
I am pleased to announce the availability of the second release
candidate of NumPy 1.6.0.
On Fri, Apr 29, 2011 at 10:56 PM, Alan Gibson dyssid...@gmail.com wrote:
Hello all,
This question may seem elementary (mostly because it is), but I can't
find documentation anywhere as to why the following are true:
import numpy as np
data = [(1,2,3),(4,5,6),(7,8,9)]
dt =
On Mon, Apr 25, 2011 at 2:50 AM, dileep kunjaai dileepkunj...@gmail.com wrote:
Dear sir,
I am have 2 mxn numpy array say obs fcst. I have to
calculate sum of squre of (obs[i, j]-fcst[i, j]) using from cdms2
import MV2 as MV in CDAT without using for loop.
For example:
On Sat, Apr 23, 2011 at 9:41 AM, David Cournapeau courn...@gmail.com wrote:
On Sat, Apr 23, 2011 at 10:33 PM, Till Stensitzki mail.t...@gmx.de wrote:
Hello,
due a mistake i found the following bug:
import numpy as np
x=np.zeros((262144, 262144))
print x.shape
Hm, this is a bit weird. The
On Sat, Apr 23, 2011 at 10:01 AM, josef.p...@gmail.com wrote:
On Sat, Apr 23, 2011 at 9:41 AM, David Cournapeau courn...@gmail.com wrote:
On Sat, Apr 23, 2011 at 10:33 PM, Till Stensitzki mail.t...@gmx.de wrote:
Hello,
due a mistake i found the following bug:
import numpy as np
On Wed, Apr 20, 2011 at 6:27 AM, Yannick Copin y.co...@ipnl.in2p3.fr wrote:
Hi,
I'm a very frequent user of the following unsqueeze function, which I
initially copied from scipy/stats/models/robust/scale.py and which seems to be
also present in scikits.statsmodels.tools.unsqueeze. Would it be
On Wed, Apr 20, 2011 at 2:19 PM, Daniel Lepage dplep...@gmail.com wrote:
You can also insert new axes when you slice an array via np.newaxis, fwiw:
import numpy as np
x = np.random.random((3,4,5))
y = x.mean(axis=1)
y.shape
(3, 5)
y[:,np.newaxis,:].shape
(3, 1, 5)
That's convenient if
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