Thanks Pierre, i tried it and all works fine and fast.
my apologize :-( i used a wrong "if" statment to represent my needs if mydata[i,0] < E or mydata[i,0] > W or mydata[i,1] < N or mydata[i,1] > S : ^^ totally wrong for my needs^^ this "if" instead : if W < mydata[i,0] < E and S < mydata[i,1] < N: should reflect your example : yselect = (data[:,1] <= N) & (data[:,1] >= S) xselect = (data[:,0] <= E) & (data[:,0] >= W) selected_data = data[xselect & yselect] a question, how to code a masked array, as in the Brett's code, to reflect the new (right) if statment ? i'm asking this to try to learn how to use masked array. thanks a lot for your support!!! Massimo. Il giorno 11/set/2010, alle ore 23.00, Pierre GM ha scritto: > > On Sep 11, 2010, at 9:53 PM, Massimo Di Stefano wrote: > >> have you hints on how to get working the "MASK" code ? >> as it is now it pick all the points in the "mydata" array. > > Brett's code for the mask matched the loop of your post. However, taking a > second look at it, I don't see why it would work. Mind trying something like > > # Selection on the NS axis > yselect = (mydata[:,1] <= N) & (mydata[:,1] >= S) > # selection on the EW axis > xselect = (mydata[:,1] <= E) & (mydata[:,1] >= W) > # Global selection > selected_data = mydata[xselect & yselect] > > Now you can check in selected data that the coordinates are indeed in the > rectangle that you want, and take the min/max of your data as needed. > let me know how it goes > > P. > > > _______________________________________________ > 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
