Hello Jeff, I just wanna give feedback on what got me going here: #### data preparation ### data is loaded from a CSV file ### lats = y # data[:,0] ## lon => x lons = x # data[:,1] ## values => z values = z #data[:,2] ### lat_uniq = list(set(lats.tolist())) nlats = len(lat_uniq) lon_uniq = list(set(lons.tolist())) nlons = len(lon_uniq) color_map = plt.cm.spectral print lats.shape, nlats, nlons yre = lats.reshape(nlats,nlons) xre = lons.reshape(nlats,nlons) zre = values.reshape(nlats,nlons) #### later in the defined map CT = m.contourf(xre, yre, zre, cmap=color_map)
Of course, this can be simplified. But, really, in the end the solution was just simple and I hadn't thought of it... If you want I can try to create a short example for the distribution. Thanks for your help again, Timmie ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
