Hello. For what its worth, as a newly ex-matlab user I would like to make a few suggestions on use of matrices in numpy. As per earlier discussions, I like the idea of being able to choose matrices as the default (vs arrays). But if possible, it would be nice if all functions etc that took matrices also returned matrices. I know effort has been made on this. Here are my suggestions:
1) is it possible to get the function unique() to work with matrices, perhaps with a unique_rows() function to work with matrices of more than one column? 2) It would be very convienient to have some simple way to delete selected columns of a matrix. For example, in matlab the command is X[:,[3,5,7]]=[] to delete the three selected columns. It would be nice if such a command would also work with selections, as in X[:,A[0,:]<4] = [], where X and A are matrices. For me, the single most frustrating and time-consuming aspect of switching to and using numpy is determing how to select columns/rows of arrays/matrices in different situations. In addition to being time consuming to figure out (relative to Matlab), often the code is quite verbose. I have made a few suggestions on this topic in an earlier post (under the title "Whats wrong with matrices?"). 3) It would be nice if matrices could be used for iterations. For example, if M was a 1 x n matrix, it would be nice to be able to use: for i in M: and iterate over the individual items in M. 4) It would be nice if the linear algebra package and other packages returned matrices if given matrices. For example, if M is a matrix, svd(M) now returns arrays. Just some suggestions. I wish I knew more so I could help implement them. Maybe one day. JJ ------------------------------------------------------------------------- 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
