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) Thanking you................... -- DILEEPKUMAR. R J R F, IIT DELHI
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