Hi Rob,
Thanks for that. I'll take a look and let you know.
-Monte
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Hi Monte,
I did send an email around a few weeks also on this
https://mail.python.org/archives/list/numpy-discussion@python.org/message/R6OARH7GJ3XPRFZC55XGYDW4S4GZXA5H/
and have a working example at
https://github.com/rjfarmer/numpy/tree/ctypelibs_as_array_flags but haven't
gotten around to
Eric,
Thanks for the reply. My use case is using ctypes as an interface between Numpy
and Fortran in cases where I can't/don't want to use f2py. It's easy enough
for me to put a wrapper around ctypeslib.as_array() so that I can read in
multidimensional Fortran arrays correctly (I reverse the
Hi Monte,
This strikes me as a slightly strange request; ctypes is intended to
interface with the C memory model, which has no native representation of
fortran arrays.
The underlying workings of `as_array` is to cast your ctype pointer into a
ctypes array object, and then pass that into numpy.