[英]Splitting list of integers such that they result in sublists with minimum difference
How would I split list of integers such that I would have them in sublists with minimum difference?我将如何拆分整数列表,以便将它们放在具有最小差异的子列表中?
For example例如
[4,1,5,3] --> [[1], [3,4,5]], length 2 [4,1,5,3] --> [[1], [3,4,5]], 长度 2
[4,2,1,3] --> [[1,2,3,4]], length 1 [4,2,1,3] --> [[1,2,3,4]],长度为1
[5,2,7,6,3,9] --> [[2,3], [5,6], [9]], length 3 [5,2,7,6,3,9] --> [[2,3], [5,6], [9]], 长度 3
[1,2,3,4,5,6,8,9,10] --> [[1,2,3,4,5,6], [8,9,10]], length 2. [1,2,3,4,5,6,8,9,10] --> [[1,2,3,4,5,6], [8,9,10]],长度为2。
Current approach is目前的做法是
def split(l):
res = []
n = len(l)
l.sort()
# If the list is just consecutive integers return 1
if l == list(range(min(l), max(l)+1)):
return 1
for l0, l1 in zip(l, l[1:]):
if abs(l0 - l1) <= 1:
res.append([l0, l1])
return len(res)
this works for the first three cases well, but the last one fails... I think the problem is that in the loop I'm just conditioning by the difference of the two consecutive integers...这适用于前三种情况,但最后一种失败了......我认为问题是在循环中我只是通过两个连续整数的差异来调节......
If you are allowed to use external packages more_itertools
have split_when method which can what you want:如果您被允许使用外部包,
more_itertools
有split_when方法可以满足您的需求:
import more_itertools
lst = [1,2,3,4,5,6,8,9,10]
lst.sort()
splitted = list(more_itertools.split_when(lst, lambda x, y: abs(x-y) > 1))
print(splitted)
Output:输出:
[[1, 2, 3, 4, 5, 6], [8, 9, 10]]
I would just check if the difference between 2 numbers is bigger than 1:我只想检查两个数字之间的差异是否大于 1:
def mySplit(lst):
res = []
lst.sort()
subList = [lst[0]]
for i in range(1, len(lst)):
prev, cur = lst[i-1], lst[i]
if cur - prev > 1:
res.append(subList)
subList = []
subList.append(cur)
res.append(subList)
return res
tests = ([4,1,5,3], [4,2,1,3], [5,2,7,6,3,9], [1,2,3,4,5,6,8,9,10,13])
for test in tests:
print(mySplit(test))
Out:出去:
[[1], [3, 4, 5]]
[[1, 2, 3, 4]]
[[2, 3], [5, 6, 7], [9]]
[[1, 2, 3, 4, 5, 6], [8, 9, 10], [13]]
Very fast-running and short solution using numpy
:使用
numpy
快速运行和简短的解决方案:
(once install numpy using python -m pip install numpy
). (一旦使用
python -m pip install numpy
)。
import numpy as np
for l in [
[4,1,5,3],
[4,2,1,3],
[5,2,7,6,3,9],
[1,2,3,4,5,6,8,9,10],
]:
a = np.sort(l)
res = np.split(a, np.flatnonzero(np.abs(np.diff(a)) > 1) + 1)
print('input', l, 'sorted', a, '\n', 'result', res)
Outputs:输出:
input [4, 1, 5, 3] sorted [1 3 4 5]
result [array([1]), array([3, 4, 5])]
input [4, 2, 1, 3] sorted [1 2 3 4]
result [array([1, 2, 3, 4])]
input [5, 2, 7, 6, 3, 9] sorted [2 3 5 6 7 9]
result [array([2, 3]), array([5, 6, 7]), array([9])]
input [1, 2, 3, 4, 5, 6, 8, 9, 10] sorted [ 1 2 3 4 5 6 8 9 10]
result [array([1, 2, 3, 4, 5, 6]), array([ 8, 9, 10])]
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