On Mon, Apr 25, 2011 at 2:50 AM, dileep kunjaai <dileepkunj...@gmail.com> wrote: > Dear sir, > > I am have 2 mxn numpy array say "obs" & "fcst". I have to > calculate sum of squre of (obs[i, j]-fcst[i, j]) using from cdms2 > import MV2 as MV in CDAT without using "for" loop. > > For example: > obs= > [0.6 1.1 0.02 0.2 0.2 > 0.8 0. 0. 0.4 0.8 > 0.5 5.5 1.5 0.5 1.5 > 3.5 0.5 1.5 5.0 2.6 > 5.1 4.1 3.2 2.3 1.5 > 4.4 0.9 1.5 2. 2.3 > 1.1 1.1 1.5 12.6 1.3 > 2.2 12 1.7 1.6 15 > 1.9 1.5 0.9 2.5 5.5 ] > > > > fcst= > > [0.7 0.1 0.2 0.2 0.2 > 0.3 0.8 0. 0. 0. > 0.5 0.5 0.5 0.5 0.5 > 0.7 1. 1.5 2. 2.6 > 5.1 4.1 3.2 2.3 1.5 > 0.7 1. 1.5 2. 2.3 > 1.1 1.1 1.1 12.7 1.3 > 2.2 2. 1.7 1.6 1.5 > 1.9 1.5 0.9 0.5 7.5] > > here "obs" and "fcst" are numpy array > I give > > obs=MV.array(obs) > fcst=MV.array(fcst) > > Then it become > > > sbst=obs-fcst > >>> subst= > [[ -0.1 1. -0.18 0. 0. ] > [ 0.5 -0.8 0. 0.4 0.8 ] > [ 0. 5. 1. 0. 1. ] > [ 2.8 -0.5 0. 3. 0. ] > [ 0. 0. 0. 0. 0. ] > [ 3.7 -0.1 0. 0. 0. ] > [ 0. 0. 0.4 -0.1 0. ] > [ 0. 10. 0. 0. 13.5 ] > [ 0. 0. 0. 2. -2. ]] > > But i dont know how to find sum of squre of each term....(Actually my aim is > to finding MEAN SQUARED ERROR)
(sbst**2).sum() or with sum along columns (sbst**2).sum(0) explanation is in the documentation Josef > > > > > Thanking you................... > > -- > DILEEPKUMAR. R > J R F, IIT DELHI > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
