From: Robert K. <rob...@gm...> - 2006-08-22 19:49:54
|
James Boyle wrote: > I have some codes which require a Numeric array and others which > require a numpy array. > I have no control over either code, and not the time to convert all to > numpy if I did. > The problem is this - say I have a routine that returns a numpy array > as a result and I wish to do something to this array using a code that > uses Numeric. Just passing the numpy array to the numeric code does > not work. In my case the Numeric code thinks that the numpy float is a > long int, this is not good. So what does one do in the interim? There > are some legacy codes which will never be converted to numpy. > > I have seen discussion as to how to convert Numeric -> numpy, but not > how the two can play together. I can appreciate the strong desire to > eliminate having two systems, but the practical aspects of getting > things done must also be considered. > > I am using numpy 1.0b1 and Numeric 23.7 . Upgrade to Numeric 24.2 and use Numeric.asarray(numpy_array) and numpy.asarray(numeric_array) at the interfaces between your codes. -- 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 |