What version of gfortran are you using (i.e. exactly which binary did
you download)?
GNU Fortran (GCC) 4.4.0 20080603 (experimental) [trunk revision 136333]
Is this a write to standard output write (*,*) szText ?
yes, it is.
I forgot to say that it also works with pydev in Eclipse but I'm
Hello,
I'm trying to write a small library of differential geometry, and I
have some trouble subclassing ndarray.
I'd like an HomogeneousMatrix class that subclasse ndarray and
overloads some methods, such as inv().
Here is my first try, the inv() function and the inv_v1() method work
as
Le mercredi 03 décembre 2008, Sébastien Barthélemy a écrit :
Hello,
Hi Sebastien!
I'm trying to write a small library of differential geometry, and I
have some trouble subclassing ndarray.
I'd like an HomogeneousMatrix class that subclasse ndarray and
overloads some methods, such as inv().
2008/12/3 Kevin Jacobs [EMAIL PROTECTED] [EMAIL PROTECTED]:
On Wed, Dec 3, 2008 at 9:19 AM, Sébastien Barthélemy [EMAIL PROTECTED]
wrote:
def inv_v1(self):
self[0:4,0:4] = htr.inv(self)
def inv_v2(self):
data = htr.inv(self)
self = HomogeneousMatrix(data)
def
2008/12/3 Fabrice Silva [EMAIL PROTECTED]:
Le mercredi 03 décembre 2008, Sébastien Barthélemy a écrit :
Hello,
Hi Sebastien!
Hello Fabrice
There is something I missed: what is htr? I guess htr.inv is the inv
function defined before the class.
yes, I cut-n-pasted the function definition
Pierre GM wrote:
I think that treating an explicitly-passed-in ' ' delimiter as
identical to 'no delimiter' is a bad idea. If I say that ' ' is the
delimiter, or '\t' is the delimiter, this should be treated *just*
like ',' being the delimiter, where the expected output is:
['1', '2', '3', '4',
If I know my data is already clean
and is handled nicely by the
old loadtxt, will I be able to turn
off and the special handling in
order to retain the old load speed?
Alan Isaac
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
Pierre GM wrote:
I can try, but in that case, please write me a unittest, so that I
have a clear and unambiguous idea of what you expect.
fair enough, though I'm not sure when I'll have time to do it.
I do wonder if anyone else thinks it would be useful to have multiple
delimiters as an
On Dec 3, 2008, at 12:48 PM, Christopher Barker wrote:
Pierre GM wrote:
I can try, but in that case, please write me a unittest, so that I
have a clear and unambiguous idea of what you expect.
fair enough, though I'm not sure when I'll have time to do it.
Oh, don;t worry, nothing too
On Dec 3, 2008, at 12:32 PM, Alan G Isaac wrote:
If I know my data is already clean
and is handled nicely by the
old loadtxt, will I be able to turn
off and the special handling in
order to retain the old load speed?
Hopefully. I'm looking for the best way to do it. Do you have an
by the way, should this work:
io.loadtxt('junk.dat', delimiter=' ')
for more than one space between numbers, like:
1 2 3 4 5
6 7 8 9 10
I get:
io.loadtxt('junk.dat', delimiter=' ')
Traceback (most recent call last):
File stdin, line 1, in module
File
Pierre GM wrote:
Oh, don;t worry, nothing too fancy: give me a couple lines of input
data and a line with what you expect.
I just went and looked at the existing tests, and you're right, it's
very easy -- my first foray into the new nose tests -- very nice!
specify, say ',' as the
Alan G Isaac wrote:
If I know my data is already clean
and is handled nicely by the
old loadtxt, will I be able to turn
off and the special handling in
order to retain the old load speed?
what I'd like to see is a version of loadtxt built on a slightly
enhanced fromfile() -- that would be
On Dec 3, 2008, at 1:00 PM, Christopher Barker wrote:
by the way, should this work:
io.loadtxt('junk.dat', delimiter=' ')
for more than one space between numbers, like:
1 2 3 4 5
6 7 8 9 10
On the version I'm working on, both delimiter='' and delimiter=None
(default) would
Alan G Isaac wrote:
If I know my data is already clean
and is handled nicely by the
old loadtxt, will I be able to turn
off and the special handling in
order to retain the old load speed?
Alan Isaac
Hi all,
that's going in the same direction I was thinking about.
When I thought about
Pierre GM wrote:
On Dec 3, 2008, at 1:00 PM, Christopher Barker wrote:
for more than one space between numbers, like:
1 2 3 4 5
6 7 8 9 10
On the version I'm working on, both delimiter='' and delimiter=None
(default) would give you the expected output.
so empty string and
Manuel Metz wrote:
Alan G Isaac wrote:
If I know my data is already clean
and is handled nicely by the
old loadtxt, will I be able to turn
off and the special handling in
order to retain the old load speed?
Alan Isaac
Hi all,
that's going in the same direction I was thinking about.
Manuel,
Looks nice, I gonna try to see how I can incorporate yours. Note that
returning np.nan by default will not work w/ Python 2.6 if you want an
int...
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
Hi
I want to apply a function (myfunc which takes and returns a scalar) to each
element in a multi-dimensioned array (data):
I can do this:
newdata = numpy.array([myfunc(d) for d in data.flat]).reshape(data.shape)
But I'm wondering if there's a faster more numpy way. I've looked at the
Elfnor wrote:
Hi
I want to apply a function (myfunc which takes and returns a scalar) to each
element in a multi-dimensioned array (data):
I can do this:
newdata = numpy.array([myfunc(d) for d in data.flat]).reshape(data.shape)
But I'm wondering if there's a faster more numpy way. I've
On Sun, Nov 30, 2008 at 3:02 PM, David Cournapeau
[EMAIL PROTECTED] wrote:
No at the moment, but you can easily decompress the .exe content to get
the internal .exe (which are straight installers built by python
setup.py setup.py bdist_wininst). It should be possible to force an
architecture
21 matches
Mail list logo
