On 11/11/06, Robert Kern <[EMAIL PROTECTED]> wrote: > Barring a clever solution (at least cleverer than I feel like being > immediately), the way to solve this would be to check for nans in the array > and > deal with them separately (or simply ignore them in the case of x.min()). > However, this checking would slow down the common case that has no nans > (sans nans, if you will).
I'm not one of the fans of sans nans. I'd prefer a slower min() that ignored nans. But I'm probably in the minority. How about a nanmin() function? ------------------------------------------------------------------------- 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
