What is the rule to determine the dtype returned by numpy functions that return indices such as np.argmax?
I assumed that np.argmax() returned the same dtype as np.int_. That works on linux32/64 and win32 but on win-amd64 np.int_ is int32 and np.argmax() returns int64. Someone suggested using intp. But I can't figure out how to do that in Cython since I am unable to cimport NPY_INTP. So this doesn't work: from numpy cimport NPY_INTP cdef np.ndarray[np.intp_t, ndim=1] output = PyArray_EMPTY(1, dims, NPY_INTP, 0) Is there another way? All I can think of is checking whether np.intp is np.int32 or int64 when I template the code. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion