>
> from the numpy list:
> > numarray allows one to customize how errors are handled. You can
> > choose:
> >
> > 1) to silently ignore all errors.
> > 2) print a warning message (default)
> > 3) raise an exception.
> >
> > One may separately set one of these three behaviors for each of
> > the 4 ieee categories of floating point errors, namely
> >
> > 1) invalid results (i.e., NaNs)
> > 2) divide by zeros (Infs)
> > 3) overflows
> > 4) underflows
>
> now try this:
> from numarray import *
> 1./arange(10)
> Warning: Encountered divide by zero(s) in divide
> array([ inf, 1.00000000e+000, 5.00000000e001,
> 3.33333333e001, 2.50000000e001, 2.00000000e001,
> 1.66666667e001, 1.42857143e001, 1.25000000e001,
> 1.11111111e001])
>
>
> there is the inf!!
>
Thank you Flavio,
I had tried the test you just suggested, and only got the warning message. I
incorrectly assumed that the result had not been returned. Now I see that it
was returned:
from numarray import *
a=1./arange(10) #displays error
print a # displays a with the inf
Thanks again,
Darren
