I accidentally wrote a unit test using int32 instead of float64 and ran into this problem:
>> x = M.matrix([[1, 2, 3]]) >> x[0,1] = M.nan >> x matrix([[1, 0, 3]]) <--- Got 0 instead of NaN But this, of course, works: >> x = M.matrix([[1.0, 2.0, 3.0]]) >> x[0,1] = M.nan >> x matrix([[ 1. , nan, 3. ]]) Is returning a 0 instead of NaN the expected behavior? If so do I need to check dtype before inserting NaNs? And if the dtype is int32, then raise an exception? I'm using 1.0rc1 from debian etch. ------------------------------------------------------------------------- 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
