Python __str__()

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The Python __str__ method returns a string representation of the object on which it is called. For example, if you call print(x) an object x, Python internally calls x.__str__() to determine the string representation of object x. This method is also used to implement the built-in str() function.

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 str()

Python’s built-in str(x) function converts the object x to a string using the x.__str__() method or, if non-existent, the repr(x) built-in function to obtain the string conversion.

Python str() Function
>>> str(42)
>>> str(3.14)

# Equivalence of str() and __str__() on lists:
>>> str([1, 2, 3])
'[1, 2, 3]'
>>> [1, 2, 3].__str__()
'[1, 2, 3]'

# Dictionary:
>>> str({'Donna': 33, 'Harvey': 44})
"{'Donna': 33, 'Harvey': 44}"

Example Custom __str__()

In the following example, you create a custom class Data and overwrite the __str__() method so that it returns a dummy string.

class Data:
    def __str__(self):
        return '... my result of str ...'

a = Data()

# ... my result of str ...

If you hadn’t defined the __str__() method, Python would’ve used the default implementation:

Default __str__() Implementation

Per default, any object has a __str__() method implementation—so you can represent any object x as a string explicitly by using the built-in str(x) function or using it implicitly by calling print(x).

However, the default __str__() implementation provides only meta information about the object. For example, on our custom object, it provides the string representation <__main__.Data object at 0x0000028A54B0AFA0>. This includes the following information:

  • The location where the object is defined (e.g., __main__).
  • The name of the object (e.g., Data).
  • The memory location of the object as a hexadecimal number (e.g., 0x0000028A54B0AFA0).

Here’s an example:

class Data:

a = Data()

# <__main__.Data object at 0x0000028A54B0AFA0>

__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 =

# 2021-12-06 11:14:56.285055

# 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()

# 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()

# python

The __str__() method has some more powerful arguments—you can learn about them in our detailed blog tutorial here.


Where to Go From Here?

Enough theory. Let’s get some practice!

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