Hi,
In part of my C++ code, I often do
void foo(PyObject * matrix) {
do stuff
}
where matrix is a numpy mxn matrix created on the Python side, where
foo() eg. is invoked as
a = numpy.array([[1,2],[3,5]])
foo(a)
However, if you call transpose() on a, some care should be taken, since
numpy's internal matrix data first gets transposed on demand. In that
case I must do
a = numpy.array([[1,2],[3,5]])
a.transpose()
foo(a.copy())
to make sure the correct data of the array gets transferred to the C++
side.
Is there any way for me to detect (on the Python side) that transpose()
has been invoked on the matrix, and thereby only do the copy operation
when it really is needed? For example
if a_has_transposed_data:
foo(a.copy())
else:
foo(a)
Best regards,
Mads
--
+---------------------------------------------------------+
| Mads Ipsen |
+----------------------+----------------------------------+
| Gåsebæksvej 7, 4. tv | phone: +45-29716388 |
| DK-2500 Valby | email: mads.ip...@gmail.com |
| Denmark | map : www.tinyurl.com/ns52fpa |
+----------------------+----------------------------------+
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
