On 12/2/2008 7:21 AM Joris De Ridder apparently wrote:
As a historical note, we used to have scipy.io.read_array which at the
time was considered by Travis too slow and too grandiose to be put
in Numpy. As a consequence, numpy.loadtxt() was created which was
simple and fast. Now it
On 12/2/2008 8:12 AM Alan G Isaac apparently wrote:
I hope this consideration remains prominent
in this thread. Is the disappearance or
read_array the reason for this change?
What happened to it?
Apologies; it is only deprecated, not gone.
Alan Isaac
Pierre GM wrote:
Eric,
That's quite a handful you have with this dtype...
Here is a simplified example of how I made it:
dt = np.dtype({'names': ['a','b'], 'formats': ['f', 'f'], 'titles':
['aaa', 'bbb']})
From page 132 in the numpy book:
The fields dictionary is indexed by keys that are
Eric,
That's quite a handful you have with this dtype...
So yes, the fix I gave works with nested dtypes and flexible dtypes
with a simple name (string, not tuple). I'm a bit surprised with
numpy, here.
Consider:
dt.names
('P', 'D', 'T', 'w', 'S', 'sigtheta', 'theta')
So we lose the
Hi all,
I compile the followinq code using f2py -c --fcompiler=gnu95
--compiler=mingw32 -m hello
subroutine AfficheMessage(szText)
character szText*100
write (*,*) szText
return
end
Using python console :
import hello
hello.affichemessage(
Hello)
works fine !
I do
You can use 2D convolution routines either in scipy.signal or
numpy.numarray.nd_image
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם frank wang
נשלח: ג 02-דצמבר-08 03:38
אל: numpy-discussion@scipy.org
נושא: [Numpy-discussion] fast way to convolve a 2d array with 1d filter
Hi,
I
On 1 Dec 2008, at 21:47 , Stéfan van der Walt wrote:
Hi Pierre
2008/12/1 Pierre GM [EMAIL PROTECTED]:
* `genloadtxt` is the base function that makes all the work. It
outputs 2 arrays, one for the data (missing values being substituted
by the appropriate default) and one for the mask. It
On Dec 2, 2008, at 4:26 AM, Eric Firing wrote:
From page 132 in the numpy book:
The fields dictionary is indexed by keys that are the names of the
fields. Each entry in the dictionary is a tuple fully describing the
field: (dtype, offset[,title]). If present, the optional title can
On Tue, Dec 2, 2008 at 9:26 AM, Christophe Chappet
[EMAIL PROTECTED] wrote:
Hi all,
I compile the followinq code using f2py -c --fcompiler=gnu95
--compiler=mingw32 -m hello
subroutine AfficheMessage(szText)
character szText*100
write (*,*) szText
return
end
Pierre GM wrote:
On Dec 2, 2008, at 1:59 AM, Eric Firing wrote:
Pierre,
Your change fixed masked_all for the example I gave, but I think it
introduced a new failure in zeros:
Eric,
Would you mind giving r6131 a try ? It's rather ugly but looks like it
works...
So far, so good.
Hi Pierre,
I've tested the new loadtxt briefly. Looks good, except that there's a
minor bug when trying to use a specific white-space delimiter (e.g.
\t) while still allowing other white-space to be allowed in fields
(e.g. spaces).
Specifically, on line 115 in LineSplitter, we have:
Zachary Pincus wrote:
Specifically, on line 115 in LineSplitter, we have:
self.delimiter = delimiter.strip() or None
so if I pass in, say, '\t' as the delimiter, self.delimiter gets set
to None, which then causes the default behavior of any-whitespace-is-
delimiter to be used.
On Tue, Dec 2, 2008 at 08:26, Christophe Chappet
[EMAIL PROTECTED] wrote:
Hi all,
I compile the followinq code using f2py -c --fcompiler=gnu95
--compiler=mingw32 -m hello
subroutine AfficheMessage(szText)
character szText*100
write (*,*) szText
return
end
Pierre GM wrote:
Well, looks like the attachment is too big, so here's the
implementation. The tests will come in another message.
A couple of quick nitpicks:
1) On line 186 (in the NameValidator class), you use
excludelist.append() to append a list to the end of a list. I think you
meant
Just FYI, the Windows installer for 1.0 is now posted at
h5py.googlecode.com after undergoing some final testing.
Thanks for trying 0.3.0... too bad about matlab.
Andrew
On Mon, 2008-12-01 at 21:53 -0500, [EMAIL PROTECTED] wrote:
Requires
* UNIX-like platform (Linux or Mac OS-X);
On Dec 2, 2008, at 3:12 PM, Ryan May wrote:
Pierre GM wrote:
Well, looks like the attachment is too big, so here's the
implementation. The tests will come in another message.
A couple of quick nitpicks:
1) On line 186 (in the NameValidator class), you use
excludelist.append() to append a
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',
Chris,
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.
ANFSCD, have you tried the missing_values option ?
On Dec 2, 2008, at 5:36 PM, Christopher Barker wrote:
Pierre GM wrote:
I think that treating an
If it's a feature people want, I certainly wouldn't mind looking in to
it. I believe PyTables supports bzip2 as well. Adding filters to HDF5
takes a bit of work but is well supported by the library.
Andrew
On Tue, 2008-12-02 at 22:53 +0100, Stephen Simmons wrote:
Do you have any plans to add
After some discussion on the Cython lists I thought I would try my hand at
writing some Cython accelerators for empty and zeros. This will involve using
PyArray_EMPTY, I have a simple prototype I would like to get working, but
currently it segfaults. Any tips on what I might be missing?
import
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