get the shape of a numpy ndarray in C++ code [boost.python]
[sorry is half a post appeared earlier. Bloody Google groups...]
Hello,
I'm trying to use a numpy array in C++ (win2000) using boost.python.
Test code:
void test( numeric::array& nsP)
{
object shape = nsP.getshape();
int rows = extract(shape[0]);
int cols = extract(shape[1]);
}
At first, running it in Python got me this message:
ArgumentError: Python argument types in
d3d.wr_conn(numpy.ndarray)
did not match C++ signature:
wr_conn(class boost::python::numeric::array {lvalue})
I fixed this using this line:
numeric::array::set_module_and_type( "numpy", "ndarray");
[was that right?]
At least it got me one step further; the array is accepted. Now the
message is this:
AttributeError: 'numpy.ndarray' object has no attribute 'getshape'
Now I'm stumped. The only thing I can find is
http://www.thescripts.com/forum/showthread.php?t=644270
which regrettably ends with the same question. What's wrong here?
greets,
Marc
--
http://mail.python.org/mailman/listinfo/python-list
error using all()/numpy [TypeError: cannot perform reduce with flexible type]
Hello all, I'm pretty new to Python, but use it a lot lately. I'm getting a crazy error trying to do operations on a string list after importing numpy. Minimal example: [start Python] Python 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> a=['1','2','3'] >>> all(a) True >>> from numpy import * >>> all(a) Traceback (most recent call last): File "", line 1, in File "C:\Python25\lib\site-packages\numpy\core\fromnumeric.py", line 982, in all return _wrapit(a, 'all', axis, out) File "C:\Python25\lib\site-packages\numpy\core\fromnumeric.py", line 37, in _wrapit result = getattr(asarray(obj),method)(*args, **kwds) TypeError: cannot perform reduce with flexible type [end of example] It seems that Python calls numpy's "all" instead of the standard one, is that right? If so, how can I call the standard "all" after the numpy import? ["import numpy" is not a desirable option, I use a lot of math in my progs] Is there another way around this error? Marc -- http://mail.python.org/mailman/listinfo/python-list
Re: error using all()/numpy [TypeError: cannot perform reduce with flexible type]
On 23 mei, 09:12, Marc Oldenhof <[EMAIL PROTECTED]> wrote: > Hello all, > > I'm pretty new to Python, but use it a lot lately. I'm getting a crazy > error trying to do operations on a string list after importing numpy. > Minimal example: > > [start Python] > > Python 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 bit > (Intel)] on win32 > Type "help", "copyright", "credits" or "license" for more information. > > >>> a=['1','2','3'] > >>> all(a) > True > >>> from numpy import * > >>> all(a) > > Traceback (most recent call last): > File "", line 1, in > File "C:\Python25\lib\site-packages\numpy\core\fromnumeric.py", line > 982, in all > return _wrapit(a, 'all', axis, out) > File "C:\Python25\lib\site-packages\numpy\core\fromnumeric.py", line > 37, in _wrapit > result = getattr(asarray(obj),method)(*args, **kwds) > TypeError: cannot perform reduce with flexible type > > [end of example] > > It seems that Python calls numpy's "all" instead of the standard one, > is that right? If so, how can I call the standard "all" after the > numpy import? ["import numpy" is not a desirable option, I use a lot > of math in my progs] > > Is there another way around this error? > > Marc Never mind, I found a way. For reference: >>> import __builtin__ >>> __builtin__.all(a) True Works! Marc -- http://mail.python.org/mailman/listinfo/python-list
Re: error using all()/numpy [TypeError: cannot perform reduce with flexible type]
On 23 mei, 09:12, Marc Oldenhof <[EMAIL PROTECTED]> wrote: Thanks for the reactions, I'll use the "from numpy import " from now on :) Marc -- http://mail.python.org/mailman/listinfo/python-list
