Hi Emma
On 19 August 2010 23:07, Emma Willemsma emma.willem...@morgansolar.com wrote:
I am working with structured arrays to store experimental data. I'm using
titles to store information about my fields, in this case the units of
measure. When I call numpy.lib.io.flatten_dtype() on my dtype,
Hello David,
Thanks for your kind reply-I did do ldd and got the following
[...@papageno fft]$ ldd fftpack_lite.so
linux-gate.so.1 = (0x0060d000)
libimf.so = /opt/intel/fc/9.1/lib/libimf.so (0x0025e000)
libm.so.6 = /lib/libm.so.6 (0x0011)
libgcc_s.so.1 = /lib/libgcc_s.so.1 (0x00bad000)
I have attached a short script and sample text file that demonstrate the
problem. The dtype I'm using in the example is:
dtype2 =
numpy.dtype([((Amps,Current),f8),((Volts,Voltage),f8),((Watts,Power),f8)])
When I run the code as-is, I get the ValueError. If I run it with the monkey
patch, it runs
On Aug 23, 2010, at 10:50 AM, Emma Willemsma wrote:
I have attached a short script and sample text file that demonstrate the
problem. The dtype I'm using in the example is:
dtype2 =
numpy.dtype([((Amps,Current),f8),((Volts,Voltage),f8),((Watts,Power),f8)])
When I run the code as-is, I
On Mon, Aug 23, 2010 at 9:17 AM, martin djokovic
martin.djoko...@gmail.comwrote:
Hello David,
Thanks for your kind reply-I did do ldd and got the following
[...@papageno fft]$ ldd fftpack_lite.so
linux-gate.so.1 = (0x0060d000)
libimf.so = /opt/intel/fc/9.1/lib/libimf.so (0x0025e000)
Thank you Pierre, I have opened the ticket as requested.
On Mon, Aug 23, 2010 at 11:09 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Aug 23, 2010, at 10:50 AM, Emma Willemsma wrote:
I have attached a short script and sample text file that demonstrate the
problem. The dtype I'm using in the
On Aug 22, 2010, at 4:36 PM, Nathaniel Smith wrote:
I'm experimenting with a user-defined enumeration dtype -- where the
underlying array holds a set of integers, but they (mostly) appear to
the user as strings. (This would be potentially useful for
representing categorical data, modeling
hi all,
we just noticed the following weird thing:
$ python
Python 2.6.6rc2 (r266rc2:84114, Aug 18 2010, 07:33:44)
[GCC 4.4.5 20100816 (prerelease)] on linux2
Type help, copyright, credits or license for more information.
import numpy
numpy.version.version
'2.0.0.dev8469'
On Mon, Aug 23, 2010 at 06:50:09PM +0200, Tiziano Zito wrote:
hi all,
we just noticed the following weird thing:
$ python
Python 2.6.6rc2 (r266rc2:84114, Aug 18 2010, 07:33:44)
[GCC 4.4.5 20100816 (prerelease)] on linux2
Type help, copyright, credits or license for more information.
Hi Ben,
Thanks but thats not working-I am already root-I have tried to give in
detail what I am doing
Used steps
I downloaded numpy-all of the following and none worked-also I have a
FEDORA CORE 6 with Python 2.4 in my machine.
On 08/23/2010 12:06 PM, martin djokovic wrote:
Hi Ben,
Thanks but thats not working-I am already root-I have tried to give in
detail what I am doing
Used steps
I downloaded numpy-all of the following and none worked-also I have a
FEDORA CORE 6
I tried to find all the numpy locations and removed them then tried
yum install numpy
After trying for s few minutes...got the following
Error: Cannot find a valid baseurl for repo: extras
If I install the other way using the tar file ...I still get
import numpy
Traceback
I tried to find all the numpy locations and removed them then tried
yum install numpy
After trying for s few minutes...got the following
Error: Cannot find a valid baseurl for repo: extras
If I install the other way using the tar file ...I still get
import numpy
Traceback
On Mon, Aug 23, 2010 at 2:37 PM, martin djokovic
martin.djoko...@gmail.comwrote:
I tried to find all the numpy locations and removed them then tried
yum install numpy
After trying for s few minutes...got the following
Error: Cannot find a valid baseurl for repo: extras
On 08/23/2010 02:37 PM, martin djokovic wrote:
I tried to find all the numpy locations and removed them then tried
yum install numpy
After trying for s few minutes...got the following
Error: Cannot find a valid baseurl for repo: extras
If I install the other way using the tar
2010/8/23 martin djokovic martin.djoko...@gmail.com:
/usr/local/lib/python2.4/site-packages/numpy/fft/fftpack_lite.so: undefined
symbol: vmldCos2
To me this looks familiar ... I ran into this problem usually when
having Python compiled with another compiler than the library. In
your case, it's
Hi all,
I'm curious as to the status of the Github migration and if there is anything I
can do to help. I have a couple of weeks right now and I would love to see us
make the transition of both NumPy and SciPy to GIT.
On a slightly related note, it would really help the numpy-refactor
First of all sorry about not posting as a reply in the above thread-for some
reason it does not seem to work
So have to post as a new question-sorry about that.
Ok so got a tar file installed as root, then did
LOCATE NUMPY
All most all the files found with numpy were in
On 23 August 2010 22:30, Travis Oliphant oliph...@enthought.com wrote:
I'm curious as to the status of the Github migration and if there is anything
I can do to help. I have a couple of weeks right now and I would love to see
us make the transition of both NumPy and SciPy to GIT.
The test
Mon, 23 Aug 2010 15:30:19 -0500, Travis Oliphant wrote:
I'm curious as to the status of the Github migration and if there is
anything I can do to help. I have a couple of weeks right now and I
would love to see us make the transition of both NumPy and SciPy to GIT.
I think the more or less
On Thu, Jul 29, 2010 at 1:06 PM, Keith Goodman kwgood...@gmail.com wrote:
snip
Going forward we would like to:
- Move the repo from Fernando's personal github account to a datarray
account. But we do not know a way to move a github repo along with all
its meta data (fork queue, issue tracker
On Mon, Aug 23, 2010 at 2:17 PM, Skipper Seabold jsseab...@gmail.com wrote:
Is Fernando's github still the most up to date location for datarray?
Yes.
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On 23 August 2010 17:09, Pierre GM pgmdevl...@gmail.com wrote:
On the other hand, if I remove the titles from the dtype, the code works
with or without the monkey patch. Without the titles, the dtype looks like:
dtype1 = numpy.dtype([(Current,f8),(Voltage,f8),(Power,f8)])
Thanks very much
Mon, 23 Aug 2010 23:31:14 +0200, Stéfan van der Walt wrote:
[clip]
Erk. What's the quickest route to go: compare the actual patches, or
bring a tree up to date for each revision and compute some sort of
working-copy checksum?
Working-copy checksumming is probably the easiest and most robust
I have some new typical data that I'm trying out DataArray with, and
I'm trying to get my head around it again. Is this the best way to
hold data organized by, say, household and time (week number). I
guess what I'm asking is do I understand the concept of axes and ticks
correctly? It seems to
On Mon, Aug 23, 2010 at 3:28 PM, Skipper Seabold jsseab...@gmail.com wrote:
hhold_ax = 'households', np.unique(ddd[:,0]).tolist()
snip
As for the bug report. If I don't tolist() the ticks above there is
an error. I can file a bug report if it's warranted.
If you add it to the tracker
On Mon, Aug 23, 2010 at 2:19 PM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, Aug 23, 2010 at 2:17 PM, Skipper Seabold jsseab...@gmail.com wrote:
Is Fernando's github still the most up to date location for datarray?
Yes.
We'd love to move it out of my page to a numpy-owned repo, so once
On Mon, Aug 23, 2010 at 2:30 PM, Travis Oliphant oliph...@enthought.comwrote:
Hi all,
I'm curious as to the status of the Github migration and if there is
anything I can do to help. I have a couple of weeks right now and I would
love to see us make the transition of both NumPy and SciPy to
On Mon, Aug 23, 2010 at 3:57 PM, martin djokovic
martin.djoko...@gmail.com wrote:
First of all sorry about not posting as a reply in the above thread-for some
reason it does not seem to work
So have to post as a new question-sorry about that.
Ok so got a tar file installed as root, then did
Hi All,
I've gone ahead and implemented the Laguerre and Hermite (H and He)
polynomials, but at this point I'm loath to add them to numpy as the
polynomial space is getting crowded. Scipy looks like a better spot to put
these but there is already the orthogonal module there. OTOH, the orthogonal
On Mon, Aug 23, 2010 at 9:22 PM, Bruce Southey bsout...@gmail.com wrote:
On Mon, Aug 23, 2010 at 3:57 PM, martin djokovic
martin.djoko...@gmail.com wrote:
First of all sorry about not posting as a reply in the above thread-for
some
reason it does not seem to work
So have to post as a
On 24 August 2010 03:17, Fernando Perez fperez@gmail.com wrote:
We'd love to move it out of my page to a numpy-owned repo, so once
that dust settles I'm more than happy to ask github for a move.
I guess we can just create the new repo ourselves, or does GitHub
track some other meta-data
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