Ok, so i installed the newest numpy and scipy over enthought defaults. The original problem indeed disappeared! Given the highly suspicous magic threshold number of 10000, i suspect it was a bug in old numpy. Makes me wonder if it's really been solved or just stopped manifesting itself in my test data :>
Btw numpy.sum now behaves differently when axis is left unspecified: an example listed in help(numpy.sum) doesn't give the result the help claims it does, as numpy.sum([[0, 1], [0, 5]]) now gives 6. Someone ought to either change the description or the code 8) Cheers ------------------------------------------------------------------------- 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
