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
__str__=to_sand__repr__=inspect. - Ajedi32