While the return of repr() and str() are identical for int x, you should notice the difference between the return values for str y. It is important to realize the default implementation of __repr__ for a str object can be called as an argument to eval and the return value would be ...
The main difference between __str__ and __repr__ is that __str__ should return a string that is easy for humans to read, while __repr__ should return a string that is more machine-readable and is intended to be used for debugging. For example, __repr__ might return something like...
>>> print(str(Sic())) foo >>> print(repr(Sic())) <__main__.Sic object at 0x2617f0> As you see, if you override __repr__, that's ALSO used for __str__, but not vice versa. Other crucial tidbits to know: __str__ on a built-on container uses the __repr__, NOT th...
First, let me reiterate the main points in Alex’s post: The default implementation is useless (it’s hard to think of one which wouldn’t be, but yeah) __repr__goal is to be unambiguous __str__goal is to be readable Container’s__str__uses contained objects’__repr__ >>>classF...
% "Apple" # a string using str() The object is an Apple. In [7]: print "The object is an %r." % "Apple" # a string using repr() The object is an 'Apple'. In [19]: z = {'a': 2, 'b': 3} In [21]: print "a is %(a)d, and b is %(b)d." % z a is 2,...
2.1. Introspection in Action Let’s write a simple Python code that makes use of introspection: >>> type(2) <class 'int'> >>> type("baeldung") <class 'str'>Copy In the example, we use the type() built-in to determine the type of the given values. Similarly, we can also use ...
Mutability in Built-in Types: A Summary Common Mutability-Related Gotchas Mutability in Custom Classes Techniques to Control Mutability in Custom Classes Conclusion Mark as Completed Share Recommended Video CourseDifferences Between Python's Mutable and Immutable TypesPython...
str Out[7]: '<M8[ns]' In [8]: dt.dtype.type Out[8]: numpy.datetime64 repr and str are string representations of an object, and each can have a different output for the same underlying data type. In [9]: repr(dt.dtype) Out[9]: "dtype('<M8[ns]')" In [10]: str(dt....
'repr','reversed','round','set','setattr','slice','sorted','staticmethod','str','sum','super','tuple','type','unichr','unicode','vars','xrange','zip']>>>import__builtin__ ['ArithmeticError','AssertionError','AttributeError','BaseException','BufferError','BytesWarning','...
question in stackoverflow about this argumentand i have to admit that there is a simple solution explained: thedatadiff libraryof python helps printing the difference between two dictionaries. Here's a way that will work, allows for keys that evaluate toFalse, and still uses a generator express...