Hi, I am looking for an elegant and fast way to fill the voids of a 2d array with neighbouring values. The array's size can be up to (1000, 1000) and its values are slowly varying around a mean value. What I call voids are values which are far from the mean value (+- 80%). A void usually extends over some adjacent coordinates.
Currently I am using tmp = N.ma.array(tmp, tmp<threshold) data[tmp.mask] = tmp.mean() which moves the voids closer to the mean value but which is still far from beeing a smooth interpolation. Regards, Christian _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
