Heli Nix wrote: > Is there any way that I can optimize this if statement.
Array processing is much faster in numpy. Maybe this is close to what you want import numpy as N # input data vals = N.array([42, 1, 5, 3.14, 53, 1, 12, 11, 1]) # list of items to exclude exclude = [1] # convert to a boolean array exclbool = N.zeros(vals.shape, dtype=bool) exclbool[exclude] = True # do replacement ones = vals==1.0 # Note: ~ is numpy.logical_not vals[ones & (~exclbool)] = 1e-20 I think you'll have to convert your HDF array into a numpy array first, using numpy.array(). Jeremy -- https://mail.python.org/mailman/listinfo/python-list
