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Python列表生成式12个小功能,你常用哪几个?
2019-11-27
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Python列表生成式12个小功能,你常用哪几个?

作者 | zglg

来源 | Python与算法社区

python里[] 表示一个列表,对容器类型的数据进行运算和操作,生成新的列表最高效、快速的办法,就是列表生成式。

它优雅、简洁,值得大家多多使用!今天盘点列表生成式在工作中的主要使用场景。

入门

1

range快速生成连续列表

In [1]: a = range(11)
In [2]: a
Out[2]: range(0, 11)
In [3]: list(a)
Out[3]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

2

对列表里面的数据进行运算后重新生成一个新的列表:

In [5]: a = range(0,11)
In [6]: b = [x**2 for x in a]
In [7]: b
Out[7]: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100]

3

对一个列表里面的数据筛选,只计算[0,11) 中偶数的平方:

In [10]: a = range(11)
In [11]: c = [x**2 for x in a if x%2==0]
In [12]: c
Out[12]: [0, 4, 16, 36, 64, 100]

4

前面列表生成式都只传一个参数x,带有两个参数的运算:

In [13]: a = range(5)
In [14]: b = ['a','b','c','d','e']
In [20]: c = [str(y) + str(x) for x, y in zip(a,b)]
In [21]: c
Out[21]: ['a0', 'b1', 'c2', 'd3', 'e4']

5

结合字典,打印键值对:

In [22]: a = {'a':1,'b':2,'c':3}
In [23]: b = [k+ '=' + v for k, v in a.items()]
In [24]: b = [k+ '=' + str(v) for k, v in a.items()]
In [25]: b
Out[25]: ['a=1', 'b=2', 'c=3']

6

输出某个目录下的所有文件和文件夹的名称:

In [33]: [d for d in os.listdir('d:/summary')]

Out[33]: ['a.txt.txt', 'python-100']

7

列表中所有单词都转化为小写:

In [34]: a = ['Hello', 'World', '2019Python']
In [35]: [w.lower() for w in a]
Out[35]: ['hello', 'world', '2019python']
Python列表生成式12个小功能,你常用哪几个?

进阶

8

将值分组:

In [36]: def bifurcate(lst, filter):
 ...: return [
 ...: [x for i,x in enumerate(lst) if filter[i] == True],
 ...: [x for i,x in enumerate(lst) if filter[i] == False]
 ...: ]
 ...:
In [37]: bifurcate(['beep', 'boop', 'foo', 'bar'], [True, True, False, True])
Out[37]: [['beep', 'boop', 'bar'], ['foo']]

9

进一步抽象例子8,根据指定函数fn 对lst 分组:

In [38]: def bifurcate_by(lst, fn):
 ...: return [
 ...: [x for x in lst if fn(x)],
 ...: [x for x in lst if not fn(x)]
 ...: ]
 ...:
In [39]: bifurcate_by(['beep', 'boop', 'foo', 'bar'], lambda x: x[0] == 'b')
Out[39]: [['beep', 'boop', 'bar'], ['foo']]

10

返回可迭代对象的差集,注意首先都把a, b用set 包装

In [53]: def difference(a, b):

...: _a, _b =set(a),set(b)

...: return [item for item in _a if item not in _b]

...:

...:

In [54]: difference([1,1,2,3,3], [1, 2, 4])

Out[54]: [3]

11

进一步抽象10,根据函数fn 映射后选取差集,如下列表元素分别为单个元素和字典的例子:

In [61]: def difference_by(a, b, fn):

...: ...: _b = set(map(fn, b))

...: ...: return [item for item in a if fn(item) not in _b]

...: ...:

...:

In [62]: from math import floor

...: difference_by([2.1, 1.2], [2.3, 3.4],floor)

Out[62]: [1.2]

In [63]: difference_by([{ 'x': 2 }, { 'x': 1 }], [{ 'x': 1 }], lambda v : v['x'])

Out[63]: [{'x': 2}]

12

过滤非重复值,结合list 的count( 统计出元素在列表中出现次数):

In [64]: def filter_non_unique(lst):
 ...: return [item for item in lst if lst.count(item) == 1]
In [65]: filter_non_unique([1, 2, 2, 3, 4, 4, 5])
Out[65]: [1, 3, 5]

熟练操作以上12个例子,就算掌握python 中非常有用的列表生成式。

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