[Numpy-discussion] 0/0 is 0 or nan?
Christopher Barker
Chris.Barker at noaa.gov
Fri Mar 9 14:46:45 EST 2007
Robert Kern wrote:
> What version of numpy are you using?
>>> from numpy import *
>>> print __version__
1.0.1
>>> a = array(0, dtype=int)
>>> b = array(0, dtype=int)
>>> divide(a, b)
Warning: divide by zero encountered in divide
0
>>> geterr()
{'over': 'print', 'divide': 'print', 'invalid': 'print', 'under': 'ignore'}
>>> divide(0.0, 0.0)
Warning: invalid value encountered in divide
nan
I had reset error reporting to match the OP before. It looks like I get
the same as you with the defaults.
There is no NaN for integers, so I guess 0 is as good as anything
-Chris
--
Christopher Barker, Ph.D.
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Chris.Barker at noaa.gov
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