Use a == b to check whether two Python values compare equal. Unlike is, which checks whether two references point to the same object, == uses the values’ equality behavior.
Use == for value comparison
For ordinary comparisons, write a == b:
if a == b:
print("values compare equal")
The result depends on the objects’ types and their equality implementation. It does not promise a universal, recursive definition of “same value” for every possible Python object.
How == differs from is
| Operator | Question answered | Typical use |
|---|---|---|
== |
Do these objects compare equal according to their types’ equality behavior? | Comparing values or contents |
is |
Are these references to the very same object? | Checking None or a deliberate sentinel |
For example, two lists can have equal contents while remaining separate objects:
[1, 2] == [1, 2] # True
[1, 2] is [1, 2] # False
Python’s Data Model reference describes is as comparing object identity. Equality, by contrast, can be customized by a type’s __eq__ method.
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When identity checks are appropriate
Check for None
Use is when checking the None singleton:
if result is None:
handle_missing_result()
PEP 8 recommends identity comparisons for singletons. Avoid result == None; equality can be customized, while the identity check directly asks whether the value is the None object.
Check a deliberately created sentinel
A private sentinel distinguishes a missing value from ordinary values, including None:
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_MISSING = object()
value = lookup(key, default=_MISSING)
if value is _MISSING:
handle_missing_key()
Identity is suitable here because the sentinel is intentionally one unique object.
What equality means for different types
Built-in containers
Built-in sequences such as lists and tuples compare equal when they have the same type and length and corresponding elements compare equal. Consequently, a list and tuple with matching items are not equal. Dictionaries compare their key-value pairs.
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Numbers
Built-in numeric types can compare equal across types when their values are mathematically equal, subject to Python’s numeric comparison rules. Do not assume every pair of different types must compare unequal.
Custom classes
If instances of a class have a meaningful value-based equality, implement __eq__. Python uses rich comparison for x == y. A method can return NotImplemented when it does not support the other operand; if neither side handles the comparison, equality falls back to identity.
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An equality method may return something other than a Boolean. In a conditional such as if x == y:, Python converts the result to truth using bool(). When you define equality for a hashable class, equal objects must have equal hashes. For mutable objects, avoid a hash value that can change while the object is being used as a dictionary key or set member.
Important equality edge cases
NaN is unequal to itself
A floating-point NaN compares unequal to itself: nan == nan is false, even when both operands refer to the same NaN object. Do not use self-equality as a general NaN detection method.
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Do not use is for ordinary strings or numbers
Python does not guarantee that equal integer or string values share an object. Identity checks for such constants can appear to work in one situation and fail in another; use == to compare their values.
Quick Recap
Practical rule
- Use
==to compare ordinary values and container contents. - Use
iswhen object identity itself matters, especially forNoneand unique sentinels. - For custom objects, check what their equality method defines rather than assuming equality always means identical contents.
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