我有一个整数列表......
[1,2,3,4,5,8,9,10,11,200,201,202]
我想将它们分组到一个列表列表中,其中每个子列表包含其序列尚未被破坏的整数。像这样......
[[1,5],[8,11],[200,202]]
我有一个相当笨重的工作...
lSequenceOfNum = [1,2,3,4,5,8,9,10,11,200,201,202]
lGrouped = []
start = 0
for x in range(0,len(lSequenceOfNum)):
if x != len(lSequenceOfNum)-1:
if(lSequenceOfNum[x+1] - lSequenceOfNum[x]) > 1:
lGrouped.append([lSequenceOfNum[start],lSequenceOfNum[x]])
start = x+1
else:
lGrouped.append([lSequenceOfNum[start],lSequenceOfNum[x]])
print lGrouped
这是我能做的最好的事情。是否有更“pythonic”的方式来做到这一点?感谢..
答案 0 :(得分:12)
假设列表将始终按升序排列:
from itertools import groupby, count
numberlist = [1,2,3,4,5,8,9,10,11,200,201,202]
def as_range(g):
l = list(g)
return l[0], l[-1]
print [as_range(g) for _, g in groupby(numberlist, key=lambda n, c=count(): n-next(c))]
答案 1 :(得分:4)
我意识到我有点过于复杂,比使用稍微复杂的发电机更容易手动计算:
def ranges(seq):
start, end = seq[0], seq[0]
count = start
for item in seq:
if not count == item:
yield start, end
start, end = item, item
count = item
end = item
count += 1
yield start, end
print(list(ranges([1,2,3,4,5,8,9,10,11,200,201,202])))
产:
[(1, 5), (8, 11), (200, 202)]
这种方法非常快:
这种方法(和旧方法一样,它们的表现几乎完全相同):
python -m timeit -s "from test import ranges" "ranges([1,2,3,4,5,8,9,10,11,200,201,202])"
1000000 loops, best of 3: 0.47 usec per loop
python -m timeit -s "from test import as_range; from itertools import groupby, count" "[as_range(g) for _, g in groupby([1,2,3,4,5,8,9,10,11,200,201,202], key=lambda n, c=count(): n-next(c))]"
100000 loops, best of 3: 11.1 usec per loop
速度提高了20倍 - 当然,除非速度很重要,否则这不是真正的问题。
我使用生成器的旧解决方案:
import itertools
def resetable_counter(start):
while True:
for i in itertools.count(start):
reset = yield i
if reset:
start = reset
break
def ranges(seq):
start, end = seq[0], seq[0]
counter = resetable_counter(start)
for count, item in zip(counter, seq): #In 2.x: itertools.izip(counter, seq)
if not count == item:
yield start, end
start, end = item, item
counter.send(item)
end = item
yield start, end
print(list(ranges([1,2,3,4,5,8,9,10,11,200,201,202])))
产:
[(1, 5), (8, 11), (200, 202)]
答案 2 :(得分:2)
您可以通过三个步骤有效地完成此任务
给定的
list1=[1,2,3,4,5,8,9,10,11,200,201,202]
计算不连续性
[1,2,3,4,5,8,9,10,11 ,200,201,202]
- [1,2,3,4,5,8,9 ,10 ,11 ,200,201,202]
----------------------------------------
[1,1,1,1,3,1,1 ,1 ,189,1 ,1]
(index) 1 2 3 4 5 6 7 8 9 10 11
* *
rng = [i+1 for i,e in enumerate((x-y for x,y in zip(list1[1:],list1))) if e!=1]
>>> rng
[5, 9]
添加边界
rng = [0] + rng + [len(list1)]
>>> rng
[0, 5, 9,12]
现在计算实际的连续性范围
[(list1[i],list1[j-1]) for i,j in zip(list2,list2[1:])]
[(1, 5), (8, 11), (200, 202)]
LB [0, 5, 9, 12]
UB [0, 5, 9, 12]
-----------------------
indexes (LB,UB-1) (0,4) (5,8) (9,11)
答案 3 :(得分:1)
这个问题已经很老了,但我还是认为我会分享我的解决方案
假设 $(data).each(function(){
console.log(this.chart_data);
console.log(this.chart_data.pop());
var end = (this.chart_data).pop();
ret.push({
name: this.name,
y: end['y'],
link: this.link,
color: chart_colours[i]
});
i++;
});
import numpy as np
答案 4 :(得分:0)
伪代码(需要修复一个错误):
jumps = new array;
for idx from 0 to len(array)
if array[idx] != array[idx+1] then jumps.push(idx);
我认为这实际上是一种情况,使用索引(如在C中,在java / python / perl / etc之前改进之前)而不是数组中的对象是有意义的。
答案 5 :(得分:0)
这是一个易于阅读的版本:
def close_range(el, it):
while True:
el1 = next(it, None)
if el1 != el + 1:
return el, el1
el = el1
def compress_ranges(seq):
iterator = iter(seq)
left = next(iterator, None)
while left is not None:
right, left1 = close_range(left, iterator)
yield (left, right)
left = left1
list(compress_ranges([1, 2, 3, 4, 5, 8, 9, 10, 11, 200, 201, 202]))
答案 6 :(得分:0)
类似的问题:
Python - find incremental numbered sequences with a list comprehension
Pythonic way to convert a list of integers into a string of comma-separated ranges
input = [1, 2, 3, 4, 8, 10, 11, 12, 17]
i, ii, result = iter(input), iter(input[1:]), [[input[0]]]
for x, y in zip(i,ii):
if y-x != 1:
result.append([y])
else:
result[-1].append(y)
>>> result
[[1, 2, 3, 4], [8], [10, 11, 12], [17]]
>>> print ", ".join("-".join(map(str,(g[0],g[-1])[:len(g)])) for g in result)
1-4, 8, 10-12, 17
>>> [(g[0],g[-1])[:len(g)] for g in result]
[(1, 4), (8,), (10, 12), (17,)]