When I do floating point division in Python, if I divide by zero, I get an exception:
>>> 1.0/0.0 Traceback (most recent call last): File "<stdin>", line 1, in <module> ZeroDivisionError: float division I'd really like to get NaN or Inf instead (because the NaN or Inf will propagate through the rest of my calculation correctly and not kill my program).
How can I do this?
No, because in mathematics, division by zero is simply undefined and infinity is commonly not a value (or not a single value).
So zero divided by zero is undefined. So, let's label it as that. Make sure that when you are faced with something of this nature, where you are dividing by zero make sure you don't put an actual number down, or a variable down.
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One can argue that 0/0 is 0, because 0 divided by anything is 0. Another one can argue that 0/0 is 1, because anything divided by itself is 1. And that's exactly the problem! Whatever we say 0/0 equals to, we contradict one crucial property of numbers or another.
The easiest way to get this behaviour is to use numpy.float64 instead of Python default float type:
>>> import numpy >>> numpy.float64(1.0) / 0.0 inf Of course this requires NumPy. You can use numpy.seterr() to fine-tune the error handling.
Method 1:
try: value = a/b except ZeroDivisionError: value = float('Inf') Method 2:
if b != 0: value = a / b else: value = float('Inf') But be aware that the value could as well be -Inf, so you should make a more distinctive test. Nevertheless, this above should give you the idea how to do it.
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