On 12/8/11 7:56 PM, Enrico wrote:
I am trying to pass a multi-dimensional ndarray to C as a multi-
dimensional C array for the purposes of passing it to mathematica.
They already have a wrapper for a 1-D Python list. where the list is
copied to "list". Shown below:
I would like t
I am trying to pass a multi-dimensional ndarray to C as a multi-
dimensional C array for the purposes of passing it to mathematica.
They already have a wrapper for a 1-D Python list. where the list is
copied to "list". Shown below:
static PyObject * mathlink_PutIntegerList(mathlink_
hello i'm using ctypes
i have this c function
PREF0 short usb_tc08_get_single (
short handle,
float * temp,
short * overflow_flags,
short units);
where :
nt main(void)
{
short handle = 0; /* The handle to a TC-08 returned by
usb_tc08_open_unit() */
char selection =
Dennis Lee Bieber wrote:
> Written properly, all it returns is the address of that array data
> -- there is no massive copying of data..
I know :) That's why I want to know how to write it properly.
zefciu
--
http://mail.python.org/mailman/listinfo/python-list
Russell E. Owen wrote:
>
> It might help to have a clearer idea of why you want to do this.
>
I am writing a Mandelbrot fractal generator with Tkinter interface. Now
the generation works like this - there is a loop in python which
iterates through fractal's pixels and for each of them calls a
In article <[EMAIL PROTECTED]>,
zefciu <[EMAIL PROTECTED]> wrote:
> Hi!
>
> I want to embed a function in my python application, that creates a
> two-dimensional array of integers and passes it as a list (preferably a
> list of lists, but that is not necessary, as the python function knows
> the
I have just read about buffer and array objects and I think one of them
could be fit for my need. However there are two questions.
If i make a buffer from a part of dynamically allocated memory, what
would free it? Should it be allocated with malloc or some
python-specific function?
How on eart
other_way below:
...
view = block.View(...)
stride = <>
one_way = [view[n: n + stride] for n in range(0, len(view), stride)]
other_way = [view[n::stride] for n in range(stride)]
...
One of these will give you row-major, and the other column-major access
to the live data
Hi!
I want to embed a function in my python application, that creates a
two-dimensional array of integers and passes it as a list (preferably a
list of lists, but that is not necessary, as the python function knows
the dimensions of this array). As I read the reference, I see, that I
must first i
Krish wrote:
> Hello People
>
> I hope I am On Topic. Anyways, here is my problem. Any insights would
> be really appreciated.
Posting to the [EMAIL PROTECTED] list would help
generate more responses, I think.
>
> I have wrapped a C IO module using SWIG -> Python Module. Suppose the
> name of
Thanks Jon Much
I will implement your method for the time being. I am sure there is
some method which doesn't copy the data but uses the existing data.
I mean essentially we should build a PyArrayObject with the data intact
and other parameters filled. If someone sheds some light, would be
awesom
Philip Austin wrote:
> "Travis E. Oliphant" <[EMAIL PROTECTED]> writes:
>
>
>>Krish wrote:
>
>
>>Yes, you are right that you need to use typemaps. It's been awhile
>>since I did this kind of thing, but here are some pointers.
>
>
> Also, there's http://geosci.uchicago.edu/csc/numptr
>
This
"Travis E. Oliphant" <[EMAIL PROTECTED]> writes:
> Krish wrote:
> Yes, you are right that you need to use typemaps. It's been awhile
> since I did this kind of thing, but here are some pointers.
Also, there's http://geosci.uchicago.edu/csc/numptr
--
http://mail.python.org/mailman/listinfo/p
Krish,
In case you find a good solution, I am also looking for one!
For now I essentially use helper functions on the c side which wrap in
SWIG to return the data as a string in python. That string can then be
converted to a numpy array using the fromstring function. This is
inefficient as it doe
Hello People
I hope I am On Topic. Anyways, here is my problem. Any insights would
be really appreciated.
I have wrapped a C IO module using SWIG -> Python Module. Suppose the
name of the module is "imageio" and the reader function from the file
is image_read() which returns an object ( "filled"
Yes, I'm normally calling .DLL function with a defined API and
memory layout. May not be optimal, when you don't have the
C code available and the data structure is part of the API it
works just fine.
-Larry Bates
Jorgen Grahn wrote:
> On Wed, 12 Oct 2005 11:13:52 -0500, Larry Bates <[EMAIL PROT
On Wed, 12 Oct 2005 11:13:52 -0500, Larry Bates <[EMAIL PROTECTED]> wrote:
> Like others, without more information on what you have tried we are
> just guessing. Many times I've used the struct.unpack() module to
> unpack C "arrays" into python objects.
In that case, it sounds like you make yours
f you
> give a clear example of what you are trying to accomplish, how, and why it
> fails.
>
> Adriaan Renting.
>
>
>>>>"Deshdeep, Singh (IE10)" <[EMAIL PROTECTED]> 10/04/05 7:33 am >>>
>
>
> I am extending C++ applica
accomplish, how, and why it fails.
Adriaan Renting.
>>>"Deshdeep, Singh (IE10)" <[EMAIL PROTECTED]> 10/04/05 7:33 am >>>
I am extending C++ application with python. I am not able to convert a C++
array in Python.
If anyone has the experience of the
I am extending C++ application with python. I am not able to
convert a C++ array in Python.
If anyone has the experience of the below :-
1) How to
handle the C++ array in the Python code and how to input that from the script ?
Awaiting for the solution
Regards
DD
Bo Peng wrote:
Scott David Daniels wrote:
I wrote "blocks and views" to overcome this problem.
I was too impatient to wait for your reply. :-)
I call 21-hour turnaround over New Year's Eve pretty good. Clearly I
will never be quick enough for you ;-). Since I presented this at
the Vancouver Pytho
Scott David Daniels wrote:
Python's array module is not built to do this well. It can re-size the
array, delete elements inside the array, and other things that don't
work very well with C-managed data. I wrote "blocks and views" to
overcome this problem.
As always the case, this problem have b
Bo Peng wrote:
Dear list,
I am writing a Python extension module that needs a way to expose pieces
of a big C array to python. Currently, I [use] NumPy Users ... actually
> change the underlying C array.
Python's array module is built-in, easy to use, but *without* a
FromLenAndData
Bo Peng wrote:
Dear list,
I am writing a Python extension module that needs a way to expose pieces
of a big C array to python. Currently, I am using NumPy like the following:
PyObject* res = PyArray_FromDimsAndData(1, int*dim, PyArray_DOUBLE,
char*buf);
Users will get a Numeric Array object
On Sat, 2005-01-01 at 10:27 -0600, Bo Peng wrote:
> Sorry if I was not clear enough. I was talking about the differece
> between python array module
> (http://docs.python.org/lib/module-array.html, Modules/arraymodule.c in
> the source tree) and NumPy array. They both use C-style memory block
Craig Ringer wrote:
On Sat, 2005-01-01 at 08:18, Bo Peng wrote:
Python's array module is built-in, easy to use, but *without* a
FromLenAndData function! Even the buffer interface provides only 'get
buffer' but no 'set buffer' functions. Could anyone tell me how I can
create an array object from
create an array object from existing data?
Python has no array objects in the core language, only lists. The
distinction is important when discussing numarray etc, because Python
lists and NumPy etc arrays are very different.
While you can build a Python list from a subsection of your C array,
c
Dear list,
I am writing a Python extension module that needs a way to expose pieces
of a big C array to python. Currently, I am using NumPy like the following:
PyObject* res = PyArray_FromDimsAndData(1, int*dim, PyArray_DOUBLE,
char*buf);
Users will get a Numeric Array object and can change
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