“列表理解"是什么意思?和类似的意思?它是如何工作的，我该如何使用它?

问题描述

我有以下代码:

[x ** 2 for x in range(10)]

当我在 Python shell 中运行它时，它会返回:

When I run it in the Python shell, it returns:

[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

我已经搜索过，这似乎被称为 列表推导，类似地，似乎有 set/dict 推导和生成器表达式.但它是如何工作的呢?

I've searched and it seems this is called a list comprehension and similarly there seem to be set/dict comprehensions and generator expressions. But how does it work?

推荐答案

来自文档:

列表推导式提供了一种创建列表的简洁方式.常见的应用是创建新列表，其中每个元素是应用于另一个序列或可迭代的每个成员的某些操作的结果，或者创建满足特定条件的那些元素的子序列.

List comprehensions provide a concise way to create lists. Common applications are to make new lists where each element is the result of some operations applied to each member of another sequence or iterable, or to create a subsequence of those elements that satisfy a certain condition.

<小时>

关于您的问题，列表推导与以下普通"Python 代码的作用相同:

About your question, the list comprehension does the same thing as the following "plain" Python code:

>>> l = [] 
>>> for x in range(10):
...     l.append(x**2)
>>> l
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

如何在一行中写出来?嗯...我们可以...可能...使用 map() 与 lambda:

How do you write it in one line? Hmm...we can...probably...use map() with lambda:

>>> list(map(lambda x: x**2, range(10)))
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

但是仅仅使用列表推导不是更清晰更简单吗?

But isn't it clearer and simpler to just use a list comprehension?

>>> [x**2 for x in range(10)]
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

<小时>

基本上，我们可以用 x 做任何事情.不仅是 x**2.比如运行一个x的方法:

Basically, we can do anything with x. Not only x**2. For example, run a method of x:

>>> [x.strip() for x in ('foo
', 'bar
', 'baz
')]
['foo', 'bar', 'baz']

或者使用 x 作为另一个函数的参数:

Or use x as another function's argument:

>>> [int(x) for x in ('1', '2', '3')]
[1, 2, 3]

例如，我们也可以使用 x 作为 dict 对象的键.让我们看看:

We can also, for example, use x as the key of a dict object. Let's see:

>>> d = {'foo': '10', 'bar': '20', 'baz': '30'}
>>> [d[x] for x in ['foo', 'baz']]
['10', '30']

组合怎么样?

>>> d = {'foo': '10', 'bar': '20', 'baz': '30'}
>>> [int(d[x].rstrip('0')) for x in ['foo', 'baz']]
[1, 3]

等等.

您还可以在列表推导中使用 if 或 if...else.例如，您只需要 range(10) 中的奇数.你可以这样做:

You can also use if or if...else in a list comprehension. For example, you only want odd numbers in range(10). You can do:

>>> l = []
>>> for x in range(10):
...     if x%2:
...         l.append(x)
>>> l
[1, 3, 5, 7, 9]

啊，这太复杂了.下面的版本呢?

Ah that's too complex. What about the following version?

>>> [x for x in range(10) if x%2]
[1, 3, 5, 7, 9]

要使用 if...else 三元表达式，您需要将 if ... else ... 放在 x 之后，range(10)之后的不是:

To use an if...else ternary expression, you need put the if ... else ... after x, not after range(10):

>>> [i if i%2 != 0 else None for i in range(10)]
[None, 1, None, 3, None, 5, None, 7, None, 9]

<小时>

您听说过 嵌套列表理解?您可以将两个或多个for 放在一个列表推导中.例如:

>>> [i for x in [[1, 2, 3], [4, 5, 6]] for i in x]
[1, 2, 3, 4, 5, 6]

>>> [j for x in [[[1, 2], [3]], [[4, 5], [6]]] for i in x for j in i]
[1, 2, 3, 4, 5, 6]

>>> [j for j in x for x in [[1, 2, 3], [4, 5, 6]]]
Traceback (most recent call last):
  File "<input>", line 1, in <module>
NameError: name 'x' is not defined

>>> {x for x in [1, 1, 2, 3, 3, 1]}
{1, 2, 3}

>>> set([i for i in [1, 1, 2, 3, 3, 1]])
{1, 2, 3}

>>> {i: i**2 for i in range(5)}
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}

>>> d = {}
>>> for i in range(5):
...     d[i] = i**2
>>> d
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}

>>> (i for i in range(5))
<generator object <genexpr> at 0x7f52703fbca8>

>>> def gen():
...     for i in range(5):
...         yield i
>>> gen()
<generator object gen at 0x7f5270380db0>

>>> gen = (i for i in range(5))
>>> next(gen)
0
>>> next(gen)
1
>>> list(gen)
[2, 3, 4]
>>> next(gen)
Traceback (most recent call last):
  File "<input>", line 1, in <module>
StopIteration

>>> sum(i**2 for i in range(5))
30