i need a efficient way of getting the nth smallest number AND its index in a list containing up to 15000 enties (so speed is not super crucial).
I sadly can't use numpy or any other non-standard library.
Im using Python 2.7
use heapq.nsmallest
(and enumerate
to get the index):
nums = [random.randint(1,1000000) for _ in range(10000)]
import heapq
import operator
heapq.nsmallest(10,enumerate(nums),key=operator.itemgetter(1))
Out[26]:
[(5544, 35),
(1702, 43),
(6547, 227),
(1540, 253),
(4919, 360),
(7993, 445),
(1608, 495),
(5832, 505),
(1388, 716),
(5103, 814)]
Use enumerate
to store the original position, then sort by the value:
original_list = [36, 44, 23, 24, 47, 19, 49, 36, 30, 3]
sorted_lookup = sorted(enumerate(original_list), key=lambda i:i[1])
position, value = sorted_lookup[4] # 4 is my "n"
sorted_lookup in my example is:
[(9, 3), (5, 19), (2, 23), (3, 24), (8, 30), (0, 36), (7, 36), (1, 44), (4, 47), (6, 49)]
And position
is 8
, value
is 30
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