+ 1]
Let us now how to assign significance to the result and to find optimal
'magic'
Val
On Fri, Apr 19, 2013 at 6:01 PM, Bakhtiyor Zokhidov <
bakhtiyor_zokhi...@mail.ru> wrote:
> Hello everybody,
>
> I just have one long string
> type:Thesampletextthatcouldber
.unique(x)
zip(xu['a'], xu['b'], np.bincount(np.searchsorted(xu, x)))
[(4, 3, 2), (4, 4, 2), (4, 5, 1), (5, 4, 1)]
Val
On Tue, Jul 24, 2012 at 5:09 PM, Giuseppe Amatulli <
giuseppe.amatu...@gmail.com> wrote:
> Hi,
>
> would like to identify unique pairs of num
module to speed up your operations.
Val
On Thu, May 31, 2012 at 8:27 AM, Wolfgang Kerzendorf
wrote:
> Hey Val,
>
> Well it doesn't matter what I do, but specifically I do factor =
> sum(data_array[start_point:start_point+length_data]) and then
> data[array[start_point:sta
What do you mean by "normalized it"?
Could you give the output of your procedure for the sample input data.
Val
On Thu, May 31, 2012 at 12:36 AM, Wolfgang Kerzendorf wrote:
> Dear all,
>
> I have an ndarray which consists of many arrays stacked behind each other
> (only
Confirmed on Ubuntu, np.__version__ 1.5.1 and 1.6.1 (backtraces are
bellow).
Something seems to be broken before it comes to memcpy
and/or _aligned_contig_to_strided_size1.
Val
-
np.__version__ 1.6.1
Program received signal SIGSEGV
You'll need some patience to get non-zeros, especially for k=1e-5
In [84]: np.sum(np.random.gamma(1e-5,size=100)!=0.0)
Out[84]: 7259
that's less than 1%. For k=1e-4 it's ~7%
Val
On Mon, May 28, 2012 at 10:33 PM, Uri Laserson wrote:
> I am trying to sample from a Diri
Hi Tod,
Would you consider bundling the quaternion dtype with your package.
I think everybody wins: your package would become stronger and
Martin's dtype would become easily available.
Thanks
Val
On Sat, May 5, 2012 at 6:27 AM, Tom Aldcroft
wrote:
> On Fri, May 4, 2012 at 11:44 PM, Ilan
hack, so your
solution wins again.
Cheers
Val
On Thu, Apr 5, 2012 at 2:52 PM, Tony Yu wrote:
> Is there a way to slice an nd-array along a specified axis? It's easy to
> slice along a fixed axis, e.g.:
>
> axis = 0:
> >>> array[start:end]
>
> axis = 1:
> >
to do something different, I cared about eigenvalues only
(BTW my Hamiltonians were carefully crafted).
Cheers
Val
PS I doubt anybody on this list cares to hear more about Berry's phase,
should take this discussion off-line
2012/4/3 Hongbin Zhang
> Hej Val,
>
> Thank you very mu
ro component of each
eigenvector be positive real number.
Finally to the point: it seems that numpy.linalg.eig uses these "rotations"
to turn the
diagonal elements in the eigenvector matrix to real positive numbers,
that's why the numpy solutions looks neat.
Val
PS Probably nobody ca
arbitrary phase factor
with absolute value = 1.
As you can see this factor is -1 for the 2nd eigenvector
and -0.99887305445887753-0.047461785427773337j for the other one.
Val
2012/4/2 Hongbin Zhang
> Dear Python-users,
>
> I am currently very confused about the Scipy routine to o
Will this do what you need to accomplish?
import datetime
np.array([(datetime.datetime.strptime(i[0], "%Y-%m-%d").date(), i[1]) for i
in a], dtype=[('date', 'object'), ('count', 'int')])
Val
On Wed, Mar 21, 2012 at 11:48 PM, Yan Tang wrote:
769313486e+308
nexp =11 min=-max
-
On Thu, Mar 15, 2012 at 11:38 PM, Matthew Brett wrote:
> Hi,
>
> On Thu, Mar 15, 2012 at 9:33 PM, Val Kalatsky wrote:
> >
> > I just happened to have an xp6
I just happened to have an xp64 VM running:
My version of numpy (1.6.1) does not have float128 (see more below what I
get in ipython session).
If you need to test something else please let me know.
Val
---
Enthought Python Distribution -- www.enthought.com
Python 2.7.2 |EPD 7.2-2 (64-bit
Can you?
The question should be: Why sympy does not have Fresnel integrals?
On Sun, Mar 11, 2012 at 1:06 AM, aa wrote:
> why sympy cannot integrate sin(x**2)??
> ___
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/m
-Ubuntu SMP Sun Sep 19 20:32:27 UTC 2010
x86_64 GNU/Linux
In [4]: np.__version__
Out[4]: '1.5.1'
I am afraid I will not be able to help testing it on super-nova versions of
numpy.
Cheers
Val
On Thu, Mar 8, 2012 at 1:49 AM, Christoph Gohle
wrote:
> Dear Val,
>
> I agree
]: ua.unit
Out[4]: 'liter'
On Wed, Mar 7, 2012 at 7:15 PM, Val Kalatsky wrote:
>
> Seeing the backtrace would be helpful.
> Can you do whatever leads to the segfault
> from python run from gdb?
> Val
>
>
> On Wed, Mar 7, 2012 at 7:04 PM, Christoph
Seeing the backtrace would be helpful.
Can you do whatever leads to the segfault
from python run from gdb?
Val
On Wed, Mar 7, 2012 at 7:04 PM, Christoph Gohle
wrote:
> -BEGIN PGP SIGNED MESSAGE-
> Hash: SHA1
>
> Hi,
>
> I have been struggeling for quite some time now.
]: True
In [76]: id(c8.base.base.base)==id(c1)
Out[76]: True
The graph of dependencies is only a tree, so sooner or later you'll get to
the root.
Val
On Tue, Feb 28, 2012 at 8:06 PM, Jonathan Rocher wrote:
> Thank you all for your answers. Kurt and I were training new developers on
>
Hi Slava,
Since your k is only 10, here is a quickie:
import numpy as np
arr = np.arange(n)
for i in range(k):
np.random.shuffle(arr)
print np.sort(arr[:p])
If your ever get non-unique entries in a set of k=10 for your n and p,
consider yourself lucky:)
Val
On Mon, Feb 20, 2012 at 10
send more info.
3) Something is seriously corrupted, probably not the case, because
segfault would follow quickly.
Please provide more info.
Val
PS Is it something related to what we'll be working on (Trilinos)?
On Thu, Feb 16, 2012 at 11:09 AM, Spotz, William F wrote:
> I have a user
instead of arr1d.
3) Caveat: np.unique is a major memory hogger, be prepared to waste ~1GB.
Val
On Tue, Feb 7, 2012 at 10:34 PM, Aronne Merrelli
wrote:
>
>
> On Mon, Feb 6, 2012 at 11:44 AM, Naresh Pai wrote:
>
>> I have two large matrices, say, ABC and DEF, each with a shape of 7000
p for your setup.
On the hand, I've done multiple EPD installations on various platforms and
never had problems.
Val
On Thu, Jan 26, 2012 at 11:09 PM, William McLendon wrote:
> Hi,
>
> I am trying to install NumPy (using
> numpy-1.6.1-win32-superpack-python2.7) on a Windows 7 machi
I believe there are no provisions made for that in ndarray.
But you can subclass ndarray.
Val
On Wed, Jan 25, 2012 at 12:10 PM, Emmanuel Mayssat wrote:
> Is there a way to store metadata for an array?
> For example, date the samples were collected, name of the operator, etc.
>
Just what Bruce said.
You can run the following to confirm:
np.mean(data - data.mean())
If for some reason you do not want to convert to float64 you can add the
result of the previous line to the "bad" mean:
bad_mean = data.mean()
good_mean = bad_mean + np.mean(data - bad_mean)
Val
O
A - np.digitize(A, S)
Should do the trick, just make sure that S is sorted and A and S do not
overlap,
if they do remove those items from A using set operations.
Val
On Tue, Jan 10, 2012 at 2:14 PM, Mads Ipsen wrote:
> **
> Hi,
>
> Suppose you have N items, say N = 10.
>
> Now
rable consequences.
Yep, 1.3.0 is old, but 1.7 has same loop prototype (with some minor
cosmetic change):
(char **args, intp *dimensions, intp *steps, void *func) -> (char **args,
intp *dimensions, intp *steps, void *NPY_UNUSED(func))
it probably has not change from the conception.
Thanks
Val
On
OnFail: the resolution took place and did not succeed, the user is given a
chance to fix it.
In most of the case these callbacks are NULLs.
I could patch numpy with a generic method that does it, but it's a shame
not to use the good ufunc machine.
Thanks for tips and suggestions.
Val Kal
Dear Dileep,
the numpy.where function returns the elements from A or 0 depending if
the condition in the first argument is satisfied:
B = np.where(A >= 0, A, 0)
Miguel
On Mon, Aug 01, 2011 at 03:01:13PM +0530, dileep kunjaai wrote:
> Dear sir,
>How can we fill a particular value in the place
The function numpy.genfromtxt reads text files into arrays. There is an
example on how to deal with fixed-width columns using the delimiter
argument in the docstring and in the I/O chapter of the user guide:
http://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html#the-delimiter-argument
Migu
On Thu, May 12, 2011 at 12:21:46PM +0200, Claudia Chan Yone wrote:
> Hi,
>
> I have a problem with the Numpy module, but I think it is a very basic issue
> for many of you...
> I have a file with numerical data (2 columns, and 5 lignes) as :
> 1 2
> 3 4
> ... ...
>
> And I woulid like to convert
On Fri, Mar 25, 2011 at 05:28:50PM +0530, dileep kunjaai wrote:
> Dear sir,
> I have a numpy array,,. in which i have to choose only different values
> only,
> For example
>
> Let A= [ 20. 21. 22. 23. 24. 25. 20. 21. 22. 23. 24. 25.
> 20. 21. 22. 23. 24. 25. 20. 21. 22. 23.
Hi Gökhan,
I will present a poster about astronomical data reduction and
visualization on Sunday. I will arrive to Atlanta on Wednesday
morning to attend a couple of tutorials before the conference and look
forward to participating in sprints or other activities.
Regards,
Miguel
On Mon, Mar 07,
an option in this type of
problems. Of course, more physical details would be helpful in
better understanding your problem.
good luck,
val
- Original Message -
From: "Dave P. Novakovic" <[EMAIL PROTECTED]>
To: "Discussion of Numerical Python"
Sent: Sund
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