Syntax
object.__repr__(self)
The Python __repr__
method returns a string representation of the object on which it is called. It implements the built-in repr()
function. If you call print(x)
an object x
, Python internally calls x.__str__()
to determine the string representation of object x
. If this isn’t implemented, Python calls x.__repr__().
We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder methods with explanation, check out our dunder cheat sheet article on this blog.
Background repr()
Python’s built-in repr(x)
function returns the standard (canonical) representation of an object.
>>> repr(42) '42' >>> repr('42') "'42'" >>> repr([1, 2, 3]) '[1, 2, 3]' >>> repr({'Alice': 'Bob', 'Bob': 'Alice'}) "{'Alice': 'Bob', 'Bob': 'Alice'}" >>> repr(object) "<class 'object'>" >>> repr(repr) '<built-in function repr>'
Example Custom __repr__
Do you want to implement a custom string representation when using the repr(object)
function on your custom object
?
To accomplish this, overwrite the object.__repr__()
method when defining the class and return the desired string representation of the given object.
💡 Note that if __str__()
is defined, it takes precedence over __repr__()
. The latter is only used as a fallback that’s implemented per default for any object.
Let’s have a look at an example where both dunder methods are defined:
class Car: def __init__(self, color, brand): self.color = color self.brand = brand def __str__(self): return 'Your car has color ' + self.color + ' and brand ' + self.brand def __repr__(self): return '123' porsche = Car('black', 'porsche') tesla = Car('silver', 'tesla') print(str(porsche)) print(str(tesla))
The output is:
Your car has color black and brand porsche Your car has color silver and brand tesla
Note how __str__
takes precedence over __repr__
.
No __str__() but __repr__() defined
If you skip the definition of the __str__
method, it’ll take the string returned by the __repr__
method:
class Car: def __init__(self, color, brand): self.color = color self.brand = brand def __repr__(self): return '123' porsche = Car('black', 'porsche') tesla = Car('silver', 'tesla') print(str(porsche)) print(str(tesla))
The output now is:
123 123
Thus, if you define the __repr__
dunder method but not the __str__
dunder method, the built-in str()
function falls back to the __repr__()
output.
__repr__ vs __str__
The difference between __str__()
and __repr__()
methods is that __str__()
is expected to return a human-readable format, whereas __repr__()
is expected to return a formal string representation of the object that should be sufficient to reconstruct the object (e.g., including object state variables).
Here’s an example:
import datetime now = datetime.datetime.now() print(now.__str__()) # 2021-12-06 11:14:56.285055 print(now.__repr__()) # datetime.datetime(2021, 12, 6, 11, 14, 56, 285055)
💡 The first output is a human-readable format, whereas the second output could be use to reconstruct the original object, e.g., by passing the output string into the eval()
function.
However, the methods are closely related and they can even call each other if one of them is not implemented:
Python uses the __str__()
method as a priority when being forced to convert an object to a string.
If __str__()
is not defined, it attempts to call __repr__()
.
Only if this is not defined as well, it uses the default string representation of any object with the memory address and the name and location of the object’s class definition.
Here’s what happens if you define __repr__
but not __str__
:
class Data: def __repr__(self): return 'finxter' a = Data() print(str(a)) # finxter
And here’s what happens if both methods are defined __str__()
and __repr__()
—Python prioritizes the definition of the __str__()
method:
class Data: def __repr__(self): return 'finxter' def __str__(self): return 'python' a = Data() print(a) # python
The __str__()
method has some more powerful arguments—you can learn about them in our detailed blog tutorial here.
References:
Where to Go From Here?
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