Travis Oliphant schrieb: > 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. >
I think this is great, thanks to Bill for suggesting it and to Travis for implementing it! So the only convenience of matrices over pure arrays that remains (afaics): -) .I for inverse; actually, why not add that to arrays as well as "syntactic sugar"? -) * being the matrix product instead of element-wise; Now, I could live with using dot and I don't want to push anything, but maybe this is the right time to consider another operator symbol as a shortcut for the dot function to be used with arrays? (Unfortunately right now I can't think of any sensible character(s) for that...) -) ** analogously for powers. For me this is less important. -) Being able to distinguish between row and column vectors; I guess this is just not possible with arrays... If --apart from the previous changes-- numpy had the .I for arrays I guess this would get me to say goodbye to matrices. The rest of the list would be a welcome luxury. I believe this whole thing has the potential to unify the use of numpy by eventually making the matrix subclass redundant. IMO that would be more transparent for new users and would increase the popularity of numpy! Cheers, Sven 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
