[SciPy-user] Messing with missing values

[pgmdevlist at mailcan.com]

Folks,
Most of the data I work with have missing values, and I rely on 'ma' a lot. 
Unfortunately, most of the numpy/scipy functions don't handle missing values 
nicely. Not a problem I thought, I just have to adapt the functions I need.
I have 2 options: wrapping the initial functions in tests, or recode the 
initial functions. 
* According to your experience, which is the most efficient way to go ?
* I have a function that outputs either a float or MA.masked. I call this 
function recursively, appending the result to a list, and then trying to 
process the list as an array. How could I mask the values corresponding to 
MA.masked in the final list, without having to check every single element?

Thanks for your ideas



    
-- 
Pierre GERARD-MARCHANT
Driftmier Engineering Center
UGA
Athens, GA 30602
--
"It's more fun to compute" - Kraftwerk