blocks|key|401057|text|“根据Q为真的Y和Z构造X的列表。”|type|unstyled|depth|inlineStyleRanges|entityRanges|data|401058|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

"Construct a list of X's based on Y's and Z's for which Q is true."

blocks|key|3436278|text|我通常会在脑海中将其展开为一个生成循环，例如|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3436279|[(x,+y)+for+x+in+[1,2,3]+for+y+in+[3,1,4]+if+x+!=+y]|code-block|syntax|javascript|3436280|是生成器的列表理解。|3436281|for+x+in+[1,2,3]:
++++for+y+in+[3,1,4]:
++++++++if+x+!=+y:
++++++++++++yield+(x,+y)|3436282|3436283|示例#1|3436284|[x+for+b+in+a+for+x+in+b]是对|offset|length|style|CODE|3436285|for+b+in+a:
++++for+x+in+b:
++++++++yield+x|3436286|a+=+[[1,2,3],[4,5,6]]的示例结果：[1,+2,+3,+4,+5,+6]|3436287|3436288|示例#2|3436289|[[row[i]+for+row+in+matrix]+for+i+in+range(4)]+(注意，内部表达式是另一种理解！)：|3436290|for+i+in+range(4):
++++yield+[row[i]+for+row+in+matrix]|3436291|它是展开的|3436292|for+i+in+range(4):
++++l+=+[]

++++for+row+in+matrix:
++++++++l.append(row[i])

++++yield+l|3436293|entityMap^0|0|0|0|0|0|0|0|P|0|0|0|L|R|I|0|0|0|0|1A|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1B|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1C|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|1D|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|1E|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1F|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1G|8|@$P|1H|Q|1I|R|S]]|9|@]|A|$]]|$1|T|3|U|5|D|7|1J|8|@]|9|@]|A|$E|F]]|$1|V|3|W|5|6|7|1K|8|@$P|1L|Q|1M|R|S]|$P|1N|Q|1O|R|S]]|9|@]|A|$]]|$1|X|3|-4|5|6|7|1P|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|10|3|11|5|6|7|1R|8|@$P|1S|Q|1T|R|S]]|9|@]|A|$]]|$1|12|3|13|5|D|7|1U|8|@]|9|@]|A|$E|F]]|$1|14|3|15|5|6|7|1V|8|@]|9|@]|A|$]]|$1|16|3|17|5|D|7|1W|8|@]|9|@]|A|$E|F]]|$1|18|3|-4|5|6|7|1X|8|@]|9|@]|A|$]]]|19|$]]

I usually unfold it in my mind into a generating loop, so for example
<pre><code>[(x, y) for x in [1,2,3] for y in [3,1,4] if x != y]
</code></pre>
is the list comprehension for the generator
<pre><code>for x in [1,2,3]:
 for y in [3,1,4]:
 if x != y:
 yield (x, y)
</code></pre>
<hr />
<h2>Example #1</h2>
<code>[x for b in a for x in b]</code> is the comprehension for
<pre><code>for b in a:
 for x in b:
 yield x
</code></pre>
Example result for <code>a = [[1,2,3],[4,5,6]]</code>: <code>[1, 2, 3, 4, 5, 6]</code>
<hr />
<h2>Example #2</h2>
<code>[[row[i] for row in matrix] for i in range(4)]</code> (note the inner expression is another comprehension!):
<pre><code>for i in range(4):
 yield [row[i] for row in matrix]
</code></pre>
which is unfolded
<pre><code>for i in range(4):
 l = []

 for row in matrix:
 l.append(row[i])

 yield l
</code></pre>

My question is about Python List Comprehension readability. When I come across code with complex/nested list comprehensions, I find that I have to re-read them several times in order to understand the intent.

Is there an intuitive way to read aloud list comprehensions? Seems like I should start "reading" from the middle, then read the if conditions (if any), and read the expression last.

Here's how I would read the follow line of code aloud, in order to understand it:

<pre><code>[(x, y) for x in [1,2,3] for y in [3,1,4] if x != y]
</code></pre>

"For each element in List x, and each element in List y, if the two elements are not the same, create a list of tuples."

Two examples that I am struggling with:
How would you read the following List Comprehensions aloud?

<ol>
<li>From another question in Stack Overflow: <code>[x for b in a for x in b]</code></li>
<li>Python docs has this example:
<code>[[row[i] for row in matrix] for i in range(4)]</code></li>
</ol>

Any suggestions or pointers for ways to read aloud list comprehensions such that the intention becomes clearer is much appreciated.

How to read aloud Python List Comprehensions?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我的问题是关于Python 列表理解的可读性。当我遇到带有复杂/嵌套列表理解的代码时，我发现我必须重新阅读它们几次才能理解其意图。有没有一种直观的方法来朗读列表理解？似乎我应该从中间开始“阅读”，然后阅读if条件(如果有)，最后阅读表达式。下面是我如何朗读下面这行代码，以便理解它：[(x, y) for x in [1...

问如何朗读Python列表理解？
EN

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问如何朗读Python列表理解？EN