Bill Baxter wrote: > So in short my proposal is to: > -- make a.T a property of array that returns a.swapaxes(-2,-1), > -- make a.H a property of array that returns > a.conjugate().swapaxes(-2,-1) > and maybe > -- make a.M a property of array that returns numpy.asmatrix(a)
I've tentatively implemented all of these suggestions as well as adding the .A attribute to the ndarray as well (so that all sub-classes and array scalars can get back a view as an ndarray). I did this to make it easier to do matrix-like calculations with or with-out matrices. Matrix-calculation flexibility is still a sore-spot for many and I think these syntatical-sugar attributes will help long term. If there are no strong objections, then the recent MATH attribute checkin will stay. If there are major objections, then we can back them out without too much trouble as well. -Travis 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
