Is anybody interested in making x.max() and nanmax() behave the same for matrices, except for the NaN part? That is, make numpy.matlib.nanmax return a matrix instead of an array.
Example ===== >> import numpy.matlib as M >> x = M.rand(3,2) >> x.max(0) matrix([[ 0.91749823, 0.94942954]]) >> M.nanmax(x, 0) array([ 0.91749823, 0.94942954]) ------------------------------------------------------------------------- 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
