Is there a standardized method to swap two variables in Python?

后端 未结 7 954
天涯浪人
天涯浪人 2020-11-22 00:09

In Python, I\'ve seen two variable values swapped using this syntax:

left, right = right, left

Is this considered the standard way to swap

相关标签:
7条回答
  • 2020-11-22 00:13

    You can combine tuple and XOR swaps: x, y = x ^ x ^ y, x ^ y ^ y

    x, y = 10, 20
    
    print('Before swapping: x = %s, y = %s '%(x,y))
    
    x, y = x ^ x ^ y, x ^ y ^ y
    
    print('After swapping: x = %s, y = %s '%(x,y))
    

    or

    x, y = 10, 20
    
    print('Before swapping: x = %s, y = %s '%(x,y))
    
    print('After swapping: x = %s, y = %s '%(x ^ x ^ y, x ^ y ^ y))
    

    Using lambda:

    x, y = 10, 20
    
    print('Before swapping: x = %s, y = %s' % (x, y))
    
    swapper = lambda x, y : ((x ^ x ^ y), (x ^ y ^ y))
    
    print('After swapping: x = %s, y = %s ' % swapper(x, y))
    

    Output:

    Before swapping: x =  10 , y =  20
    After swapping: x =  20 , y =  10
    
    0 讨论(0)
  • 2020-11-22 00:15

    I know three ways to swap variables, but a, b = b, a is the simplest. There is

    XOR (for integers)

    x = x ^ y
    y = y ^ x
    x = x ^ y
    

    Or concisely,

    x ^= y
    y ^= x
    x ^= y
    

    Temporary variable

    w = x
    x = y
    y = w
    del w
    

    Tuple swap

    x, y = y, x
    
    0 讨论(0)
  • 2020-11-22 00:16

    To get around the problems explained by eyquem, you could use the copy module to return a tuple containing (reversed) copies of the values, via a function:

    from copy import copy
    
    def swapper(x, y):
      return (copy(y), copy(x))
    

    Same function as a lambda:

    swapper = lambda x, y: (copy(y), copy(x))
    

    Then, assign those to the desired names, like this:

    x, y = swapper(y, x)
    

    NOTE: if you wanted to you could import/use deepcopy instead of copy.

    0 讨论(0)
  • 2020-11-22 00:28

    Python evaluates expressions from left to right. Notice that while evaluating an assignment, the right-hand side is evaluated before the left-hand side.

    http://docs.python.org/3/reference/expressions.html#evaluation-order

    That means the following for the expression a,b = b,a :

    • the right-hand side b,a is evaluated, that is to say a tuple of two elements is created in the memory. The two element are the objects designated by the identifiers b and a, that were existing before the instruction is encoutered during an execution of program
    • just after the creation of this tuple, no assignement of this tuple object have still been made, but it doesn't matter, Python internally knows where it is
    • then, the left-hand side is evaluated, that is to say the tuple is assigned to the left-hand side
    • as the left-hand side is composed of two identifiers, the tuple is unpacked in order that the first identifier a be assigned to the first element of the tuple (which is the object that was formely b before the swap because it had name b)
      and the second identifier b is assigned to the second element of the tuple (which is the object that was formerly a before the swap because its identifiers was a)

    This mechanism has effectively swapped the objects assigned to the identifiers a and b

    So, to answer your question: YES, it's the standard way to swap two identifiers on two objects.
    By the way, the objects are not variables, they are objects.

    0 讨论(0)
  • 2020-11-22 00:30

    I would not say it is a standard way to swap because it will cause some unexpected errors.

    nums[i], nums[nums[i] - 1] = nums[nums[i] - 1], nums[i]
    

    nums[i] will be modified first and then affect the second variable nums[nums[i] - 1].

    0 讨论(0)
  • 2020-11-22 00:35

    Does not work for multidimensional arrays, because references are used here.

    import numpy as np
    
    # swaps
    data = np.random.random(2)
    print(data)
    data[0], data[1] = data[1], data[0]
    print(data)
    
    # does not swap
    data = np.random.random((2, 2))
    print(data)
    data[0], data[1] = data[1], data[0]
    print(data)
    

    See also Swap slices of Numpy arrays

    0 讨论(0)
提交回复
热议问题