From: Darren D. <dd...@co...> - 2004-10-04 16:26:21
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> > 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, 5.00000000e-001, > 3.33333333e-001, 2.50000000e-001, 2.00000000e-001, > 1.66666667e-001, 1.42857143e-001, 1.25000000e-001, > 1.11111111e-001]) > > > 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 |