On 11/12/06, Tim Hochberg <[EMAIL PROTECTED]> wrote: > I haven't been following this too closely, but if you need to transpose > your data without converting all to one type, I can think of a couple of > different approaches: > > 1. zip(*yourlist) > 2. numpy.transpose(numpy.array(yourlist, dtype=object) > > I haven't tested them though (particularly the second one), so caveat > emptor, etc, etc.
Its not that I want to transpose data. I'm trying to convert the output of a pgdb postgres query into an array with fields and types corresponding to the columns I have selected. The problem is pgdb does not return a list of tuples as it should according to DB 2.0, but instead a list of lists. So numpy.array(lol, dtype=) fails, and so will your solution #2. I don't want to copy the data more than once obviously, so I'm looking for a way to call array() with a lists of lists. Erin ------------------------------------------------------------------------- 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
