Fri, 25 Sep 2009 12:29:30 -0400, Michael Droettboom wrote:
Anybody know why I might be seeing this?
[clip]
Exception occurred:[ 0%] reference/arrays.classeslass
File /home/mdroe/usr/lib/python2.5/site-packages/docutils/nodes.py,
line 471, in __getitem__
return self.attributes[key]
Hello list,
I just thought I'd point out a difference between 'import numarray'
and 'import numpy.numarray' . Consider the following
In [1]: from numpy.numarray import *
In [2]: d = array((1,2,3,4))
In [3]: f = reshape(d,(2,2))
In [4]: print f
[[1 2]
[3 4]]
In [5]: f.transpose()
Out[5]:
Has anyone attempted a new array type in cython? Any hints?
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Hi all,
glumpy is a fast OpenGL visualization tool for numpy arrays coded on
top of pyglet (http://www.pyglet.org/). The package contains many
demos showing basic usage as well as integration with matplotlib. As a
reference, the animation script available from matplotlib distribution
On 09/28/2009 03:15 AM, Pauli Virtanen wrote:
Mon, 28 Sep 2009 10:07:47 +0200, Michael.Walker wrote:
[clip]
In [7]: f = f.transpose()
In [8]: print f
[[1 3]
[2 4]]
as expected. I mention this because I think that it is worth knowing
having lost a LOT of time to it. Is it worth
Mon, 28 Sep 2009 09:29:30 -0500, Bruce Southey wrote:
[clip]
This is not a bug! This specific difference between numpy and numarray
is documented on the 'converting from numarray' page:
http://www.scipy.org/Converting_from_numarray
Oh. I completely missed that page. Now, it should just be
On Mon, Sep 28, 2009 at 06:23, Neal Becker ndbeck...@gmail.com wrote:
Has anyone attempted a new array type in cython? Any hints?
Are you having problems?
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt
Robert Kern wrote:
On Mon, Sep 28, 2009 at 06:23, Neal Becker ndbeck...@gmail.com wrote:
Has anyone attempted a new array type in cython? Any hints?
Are you having problems?
No, haven't tried using cython for this yet. Wondering if there are any
examples.
So far my experiences have
On Mon, Sep 28, 2009 at 10:36, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Mon, Sep 28, 2009 at 06:23, Neal Becker ndbeck...@gmail.com wrote:
Has anyone attempted a new array type in cython? Any hints?
Are you having problems?
No, haven't tried using cython for this yet.
Well, I've been starting working on a pyglet backend but it is
currently painfully slow mainly because I do not know enough of the
matplotlib internal machinery to really benefit from it. In the case
of glumpy, the use of texture object for representing 2d arrays is a
real speed boost
David Cournapeau wrote:
However, is there a more direct way of directly transforming bytes
into a np.int32 type without the intermediate 'struct.unpack' step?
Assuming you have an array of bytes, you could just use view:
# x is an array of bytes, whose length is a multiple of 4
Skipper Seabold wrote:
FWIW, I have a script that creates and savez arrays from several text
files in total about 1.5 GB of text.
without the incrementing in genfromtxt
Run time: 122.043943 seconds
with the incrementing in genfromtxt
Run time: 131.698873 seconds
If we just want to
On Mon, Sep 28, 2009 at 12:41 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
Skipper Seabold wrote:
FWIW, I have a script that creates and savez arrays from several text
files in total about 1.5 GB of text.
without the incrementing in genfromtxt
Run time: 122.043943 seconds
with the
This is good. I have been looking forward to seeing something like
this for a while.
I'd be cool however, to dump a *real* python function into a vertex
shader and let it do real mesh deformations. I know, it would be hard
to validate if it wasn;t doing some crazy stuff. Of course, with new
(ie
On Sep 28, 2009, at 12:51 PM, Skipper Seabold wrote:
This was probably due to the way that I timed it, honestly. I only
did it once. The only differences I made for that part were in the
first post of the thread. Two incremented scalars for line numbers
and column numbers and a try/except
On Mon, Sep 28, 2009 at 1:36 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Sep 28, 2009, at 12:51 PM, Skipper Seabold wrote:
This was probably due to the way that I timed it, honestly. I only
did it once. The only differences I made for that part were in the
first post of the thread. Two
On Mon, Sep 28, 2009 at 10:47 AM, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Mon, Sep 28, 2009 at 10:36, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Mon, Sep 28, 2009 at 06:23, Neal Becker ndbeck...@gmail.com
wrote:
Has anyone attempted a new array
I use the following command to build numpy-1.3.0rc2. But it seems not
able to find the appropriate library files. Can somebody let me know
how to make it use the correct ones?
#command
export LD_LBRARY_PATH=
export CPPFLAGS=-I$HOME/utility/linux/opt/Python-2.6.2/include/python2.6
export
On Mon, Sep 28, 2009 at 14:31, Peng Yu pengyu...@gmail.com wrote:
I use the following command to build numpy-1.3.0rc2. But it seems not
able to find the appropriate library files. Can somebody let me know
how to make it use the correct ones?
#command
export LD_LBRARY_PATH=
export
I am trying to collapse two dimensions of a 3-D array, using reshape:
(Pdb) dims = np.shape(trace)
(Pdb) dims
Out[2]: (1000, 4, 3)
(Pdb) newdims = (dims[0], sum(dims[1:]))
(Pdb) newdims
Out[2]: (1000, 7)
However, reshape seems to think I am missing something:
(Pdb) np.reshape(trace, newdims)
Because poly1d exports the __array__ interface, a design error IMHO that
makes it play badly with the prospective chebyshev module. For example the
following should convert from a Chebyshev series to a power series
chebval([1,0,0], poly1d(1,0))
and it does if I make sure to pass the poly1d as
On 2009-09-28 15:39 , Chris wrote:
I am trying to collapse two dimensions of a 3-D array, using reshape:
(Pdb) dims = np.shape(trace)
(Pdb) dims
Out[2]: (1000, 4, 3)
(Pdb) newdims = (dims[0], sum(dims[1:]))
(Pdb) newdims
Out[2]: (1000, 7)
However, reshape seems to think I am missing
On Mon, Sep 28, 2009 at 15:46, Charles R Harris
charlesr.har...@gmail.com wrote:
The more basic problem here is making poly1d look like an array, which it
isn't. The array bit is an implementation detail and would be private in
C++. with an as_array method to retrieve the details if wanted.
Dear All,
I'm facing a bog problem in following . the code snippet is
as follows
% Compute the area
indicator###
for kT in range(leftbound,rightbound):
# Here the left bound and rightbound both are indexing array is
On Mon, Sep 28, 2009 at 2:59 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Sep 28, 2009 at 15:46, Charles R Harris
charlesr.har...@gmail.com wrote:
The more basic problem here is making poly1d look like an array, which it
isn't. The array bit is an implementation detail and would be
On Mon, Sep 28, 2009 at 2:53 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Sep 28, 2009 at 14:31, Peng Yu pengyu...@gmail.com wrote:
I use the following command to build numpy-1.3.0rc2. But it seems not
able to find the appropriate library files. Can somebody let me know
how to make it
On Mon, Sep 28, 2009 at 16:27, Peng Yu pengyu...@gmail.com wrote:
On Mon, Sep 28, 2009 at 2:53 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Sep 28, 2009 at 14:31, Peng Yu pengyu...@gmail.com wrote:
I use the following command to build numpy-1.3.0rc2. But it seems not
able to find the
On Mon, Sep 28, 2009 at 16:40, Peng Yu pengyu...@gmail.com wrote:
I attached the script that I run for build and the build output. I
think that setup.py doesn't use the correct python library. But I'm
not sure why. Would you please help me figure out what the problem is?
Setting $LDFLAGS to be
Hi,
Suppose I have a set of x,y,c data (something useful for
matplotlib.pyplot.plot() ). Generally, this data is not rectangular at
all. Does there exist a numpy function (or set of functions) which will
take this data and construct the smallest two-dimensional arrays X,Y,C (
suitable for
On Mon, Sep 28, 2009 at 19:35, Peng Yu pengyu...@gmail.com wrote:
On Mon, Sep 28, 2009 at 4:44 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Sep 28, 2009 at 16:40, Peng Yu pengyu...@gmail.com wrote:
I attached the script that I run for build and the build output. I
think that setup.py
On Mon, Sep 28, 2009 at 4:48 PM, josef.p...@gmail.com wrote:
On Mon, Sep 28, 2009 at 7:19 PM, jah jah.mailingl...@gmail.com wrote:
Hi,
Suppose I have a set of x,y,c data (something useful for
matplotlib.pyplot.plot() ). Generally, this data is not rectangular at
all. Does there exist
On Mon, Sep 28, 2009 at 19:45, jah jah.mailingl...@gmail.com wrote:
Here is the desired use case: I have a set of x,y,c values that I could
pass into matplotlib's scatter() or hexbin(). I'd like to take this same
set of points and transform them so that I can pass them into matplotlib's
32 matches
Mail list logo
