Geoffrey Zhu wrote: > On 7/26/07, Robert Kern <[EMAIL PROTECTED]> wrote: >> Geoffrey Zhu wrote: >>> Hi Everyone, >>> >>> I finally build a C extension. The one problem I found is that it is >>> too picky about the input. For example, it accepts >>> array([1.0,2.0,3.0]) with no problem, but when I pass in >>> array([1,2,3]), since the dtype of the array is now int, my extension >>> does not like it. >> Okay. Show us the code that you are using, and we can help you find a better >> way. >> >>> 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. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
