I just dowloads the latest numpy's svn version and tried to build its
documentation with
$ make latex
on the doc subdirectory, and got the following error message:
writing... Sphinx error:
too many nesting section levels for LaTeX, at heading:
numpy.ma.MaskedArray.__lt__
make: *** [latex]
Wed, 04 Feb 2009 11:04:25 +0900, David Cournapeau wrote:
[clip]
Talking about the things I have worked on for 1.3, I did not have the
time to finish everything. The things which I would like to be done
before a 1.3.0 release are:
- fix formatting issues that Pauli and me worked on (for locale
Brian Granger wrote:
The releases are on Pypi for quite some time. I converted the repo to
git and put it on github, but I have not really worked on numscons for
several months now for lack of time ( and because numscons it mostly
done and the main limitations of numscons are not fixable
2009/2/4 Nadav Horesh nad...@visionsense.com:
I just dowloads the latest numpy's svn version and tried to build its
documentation with
$ make latex
on the doc subdirectory, and got the following error message:
writing... Sphinx error:
too many nesting section levels for LaTeX, at
Scott Sinclair wrote:
There are a bunch of documentation patches that should to be reviewed
and applied to SVN before the release (especially those marked 'Needs
review' or better).
http://docs.scipy.org/numpy/patch/
In my mind, documentations fixes are much less important than code, not
On Feb 4, 2009, at 11:00 AM, josef.p...@gmail.com wrote:
I just had a hard to find bug in my program. poly1d treats numpy
scalars differently than python numbers when left or right
multiplication is used.
Essentially, if the first term is the numpy scalar, multiplied by a
polynomial, then
Hi all
We're about to release the first public beta of Resolver One, our
Pythonic spreadsheet, with (rather basic) NumPy integration. It requires
32-bit Windows and .NET 2.0SP1 to run, so it may not be appropriate for
everyone, but -- if anyone is interested in playing with it -- it would
be
On Wed, Feb 4, 2009 at 11:19 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 4, 2009, at 11:00 AM, josef.p...@gmail.com wrote:
I just had a hard to find bug in my program. poly1d treats numpy
scalars differently than python numbers when left or right
multiplication is used.
Essentially,
Scott Sinclair scott.sinclair...@gmail.com wrote:
2009/2/4 David Cournapeau courn...@gmail.com:
On Tue, Feb 3, 2009 at 11:49 PM, Pierre GM pgmdevl...@gmail.com wrote:
All,
When can we expect numpy 1.3 to be released ?
I think official 2.6 support (with binaries for the platforms where we
2009/2/4 David Cournapeau da...@ar.media.kyoto-u.ac.jp:
Scott Sinclair wrote:
There are a bunch of documentation patches that should to be reviewed
and applied to SVN before the release (especially those marked 'Needs
review' or better).
http://docs.scipy.org/numpy/patch/
In my mind,
Hi Ondrej,
To get 2to3 to run without warnings, the following files require minor changes:
- numpy/distutils/fcompiler/intel.py
- numpy/distutils/misc_util.py
- numpy/distutils/command/build_src.py
- numpy/f2py/crackfortran.py
- numpy/lib/function_base.py
- numpy/linalg/lapack_lite/make_lite.py
hi, i am using genfromtxt, with a dtype like this:
[('seqid', '|S24'), ('source', '|S16'), ('type', '|S16'), ('start',
'i4'), ('end', 'i4'), ('score', 'f8'), ('strand', '|S1'), ('phase',
'i4'), ('attrs', '|O4')]
where i'm having problems with the attrs column which i'd like to be a
dict. i can
On Wed, Feb 4, 2009 at 10:02 AM, James Watson watson@gmail.com wrote:
Hi Ondrej,
To get 2to3 to run without warnings, the following files require minor
changes:
- numpy/distutils/fcompiler/intel.py
- numpy/distutils/misc_util.py
- numpy/distutils/command/build_src.py
-
On Wed, Feb 4, 2009 at 10:01 AM, j...@physics.ucf.edu wrote:
Scott Sinclair scott.sinclair...@gmail.com wrote:
2009/2/4 David Cournapeau courn...@gmail.com:
On Tue, Feb 3, 2009 at 11:49 PM, Pierre GM pgmdevl...@gmail.com
wrote:
All,
When can we expect numpy 1.3 to be released ?
I
Charles R Harris wrote:
On Wed, Feb 4, 2009 at 10:02 AM, James Watson watson@gmail.com
mailto:watson@gmail.com wrote:
Hi Ondrej,
To get 2to3 to run without warnings, the following files require
minor changes:
- numpy/distutils/fcompiler/intel.py
-
Hi,
I just updated to the latest SVN but I get a failure when running the
tests due to missing dateutil.parser. Should this module exist in Numpy
or just a inappropriate test?
Bruce
numpy.test()
Running unit tests for numpy
NumPy version 1.3.0.dev6338
NumPy is installed in
On Wed, Feb 4, 2009 at 14:40, Bruce Southey bsout...@gmail.com wrote:
Hi,
I just updated to the latest SVN but I get a failure when running the
tests due to missing dateutil.parser. Should this module exist in Numpy
or just a inappropriate test?
It's a bad test.
--
Robert Kern
I have come
On Wed, Feb 4, 2009 at 14:54, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 4, 2009, at 3:40 PM, Bruce Southey wrote:
Hi,
I just updated to the latest SVN but I get a failure when running the
tests due to missing dateutil.parser. Should this module exist in
Numpy
or just a inappropriate
Bit of a newb question I suspect...
I have a matrix and a vector which has the same number of elements as the
matrix has rows. I want to multiply each element in a row in the matrix by
the corresponding element in the vector. I can obviously do this with a
loop, but am guessing there is a more
Hello,
I'm having an issue with 'array' dtypes; if I do this:
mydtype = numpy.dtype(('i', (4,)))
arr = numpy.empty((100,), dtype=mydtype)
then the array datatype shape is absorbed into the shape of the
array. This simplifies indexing, but is really annoying as it means
that the dtype doesn't
On Feb 4, 2009, at 3:56 PM, Robert Kern wrote:
No, rewrite the test to not use external libraries, please. Test the
functionality without needing dateutils.
OK then, should be fixed in r6340.
___
Numpy-discussion mailing list
On Wed, Feb 4, 2009 at 16:12, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 4, 2009, at 3:56 PM, Robert Kern wrote:
No, rewrite the test to not use external libraries, please. Test the
functionality without needing dateutils.
OK then, should be fixed in r6340.
Thank you!
--
Robert Kern
I
Simon Palmer wrote:
I have a matrix and a vector which has the same number of elements as the
matrix has rows. I want to multiply each element in a row in the matrix by
the corresponding element in the vector.
M = np.arange(6).reshape((2,3))
M
array([[0, 1, 2],
[3, 4, 5]])
v =
All,
I'm a tad puzzled by the following behavior (I'm trying to correct a
bug in genfromtxt):
I'm creating an empty structured ndarray, using np.object as dtype.
a = np.empty(1,dtype=[('',np.object)])
array([(None,)],
dtype=[('f0', '|O4')])
Now, I'd like to rename the field:
On Wed, Feb 4, 2009 at 2:50 PM, Pierre GM pgmdevl...@gmail.com wrote:
All,
I'm a tad puzzled by the following behavior (I'm trying to correct a
bug in genfromtxt):
I'm creating an empty structured ndarray, using np.object as dtype.
a = np.empty(1,dtype=[('',np.object)])
array([(None,)],
On Thu, Feb 5, 2009 at 2:48 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Wed, Feb 4, 2009 at 10:01 AM, j...@physics.ucf.edu wrote:
Scott Sinclair scott.sinclair...@gmail.com wrote:
2009/2/4 David Cournapeau courn...@gmail.com:
On Tue, Feb 3, 2009 at 11:49 PM, Pierre GM
OK, Brent, try r6341.
I fixed genfromtxt for cases like yours (explicit dtype involving a
np.object).
Note that the fix won't work if the dtype is nested and involves
np.objects (as we would hit the pb of renaming fields we observed...).
Let me know how it goes.
P.
On Feb 4, 2009, at 4:03 PM,
On Wed, Feb 4, 2009 at 8:51 PM, Pierre GM pgmdevl...@gmail.com wrote:
OK, Brent, try r6341.
I fixed genfromtxt for cases like yours (explicit dtype involving a
np.object).
Note that the fix won't work if the dtype is nested and involves
np.objects (as we would hit the pb of renaming fields we
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