If some of your numbers are decimal.Decimals, they might have range issues where conversion to float fails, or drops the fractional part that actually exists, depending on their precision:
>>> import decimal
>>> x = decimal.Decimal('1.00000000000000000000000000000000000001')
>>> str(x)
'1.00000000000000000000000000000000000001'
>>> float(x).is_integer()
True
>>> y = decimal.Decimal('1e5000')
>>> str(y)
'1E+5000'
>>> float(y)
inf
The str method will generally work (modulo problem cases like the one illustrated above), so you could stick with that, but it might be better to attempt to use is_integer and use a fallback if that fails:
try:
return x.is_integer()
except AttributeError:
pass
(as others note, you'll need to check for int and long here as well, if those are allowed types, since they are integers by definition but lack an is_integer attribute).
At this point, it's worth considering all of the other answers, but here's a specific decimal.Decimal handler:
# optional: special case decimal.Decimal here
try:
as_tuple = x.as_tuple()
trailing0s = len(list(itertools.takewhile(lambda i: i == 0, reversed(as_tuple[1]))))
return as_tuple[2] + trailing0s < 0
except (AttributeError, IndexError): # no as_tuple, or not 3 elements long, etc
pass