Aug 23, 2024 · import math positive_infinity = math.inf negative_infinity = -math.inf 3. Integer maxsize. import sys maxSize = sys.maxsize minSize = -sys.maxsize 4. Using Python’s decimal module. from decimal import Decimal positive_infinity = Decimal('Infinity') negative_infinity = Decimal('-Infinity') 5. Using Numpy Library

Nov 28, 2020 · Your problem is not related to the usage or use cases of infinity type, but it is the representation issue. I believe you should use the normal infinity type in your math and create a property in your class that returns "-" and then use it only when you need to represent it on UI but not in your math.

Jun 27, 2014 · In Python 2, range() and xrange() were limited to sys.maxsize. In Python 3 range() can go much higher, though not to infinity: import sys for i in range(sys.maxsize**10): # you could go even higher if you really want if there_is_a_reason_to_break(i): …

Mar 7, 2020 · Don't overthink infinity is a concept. print(1 / _pos_infinity)#0.0 since 1/∞ is 0 print(1 / _neg_infinity)#-0.0 print(_pos_infinity * _neg_infinity)#-inf , A positive times a negative is a negative. print(_neg_infinity * _neg_infinity)#inf, A negative times a negative is positive try: val = 1/(1/_pos_infinity) # 1/∞ is 0 & 1/0 will raise ...

Aug 23, 2024 · As it happens, in Python 2, None is less than any integer, so you can use None. In Python 3 you have (at least) four choices: Use min(A) - 1. Use None, and whenever you compare two values, explicitly test for them being None. Define a new data type that consists of either an integer or -∞, and handles comparisons correctly.

Feb 18, 2017 · This point is based on CPython and could be completely different in another Python implementation. A float CPython instance requires 24 Bytes: >>> import sys >>> sys.getsizeof(np.inf) 24 If you can re-use the same instance you might save a lot of memory compared to creating lots of new instances.

Jan 11, 2018 · range copies the parameters given to it for internal use. So changes to those afterwards have no effect. Same as with the loop variable, which is only created from the internal values every time. That's different though if you use a mutable object like a list to iterate over: a = [1,2,3] for i in a: a.append(i) This loop will indeed run infinitely.

Jul 5, 2014 · For python 2. It is sometimes the case that you need a very large integer. For example, I may want to produce a subarray with x[:n] and, I may wish to sometimes set n to a value such that the whole array will be produced. Since you can't use a float for n (python wants an integer), you need a "large integer".

Jun 20, 2022 · Yet another solution would be to use the isin method. Use it to determine whether each value is infinite or missing and then chain the all method to determine if all the values in the rows are infinite or missing. Finally, use the negation of that result to select the rows that don't have all infinite or missing values via boolean indexing.

Putting infinity into such a place may be useful for the exception handler of your particular application logic, but would be incorrect for Python in general. – Lutz Prechelt Commented Mar 30, 2016 at 16:08