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  • python 排序

    Sorting Basics

    A simple ascending sort is very easy: just call the sorted() function. It returns a new sorted list:

    >>>
    >>> sorted([5, 2, 3, 1, 4])
    [1, 2, 3, 4, 5]
    

    You can also use the list.sort() method. It modifies the list in-place (and returns None to avoid confusion). Usually it’s less convenient than sorted() - but if you don’t need the original list, it’s slightly more efficient.

    >>>
    >>> a = [5, 2, 3, 1, 4]
    >>> a.sort()
    >>> a
    [1, 2, 3, 4, 5]
    

    Another difference is that the list.sort() method is only defined for lists. In contrast, the sorted() function accepts any iterable.

    >>>
    >>> sorted({1: 'D', 2: 'B', 3: 'B', 4: 'E', 5: 'A'})
    [1, 2, 3, 4, 5]
    

    Key Functions

    Both list.sort() and sorted() have a key parameter to specify a function (or other callable) to be called on each list element prior to making comparisons.

    For example, here’s a case-insensitive string comparison:

    >>>
    >>> sorted("This is a test string from Andrew".split(), key=str.lower)
    ['a', 'Andrew', 'from', 'is', 'string', 'test', 'This']
    

    The value of the key parameter should be a function (or other callable) that takes a single argument and returns a key to use for sorting purposes. This technique is fast because the key function is called exactly once for each input record.

    A common pattern is to sort complex objects using some of the object’s indices as keys. For example:

    >>>
    >>> student_tuples = [
    ...     ('john', 'A', 15),
    ...     ('jane', 'B', 12),
    ...     ('dave', 'B', 10),
    ... ]
    >>> sorted(student_tuples, key=lambda student: student[2])   # sort by age
    [('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]


    Ascending and Descending #升序和降序

    Both list.sort() and sorted() accept a reverse parameter with a boolean value. This is used to flag descending sorts. For example, to get the student data in reverse age order:

    >>>
    >>> sorted(student_tuples, key=itemgetter(2), reverse=True)
    [('john', 'A', 15), ('jane', 'B', 12), ('dave', 'B', 10)]
    
    >>>
    >>> sorted(student_objects, key=attrgetter('age'), reverse=True)
    [('john', 'A', 15), ('jane', 'B', 12), ('dave', 'B', 10)]
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  • 原文地址:https://www.cnblogs.com/shamoguzhou/p/15209827.html
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