On Wed, Dec 29, 2010 at 11:43 AM, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > >>> That might be because I'm not understanding you very well, but I was >>> thinking that: >>> >>> cdef dtype descr = PyArray_DescrFromType(NPY_FLOAT64) >>> >>> would give you the float64 dtype that I thought you wanted? I'm >>> shooting from the hip here, in between nieces competing for the >>> computer and my attention. >> >> I think I need a function. One that does this: >> >>>> n = 10.0 >>>> hasattr(n, 'ndim') >> False >>>> m = np.float64(n) >>>> hasattr(m, 'ndim') >> True > > Now the nieces have gone, I see that I did completely misunderstand. > I think you want the C-API calls to be able to create a 0-dim ndarray > object from a python float. > > There was a thread on C-API array creation on the cython list a little > while ago: > > http://www.mail-archive.com/cython-dev@codespeak.net/msg07703.html > > Code in scipy here: > > https://github.com/scipy/scipy-svn/blob/master/scipy/io/matlab/mio5_utils.pyx > > See around line 36 there, and 432, and the header file I copied from > Dag Sverre: > > https://github.com/scipy/scipy-svn/blob/master/scipy/io/matlab/numpy_rephrasing.h > > As you can see, it's a little horrible, in that you have to take care > to get the references right to the dtype and to the data. I actually > did not investigate in detail whether this lower-level array creation > was speeding my code up much. > > I hope that's more useful...
Wow! That's a mouthful of code. Yes, very handy to have an example to work from. Thank you. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
