> >>> How do I handle this situation? Is there any way to access any data > >>> type that can be converted into a double? > >> I usually use PyArray_FROM_OTF(). That handles the usual cases. It's > >> pretty much > >> like starting off a pure Python function with asarray(x, dtype=whatever). > >> > > That is going to make a copy of the memory every time and might slow > > down things a lot? > > Not if you pass it an array with the requested properties. >
Neat. Do you know if PyArray_FROM_OTF() increments the reference count of the returned object? The documentation does not say. My guess is yes. _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
