Travis Oliphant <oliphant <at> ee.byu.edu> writes: > But, some kind of function that returns an array with specific > entries deleted would be nice.
I agree. This would be just fine. > We could over-ride the iterator > behavior of matrices, though to handle 1xn and nx1 matrices > identically if that is desirable. I had tried this iteration on a month-old version of numpy and it did not work. I guess this now has been changed. I just updated my copy but have not yet tried it. An over-ride might be nice. But just off the topic, could you get a matrix of real numbers such as A= [[1.0 2.0,3.0]] to be used to select rows/colums as in B[:,A]? I guess this would require a hidden conversion to integers, as well as code to handle selection using a matrix. > Svd returns matrices now. Except for the list of singular values > which is still an array. Do you want a 1xn matrix instead of an > array? I had just tried this with my new version of numpy, but I had used svd as follows: import scipy.linalg as la res = la.svd(M) That returned arrays, but I see that using: res = linalg.svd(M) returns matrices. Apparently, both numpy and scipy have linalg packages, which differ. I did not know that. Whoops. ------------------------------------------------------------------------- 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
