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... Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
