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Why and how are Python functions hashable?

  • Difficulty Level : Easy
  • Last Updated : 31 Aug, 2020

So start with the question i.e. Why and how are Python functions hashable? First, one should know what actually hashable means in Python. So, hashable is a feature of Python objects that tells if the object has a hash value or not. If the object has a hash value then it can be used as a key for a dictionary or as an element in a set.

An object is hashable if it has a hash value that does not change during its entire lifetime. Python has a built-in hash method ( __hash__() ) that can be compared to other objects. For comparing it needs __eq__() or __cmp__() method and if the hashable objects are equal then they have the same hash value. All immutable built-in objects in Python are hashable like tuples while the mutable containers like lists and dictionaries are not hashable. 

Objects which are instances of the user-defined class are hashable by default, they all compare unequal, and their hash value is their id().

Example: Consider two tuples t1, t2 with the same values, and see the differences:


t1 = (1, 5, 6)
t2 = (1, 5, 6)
# show the id of object






In the above example, two objects are different as for immutable types the hash value depends on the data stored not on their id.


Example: Let’s see lambda functions are hashable or not.



# create a one-line function
l = lambda x : 1
# show the hash value
# show the id value
# show the hash value
print (l.__hash__())






Hence, lambda functions are hashable.


Example: Let’s see user defined def based function are hashable or not.



# create an empty function
def fun():
# print types of function
# print hash value
# print hash value




<class 'function'>


Therefore, any user defined function is hashable as its hash value remains same during its lifetime.


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