On Aug 2, 2011, at 1:20 AM, Craig Yoshioka wrote:
Is there a limit to the number of fields a numpy recarray can have? I was
getting a strange error about a duplicate column name, but it wasn't a
duplicate.
And the error was… ?
___
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 08/01/2011 07:43 PM, Bevan Jenkins 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 to some of the parameters
On Wed, Jul 27, 2011 at 10:33 PM, Ilan Schnell ischn...@enthought.comwrote:
Please don't distribute a different numpy binary for each version of
MacOS X.
+1
Maybe I should mention that I just finished testing all Python
packages in EPD under 10.7, and everything (execpt numpy.sqr
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as an int and the remaining as floats. I'm currently
unsuccessful in my attempts. I've copied a simple script below that
shows what I've done and the
On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin jlcon...@gmail.com wrote:
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as an int and the remaining as floats. I'm currently
unsuccessful in my
On Tue, Aug 2, 2011 at 9:09 AM, Brett Olsen brett.ol...@gmail.com wrote:
On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin jlcon...@gmail.com wrote:
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as
Hi All,
I installed numpy from the scipy superpack on Snow Leopard with python 2.7
and it all appears to work but when I do the following, I get a segmentation
fault.
import numpy
print numpy.__version__, numpy.__file__
2.0.0.dev-b5cdaee
It's a wild guess, but in the past I've had seg faults issues on Mac due to
conflicting versions of Python. Do you have multiple Python installs on your
Mac?
-=- Olivier
2011/8/2 Thomas Markovich thomasmarkov...@gmail.com
Hi All,
I installed numpy from the scipy superpack on Snow Leopard
I just have the default apple version of python that comes with Snow
Leopard (Python 2.6.1 (r261:67515, Aug 2 2010, 20:10:18)) and python 2.7
(Python 2.7.2 (v2.7.2:8527427914a2, Jun 11 2011, 15:22:34) ) installed.
Should I just remove 2.7 and reinstall everything with the standard apple
python?
On 08/02/2011 11:14 AM, Thomas Markovich wrote:
I just have the default apple version of python that comes with Snow
Leopard (Python 2.6.1 (r261:67515, Aug 2 2010, 20:10:18)) and python
2.7 (Python 2.7.2 (v2.7.2:8527427914a2, Jun 11 2011, 15:22:34) )
installed.
Should I just remove 2.7 and
On Tue, Aug 2, 2011 at 6:14 PM, Thomas Markovich
thomasmarkov...@gmail.comwrote:
I just have the default apple version of python that comes with Snow
Leopard (Python 2.6.1 (r261:67515, Aug 2 2010, 20:10:18)) and python 2.7
(Python 2.7.2 (v2.7.2:8527427914a2, Jun 11 2011, 15:22:34) )
It appears that uninstalling python 2.7 and installing the scipy superpack
with the apple standard python removes the segfaulting behavior from numpy.
Now it appears that just scipy is segfaulting at test
test_arpack.test_hermitian_modes(True, std-hermitian, 'F', 2, 'SM', None,
0.5, function
On Tue, Aug 2, 2011 at 6:57 PM, Thomas Markovich
thomasmarkov...@gmail.comwrote:
It appears that uninstalling python 2.7 and installing the scipy superpack
with the apple standard python removes the segfaulting behavior from numpy.
Now it appears that just scipy is segfaulting at test
On 2 Aug 2011, at 18:57, Thomas Markovich wrote:
It appears that uninstalling python 2.7 and installing the scipy
superpack with the apple standard python removes the
Did the superpack installer automatically install numpy to the
python2.7 directory when present? Even if so, I reckon you
Oh okay, that's unfortunate but I guess not unexpected. Regardless, thank
you so much for all your help Ralf, Bruce, and Oliver! You guys are great.
Just to recap, the issue appears to stem from using the scipy superpack with
python 2.7 from python.org. This was solved by using the apple python
On 8/2/11 8:38 AM, Jeremy Conlin wrote:
Thanks, Brett. Using StringIO and numpy.loadtxt worked great. I'm
still curious why what I was doing didn't work. Everything I can see
indicates it should work.
In [11]: tfc_dtype
Out[11]: dtype([('nps', 'u8'), ('t', 'f8'), ('e', 'f8'), ('fom', 'f8')])
Maybe specify which scipy superpack. Your issue was probably because the
superpack you installed was not meant to be used with Python 2.7.
-=- Olivier
2011/8/2 Thomas Markovich thomasmarkov...@gmail.com
Oh okay, that's unfortunate but I guess not unexpected. Regardless, thank
you so much for
On 8/2/11 10:14 AM, Thomas Markovich wrote:
Just to recap, the issue appears to stem from using the scipy superpack
with python 2.7 from python.org http://python.org. This was solved by
using the apple python along with the scipy superpack.
This sure sounds like a bug in the sciy superpack
On 2 Aug 2011, at 19:15, Christopher Barker wrote:
In [32]: s = numpy.array(a, dtype=tfc_dtype)
---
TypeError Traceback (most recent
call last)
/Users/cbarker/ipython console in
duplicate column in dtype?
I just consolidated some of the columns and the error went away... none had
duplicate field names... hence the question.
On Aug 1, 2011, at 11:18 PM, Pierre GM wrote:
On Aug 2, 2011, at 1:20 AM, Craig Yoshioka wrote:
Is there a limit to the number of fields a
On Tue, Aug 2, 2011 at 3:19 PM, Craig Yoshioka crai...@me.com wrote:
duplicate column in dtype?
Duplicate field names given.? Can you post code to replicate?
I just consolidated some of the columns and the error went away... none had
duplicate field names... hence the question.
I don't
yup, duplicate field names given. I didn't commit the non-working version and
I didn't want to mess up my working code so I tried duplicating the dtype in a
new file and couldn't recreate the error. I suppose the answer to my question
is, there is no limit to the number of records? Must
On Tue, Aug 2, 2011 at 4:09 PM, Craig Yoshioka crai...@me.com wrote:
yup, duplicate field names given. I didn't commit the non-working version
and I didn't want to mess up my working code so I tried duplicating the dtype
in a new file and couldn't recreate the error. I suppose the answer
On Tue, Aug 2, 2011 at 11:15 AM, Christopher Barker
chris.bar...@noaa.gov wrote:
On 8/2/11 8:38 AM, Jeremy Conlin wrote:
Thanks, Brett. Using StringIO and numpy.loadtxt worked great. I'm
still curious why what I was doing didn't work. Everything I can see
indicates it should work.
In [11]:
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