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?
>>
