Simplest I see is to do it manually. If your array data is numeric compatible
mean = sum(a)/len(a) as for the standard Deviation it depends on the nature of your data... check out http://en.wikipedia.org/wiki/Standard_deviation for info on that... but in all a for loop with a few calculation within should be enough I know no "standard" way to do this in python Have not tested above code but it should work Éric SpreadTooThin wrote: > import array > a = array.array('f', [1,2,3]) > > print a.mean() > print a.std_dev() > > Is there a way to calculate the mean and standard deviation on array > data? > > Do I need to import it into a Numeric Array to do this? > > -- http://mail.python.org/mailman/listinfo/python-list
