How to take the first N items from a generator or list?
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Chapters
00:00 How To Take The First N Items From A Generator Or List?
00:17 Accepted Answer Score 728
01:11 Answer 2 Score 153
01:23 Answer 3 Score 67
02:05 Answer 4 Score 52
02:37 Answer 5 Score 22
03:04 Thank you
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Full question
https://stackoverflow.com/questions/5234...
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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
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Tags
#python #list #generator
#avk47
ACCEPTED ANSWER
Score 738
Slicing a list
top5 = array[:5]
- To slice a list, there's a simple syntax:
array[start:stop:step] - You can omit any parameter. These are all valid:
array[start:],array[:stop],array[::step]
Slicing a generator
import itertools
top5 = itertools.islice(my_list, 5) # grab the first five elements
You can't slice a generator directly in Python.
itertools.islice()will wrap an object in a new slicing generator using the syntaxitertools.islice(generator, start, stop, step)Remember, slicing a generator will exhaust it partially. If you want to keep the entire generator intact, perhaps turn it into a tuple or list first, like:
result = tuple(generator)
ANSWER 2
Score 155
import itertools
top5 = itertools.islice(array, 5)
ANSWER 3
Score 52
In my taste, it's also very concise to combine zip() with xrange(n) (or range(n) in Python3), which works nice on generators as well and seems to be more flexible for changes in general.
# Option #1: taking the first n elements as a list
[x for _, x in zip(xrange(n), generator)]
# Option #2, using 'next()' and taking care for 'StopIteration'
[next(generator) for _ in xrange(n)]
# Option #3: taking the first n elements as a new generator
(x for _, x in zip(xrange(n), generator))
# Option #4: yielding them by simply preparing a function
# (but take care for 'StopIteration')
def top_n(n, generator):
for _ in xrange(n):
yield next(generator)
ANSWER 4
Score 22
The answer for how to do this can be found here
>>> generator = (i for i in xrange(10))
>>> list(next(generator) for _ in range(4))
[0, 1, 2, 3]
>>> list(next(generator) for _ in range(4))
[4, 5, 6, 7]
>>> list(next(generator) for _ in range(4))
[8, 9]
Notice that the last call asks for the next 4 when only 2 are remaining. The use of the list() instead of [] is what gets the comprehension to terminate on the StopIteration exception that is thrown by next().