On Sat, Nov 11, 2006 at 01:59:40PM -0800, Keith Goodman wrote: > Would it make sense to upcast instead of downcast? > > This upcasts: > > >> x = M.matrix([[1, M.nan, 3]]) > >> x > matrix([[ 1. , nan, 3. ]]) > > But this doesn't: > > >> x = M.matrix([[1, 2, 3]]) > >> x[0,1] = M.nan > >> x > matrix([[1, 0, 3]])
This behaviour is consistent with x = N.array([[1,2.0,3]]) vs x = N.array([1,2,3]) x[0,1] = 2. > (BTW, how do you represent missing integers if you can't use NaN?) I think masked arrays should work on integer arrays (alternatively, if you have enough memory, cast your array to float). Regards Stéfan ------------------------------------------------------------------------- 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
