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 . Thanks for any enlightenment - perhaps I am missing something obvious. --Jim ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
