On Mon, Sep 28, 2009 at 19:45, jah 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
> contour() function. Per
On Mon, Sep 28, 2009 at 4:48 PM, wrote:
> On Mon, Sep 28, 2009 at 7:19 PM, jah 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 a numpy function (or set of functi
On Mon, Sep 28, 2009 at 19:35, Peng Yu wrote:
> On Mon, Sep 28, 2009 at 4:44 PM, Robert Kern wrote:
>> On Mon, Sep 28, 2009 at 16:40, Peng Yu 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
>>>
On Mon, Sep 28, 2009 at 4:44 PM, Robert Kern wrote:
> On Mon, Sep 28, 2009 at 16:40, Peng Yu 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 wha
On Mon, Sep 28, 2009 at 7:19 PM, jah 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 a numpy function (or set of functions) which will
> take this data and construct the sma
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 matplo
On Mon, Sep 28, 2009 at 16:40, Peng Yu 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 empty is also in
On Mon, Sep 28, 2009 at 16:27, Peng Yu wrote:
> On Mon, Sep 28, 2009 at 2:53 PM, Robert Kern wrote:
>> On Mon, Sep 28, 2009 at 14:31, Peng Yu 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
On Mon, Sep 28, 2009 at 2:53 PM, Robert Kern wrote:
> On Mon, Sep 28, 2009 at 14:31, Peng Yu 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?
>>
>> #c
On Mon, Sep 28, 2009 at 2:59 PM, Robert Kern wrote:
> On Mon, Sep 28, 2009 at 15:46, Charles R Harris
> 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 me
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 15:46, Charles R Harris
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.
I'm pretty sure that it
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 m
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 obj
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)
*
On Mon, Sep 28, 2009 at 14:31, Peng Yu 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 CPPFLAGS="-I$HOME/u
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 LDFL
On Mon, Sep 28, 2009 at 10:47 AM, Neal Becker wrote:
> Robert Kern wrote:
>
> > On Mon, Sep 28, 2009 at 10:36, Neal Becker wrote:
> >> Robert Kern wrote:
> >>
> >>> On Mon, Sep 28, 2009 at 06:23, Neal Becker
> wrote:
> Has anyone attempted a new array type in cython? Any hints?
> >>>
> >>
On Mon, Sep 28, 2009 at 1:36 PM, Pierre GM 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 incremented s
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/exc
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 so
On Mon, Sep 28, 2009 at 12:41 PM, Christopher Barker
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 incre
Robert Kern wrote:
> On Mon, Sep 28, 2009 at 10:36, Neal Becker wrote:
>> Robert Kern wrote:
>>
>>> On Mon, Sep 28, 2009 at 06:23, Neal Becker wrote:
Has anyone attempted a new array type in cython? Any hints?
>>>
>>> Are you having problems?
>>
>> No, haven't tried using cython for this y
On Mon, Sep 28, 2009 at 10:36, Neal Becker wrote:
> Robert Kern wrote:
>
>> On Mon, Sep 28, 2009 at 06:23, Neal Becker 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
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 j
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
> x.
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 si
On Mon, Sep 28, 2009 at 10:36, Neal Becker wrote:
> Robert Kern wrote:
>
>> On Mon, Sep 28, 2009 at 06:23, Neal Becker 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 an
On Mon, Sep 28, 2009 at 9:06 AM, Nicolas Rougier
wrote:
>
> 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
Robert Kern wrote:
> On Mon, Sep 28, 2009 at 06:23, Neal Becker 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 been with boost:
On Mon, Sep 28, 2009 at 06:23, Neal Becker 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 to interpret it as
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 tr
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
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
runs
Has anyone attempted a new array type in cython? Any hints?
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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 filing as a bug report?
Yes. It indeed seems t
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]:
a
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
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