What is the purpose of __str__ and __repr__?

Building up and on the previous answers and showing some more examples. If used properly, the difference between str and repr is clear. In short repr should return a string that can be copy-pasted to rebuilt the exact state of the object, whereas str is useful for logging and observing debugging results. Here are some examples to see the different outputs for some known libraries.

Datetime

print repr(datetime.now())    #datetime.datetime(2017, 12, 12, 18, 49, 27, 134411)
print str(datetime.now())     #2017-12-12 18:49:27.134452

The str is good to print into a log file, where as repr can be re-purposed if you want to run it directly or dump it as commands into a file. 

x = datetime.datetime(2017, 12, 12, 18, 49, 27, 134411)

Numpy

print repr(np.array([1,2,3,4,5])) #array([1, 2, 3, 4, 5])
print str(np.array([1,2,3,4,5]))  #[1 2 3 4 5]

in Numpy the repr is again directly consumable.

Custom Vector3 example

class Vector3(object):
    def __init__(self, args):
        self.x = args[0]
        self.y = args[1]
        self.z = args[2]

    def __str__(self):
        return "x: {0}, y: {1}, z: {2}".format(self.x, self.y, self.z)

    def __repr__(self):
        return "Vector3([{0},{1},{2}])".format(self.x, self.y, self.z)

In this example, repr returns again a string that can be directly consumed/executed, whereas str is more useful as a debug output. 

v = Vector3([1,2,3])
print str(v)     #x: 1, y: 2, z: 3
print repr(v)    #Vector3([1,2,3])

One thing to keep in mind, if str isn't defined but repr, str will automatically call repr. So, it's always good to at least define repr


The one place where you use them both a lot is in an interactive session. If you print an object then its __str__ method will get called, whereas if you just use an object by itself then its __repr__ is shown:

>>> from decimal import Decimal
>>> a = Decimal(1.25)
>>> print(a)
1.25                  <---- this is from __str__
>>> a
Decimal('1.25')       <---- this is from __repr__

The __str__ is intended to be as human-readable as possible, whereas the __repr__ should aim to be something that could be used to recreate the object, although it often won't be exactly how it was created, as in this case.

It's also not unusual for both __str__ and __repr__ to return the same value (certainly for built-in types).


__repr__

Called by the repr() built-in function and by string conversions (reverse quotes) to compute the "official" string representation of an object. If at all possible, this should look like a valid Python expression that could be used to recreate an object with the same value (given an appropriate environment).

__str__

Called by the str() built-in function and by the print statement to compute the "informal" string representation of an object.

Use __str__ if you have a class, and you'll want an informative/informal output, whenever you use this object as part of string. E.g. you can define __str__ methods for Django models, which then gets rendered in the Django administration interface. Instead of something like <Model object> you'll get like first and last name of a person, the name and date of an event, etc.

__repr__ and __str__ are similar, in fact sometimes equal (Example from BaseSet class in sets.py from the standard library):

def __repr__(self):
    """Return string representation of a set.

    This looks like 'Set([<list of elements>])'.
    """
    return self._repr()

# __str__ is the same as __repr__
__str__ = __repr__

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Python

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