That should do it. Thanks. How do I get the scalar result by itself?
Keith Goodman wrote: > On Fri, Dec 18, 2009 at 1:51 PM, Wayne Watson > <sierra_mtnv...@sbcglobal.net> wrote: > >> Is it possible to calculate a dot product in numpy by either notation >> (a ^ b, where ^ is a possible notation) or calling a dot function >> (dot(a,b)? I'm trying to use a column matrix for both "vectors". >> Perhaps, I need to somehow change them to arrays? >> > > Does this do what you want? > > >>> x >>> > matrix([[1], > [2], > [3]]) > > >>> x.T * x >>> > matrix([[14]]) > >>> np.dot(x.T,x) >>> > matrix([[14]]) > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- Wayne Watson (Watson Adventures, Prop., Nevada City, CA) (121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time) Obz Site: 39° 15' 7" N, 121° 2' 32" W, 2700 feet "... humans'innate skills with numbers isn't much better than that of rats and dolphins." -- Stanislas Dehaene, neurosurgeon Web Page: <www.speckledwithstars.net/> _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion