You could try the fromarrays function of numpy.core.records >>> mydescriptor = {'names': (a','b','c','d'), 'formats':('f4', 'f4', 'f4', 'f4')} >>> a = N.core.records.fromarrays(N.transpose(yourlist), dtype=mydescriptor)
The 'transpose' function ensures that 'fromarrays' sees 4 arrays (one for each column). ------------------------------------------------------------------------- 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