i was wondering a bit about how to treat missing data when
> loading or saving data with pylab. numarray has a module
> for representing NaN, Inf (and i guess numpy have it). but
> what about reading files with missing data, or NaNs?
The latest matplotlib allows you to pass converter functions into load
so you could write a custom one along the lines of
def float_or_nan(x):
if x=='None': return nan
else: return float(x)
You could write something similar for save
> another note on pylab.load(): wouldn't it be fairly easy to
> detect the delimiter symbol automatically?
Probably -- let's see it 
JDH