http://stackoverflow.com/questions/231767/the-python-yield-keyword-explained
This would be the best explanation.
To understand what
To master
Then, your code will be run each time the
Now the hard part:
The first time your function will run, it will run from the beginning until it hits
The generator is considered empty once the function runs but does not hit yield anymore. It can be because the loop had come to ends, or because you do not satisfy a "if/else" anymore.
This would be the best explanation.
To understand what
yield
does, you must understand what generators are. And before generators come iterables.Iterables
When you create a list, you can read its items one by one, and it's called iteration:>>> mylist = [1, 2, 3]
>>> for i in mylist:
... print(i)
1
2
3
Mylist is an iterable. When you use a comprehension list, you create a list, and so an iterable:>>> mylist = [x*x for x in range(3)]
>>> for i in mylist:
... print(i)
0
1
4
Everything you can use "for... in..." on is an iterable: lists,
strings, files...
These iterables are handy because you can read them as much as you wish,
but you store all the values in memory and it's not always what you
want when you have a lot of values.Generators
Generators are iterables, but you can only read them once. It's because they do not store all the values in memory, they generate the values on the fly:>>> mygenerator = (x*x for x in range(3))
>>> for i in mygenerator:
... print(i)
0
1
4
It just the same except you used ()
instead of []
. BUT, you can not perform for i in mygenerator
a second time since generators can only be used once: they calculate 0,
then forget about it and calculate 1 and ends calculating 4, one by
one.Yield
Yield
is a keyword that is used like return
, except the function will return a generator.>>> def createGenerator():
... mylist = range(3)
... for i in mylist:
... yield i*i
...
>>> mygenerator = createGenerator() # create a generator
>>> print(mygenerator) # mygenerator is an object!
<generator object createGenerator at 0xb7555c34>
>>> for i in mygenerator:
... print(i)
0
1
4
Here it's a useless example, but it's handy when you know your
function will return a huge set of values that you will only need to
read once.To master
yield
, you must understand that when you call the function, the code you have written in the function body does not run. The function only returns the generator object, this is bit tricky :-)Then, your code will be run each time the
for
uses the generator.Now the hard part:
The first time your function will run, it will run from the beginning until it hits
yield
,
then it'll return the first value of the loop. Then, each other call
will run the loop you have written in the function one more time, and
return the next value, until there is no value to return.The generator is considered empty once the function runs but does not hit yield anymore. It can be because the loop had come to ends, or because you do not satisfy a "if/else" anymore.
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