On Wed, Nov 25, 2009 at 12:34 PM, Dan Yamins wrote:
> Sometimes I need to convert object-type arrays to their "natural, real"
> type, without a priori knowing what that type is, e.g. the equivalent of:
>
> >>> Y = np.array(X.tolist())
>
> where X is the object array. If X is naturally an array
Hi,
I have finally branched the trunk into the 1.4.x branch. I have
disabled the C API for datetime, and fixed the C API/ABI numbers. At
this point, you should avoid committing anything which is not a high
priority bug in the branch. I will prepare a first rc1 based on the
branch,
cheers,
D
My own solution (i just heard that a very similar fix is (about to
be) included in the new svn version) - for those who need a quickfix:
*) This quick and dirty solution is about a factor of 300 faster
for an input of 10^5 random numbers. Probably alot more for larger
vectors.
*) The deviation fr
On Nov 25, 2009, at 4:13 PM, mdekauwe wrote:
> I tried redoing the internal logic for example by using the where function
> but I can't seem to work out how to match up the logic. For example (note
> slightly different from above). If I change the main loop to
>
> lst = np.where((data > -900.0) &
On Wed, Nov 25, 2009 at 4:13 PM, mdekauwe wrote:
>
> I tried redoing the internal logic for example by using the where function
> but I can't seem to work out how to match up the logic. For example (note
> slightly different from above). If I change the main loop to
>
> lst = np.where((data > -900
I tried redoing the internal logic for example by using the where function
but I can't seem to work out how to match up the logic. For example (note
slightly different from above). If I change the main loop to
lst = np.where((data > -900.0) & (lst < -900.0), data, lst)
lst = np.where((data > -900
Hi James,
To answer the second question, use:
j = 1+numpy.array([2], numpy.int32)
The answer to the first question is that
the type of 1+numpy.array([2]) is
numpy.int64 but Fortran function expects
an array of type numpy.int32 and hence
the wrapper makes a copy of the input
array (which is a
Sometimes I need to convert object-type arrays to their "natural, real"
type, without a priori knowing what that type is, e.g. the equivalent of:
>>> Y = np.array(X.tolist())
where X is the object array. If X is naturally an array of ints, Y will be
an int array, if X is naturally strings, then
ke, 2009-11-25 kello 19:23 +0100, qu...@gmx.at kirjoitti:
[clip]
> Could someone please investigate why correlate and especially
> fftconvolve are orders of magnitude slower?
Read http://projects.scipy.org/numpy/ticket/1260
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Pearu,
Thanks. a follow question.
Using fortran
subroutine calc(j)
Cf2py intent(callback) pycalc
external pycalc
Cf2py integer dimension(1), intent(in,out):: j
integer j(1)
print *, 'in fortran before pycalc ',
'j=', j(1)
call pycalc(j)
print *, 'in fortran af
The correlation of a large data (about 250k points) v can be checked
via
correlate(v,v,mode='full')
and ought to give the same result as the matlab function
xcorr(v)
FFT might speed up the evaluation ...
In my specific case:
xcorr takes about 0.2 seconds.
correlate takes about 70 seco
David,
It does indeed work now. I also was able to find a repo package with the
atlas libraries, so I installed them as well. It appears that everything
went well.
Thank you again for your assistance.
-Kirk
On Tue, Nov 24, 2009 at 8:02 PM, David Cournapeau wrote:
> On Wed, Nov 25, 2009 at
>('\x00est', ''), ('\x00est', ''), ('\x00est', ''), ('\x00est',
> > ''),
> >('\x00est', ''), ('\x00est', '')],
> > dtype=[('A', '|S4'), ('B', '|S0')])
>
> That certainly looks like a bug -- where does the \0 appear in front of
> all but the first string?
>
Sorry, I'm not sure
ke, 2009-11-25 kello 09:48 -0500, Dan Yamins kirjoitti:
> Hi, I'm writing to report what looks like a two bugs in the handling
> of strings of length 0. (I'm using 1.4.0.dev7746, on Mac OSX 10.5.8.
> The problems below occur both for python 2.5 compiled 32-bit as well
> as python2.6 compiled 64-bi
On Wed, Nov 25, 2009 at 8:48 AM, Dan Yamins wrote:
> Am I just not supposed to be working with length-0 string columns, period?
But why would you want to? array dtypes are immutable, so you are
saying: I want this field to be only empty strings now and forever.
So you can't initialize them to b
Hi, I'm writing to report what looks like a two bugs in the handling of
strings of length 0. (I'm using 1.4.0.dev7746, on Mac OSX 10.5.8. The
problems below occur both for python 2.5 compiled 32-bit as well as
python2.6 compiled 64-bit).
Bug #1:
A problem arises when you try to create a record
On Wed, Nov 25, 2009 at 7:07 PM, Olivia Cheronet
wrote:
> The npy_math.c is attached here.
>
I have just tested a fresh svn checkout, and could built numpy
correctly on cygwin. I would suggest you update your sources, and
build from scratch (i.e. remove the entire build directory and start
from s
The npy_math.c is attached here.
Cheers,
Olivia
- Original Message
> On Wed, Nov 25, 2009 at 6:42 PM, Olivia Cheronet
> wrote:
> > The crt0.o file was indeed missing. I have reinstalled cygwin from the
> > cygwin
> setup.exe (as it seemed to be included therein), and it seems to have
On Wed, Nov 25, 2009 at 6:42 PM, Olivia Cheronet
wrote:
> The crt0.o file was indeed missing. I have reinstalled cygwin from the cygwin
> setup.exe (as it seemed to be included therein), and it seems to have solved
> that.
>
> compile options: '-Inumpy/core/include
> -Ibuild/src.cygwin-1.5.25-i
The crt0.o file was indeed missing. I have reinstalled cygwin from the cygwin
setup.exe (as it seemed to be included therein), and it seems to have solved
that.
However, I now get the error below.
Thanks,
Olivia
_
Running fr
Olivia Cheronet wrote:
> compile options: '-Inumpy/core/src -Inumpy/core/include
> -I/usr/include/python2.5 -c'
> gcc: _configtest.c
> gcc _configtest.o -llibm.a -o _configtest.exe
> /usr/lib/gcc/i686-pc-cygwin/3.4.4/../../../../i686-pc-cygwin/bin/ld: crt0.o:
> No such file: No such file or direc
Pearu Peterson wrote:
> Hmm, regarding `intent(in, out) j`, this should work. I'll check what
> is going on..
The `intent(in, out) j` works when pycalc is defined as subroutine:
call pycalc(i, j)
instead of
pyreturn = pycalc(i, j)
Pearu
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