根据序列中缺失的数字拆分列表

发布于 2024-09-08 01:10:03 字数 337 浏览 1 评论 0原文

我正在寻找最Pythonic的方法,根据序列中缺少的数字将数字列表拆分为更小的列表。例如,如果初始列表是:

seq1 = [1, 2, 3, 4, 6, 7, 8, 9, 10]

该函数将产生:

[[1, 2, 3, 4], [6, 7, 8, 9, 10]]

seq2 = [1, 2, 4, 5, 6, 8, 9, 10]

将导致:

[[1, 2], [4, 5, 6], [8, 9, 10]]

I am looking for the most pythonic way of splitting a list of numbers into smaller lists based on a number missing in the sequence. For example, if the initial list was:

seq1 = [1, 2, 3, 4, 6, 7, 8, 9, 10]

the function would yield:

[[1, 2, 3, 4], [6, 7, 8, 9, 10]]

or

seq2 = [1, 2, 4, 5, 6, 8, 9, 10]

would result in:

[[1, 2], [4, 5, 6], [8, 9, 10]]

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评论(6

初雪 2024-09-15 01:10:03

Python 文档 中的 Python 3 版本代码:

>>> # Find runs of consecutive numbers using groupby.  The key to the solution
>>> # is differencing with a range so that consecutive numbers all appear in
>>> # same group.
>>> from itertools import groupby
>>> from operator import itemgetter
>>> data = [ 1,  4,5,6, 10, 15,16,17,18, 22, 25,26,27,28]
>>> for k, g in groupby(enumerate(data), lambda i_x: i_x[0] - i_x[1]):
...     print(list(map(itemgetter(1), g)))
...
[1]
[4, 5, 6]
[10]
[15, 16, 17, 18]
[22]
[25, 26, 27, 28]

groupby 来自 itertools 模块的函数生成一个每次关键函数更改其返回值时都会中断。技巧在于返回值是列表中的数字减去列表中元素的位置。当数字存在差距时,这种差异就会发生变化。

itemgetter 函数来自 operator 模块 ,您必须导入它和 itertools 模块才能使该示例正常工作。

或者,作为列表理解:

>>> [map(itemgetter(1), g) for k, g in groupby(enumerate(seq2), lambda i_x: i_x[0] - i_x[1])]
[[1, 2], [4, 5, 6], [8, 9, 10]]

Python 3 version of the code from the old Python documentation:

>>> # Find runs of consecutive numbers using groupby.  The key to the solution
>>> # is differencing with a range so that consecutive numbers all appear in
>>> # same group.
>>> from itertools import groupby
>>> from operator import itemgetter
>>> data = [ 1,  4,5,6, 10, 15,16,17,18, 22, 25,26,27,28]
>>> for k, g in groupby(enumerate(data), lambda i_x: i_x[0] - i_x[1]):
...     print(list(map(itemgetter(1), g)))
...
[1]
[4, 5, 6]
[10]
[15, 16, 17, 18]
[22]
[25, 26, 27, 28]

The groupby function from the itertools module generates a break every time the key function changes its return value. The trick is that the return value is the number in the list minus the position of the element in the list. This difference changes when there is a gap in the numbers.

The itemgetter function is from the operator module, you'll have to import this and the itertools module for this example to work.

Alternatively, as a list comprehension:

>>> [map(itemgetter(1), g) for k, g in groupby(enumerate(seq2), lambda i_x: i_x[0] - i_x[1])]
[[1, 2], [4, 5, 6], [8, 9, 10]]
苄①跕圉湢 2024-09-15 01:10:03

这是一个适用于 Python 3 的解决方案(基于之前仅适用于 python 2 的答案)。

>>> from operator import itemgetter
>>> from itertools import *
>>> groups = []
>>> for k, g in groupby(enumerate(seq2), lambda x: x[0]-x[1]):
>>>     groups.append(list(map(itemgetter(1), g)))
... 
>>> print(groups)
[[1, 2], [4, 5, 6], [8, 9, 10]]

或作为列表理解

>>> [list(map(itemgetter(1), g)) for k, g in groupby(enumerate(seq2), lambda x: x[0]-x[1])]
[[1, 2], [4, 5, 6], [8, 9, 10]]

需要进行更改,因为

  • 删除元组参数解包 PEP 3113
  • map 返回迭代器而不是列表

This is a solution that works in Python 3 (based on previous answers that work in python 2 only).

>>> from operator import itemgetter
>>> from itertools import *
>>> groups = []
>>> for k, g in groupby(enumerate(seq2), lambda x: x[0]-x[1]):
>>>     groups.append(list(map(itemgetter(1), g)))
... 
>>> print(groups)
[[1, 2], [4, 5, 6], [8, 9, 10]]

or as a list comprehension

>>> [list(map(itemgetter(1), g)) for k, g in groupby(enumerate(seq2), lambda x: x[0]-x[1])]
[[1, 2], [4, 5, 6], [8, 9, 10]]

Changes were needed because

  • Removal of tuple parameter unpacking PEP 3113
  • map returning an iterator instead of a list
浅语花开 2024-09-15 01:10:03

另一个不需要 itertools 等的选项:

>>> data = [1, 4, 5, 6, 10, 15, 16, 17, 18, 22, 25, 26, 27, 28]
>>> spl = [0]+[i for i in range(1,len(data)) if data[i]-data[i-1]>1]+[None]
>>> [data[b:e] for (b, e) in [(spl[i-1],spl[i]) for i in range(1,len(spl))]]
... [[1], [4, 5, 6], [10], [15, 16, 17, 18], [22], [25, 26, 27, 28]]

Another option which doesn't need itertools etc.:

>>> data = [1, 4, 5, 6, 10, 15, 16, 17, 18, 22, 25, 26, 27, 28]
>>> spl = [0]+[i for i in range(1,len(data)) if data[i]-data[i-1]>1]+[None]
>>> [data[b:e] for (b, e) in [(spl[i-1],spl[i]) for i in range(1,len(spl))]]
... [[1], [4, 5, 6], [10], [15, 16, 17, 18], [22], [25, 26, 27, 28]]
只有影子陪我不离不弃 2024-09-15 01:10:03

我的方式

alist = [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]
newlist = []
start = 0
end = 0
for index,value in enumerate(alist):
    if index < len(alist)-1:
        if alist[index+1]> value+1:
            end = index +1
            newlist.append(alist[start:end])
            start = end
    else:
            newlist.append(alist[start: len(alist)])
print(newlist)

结果

[[1, 2, 3, 4, 5, 6, 7, 8], [10, 11, 12], [15, 16, 17, 18], [20, 21, 22]]

My way

alist = [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]
newlist = []
start = 0
end = 0
for index,value in enumerate(alist):
    if index < len(alist)-1:
        if alist[index+1]> value+1:
            end = index +1
            newlist.append(alist[start:end])
            start = end
    else:
            newlist.append(alist[start: len(alist)])
print(newlist)

Result

[[1, 2, 3, 4, 5, 6, 7, 8], [10, 11, 12], [15, 16, 17, 18], [20, 21, 22]]
陪我终i 2024-09-15 01:10:03

我更喜欢这个,因为它不需要任何额外的库或对第一种情况进行特殊处理:

a = [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]
b = []
subList = []
prev_n = -1

for n in a:
    if prev_n+1 != n:            # end of previous subList and beginning of next
        if subList:              # if subList already has elements
            b.append(subList)
            subList = []
    subList.append(n)
    prev_n = n

if subList:
    b.append(subList)

print a
print b

输出:

[1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]

[[1, 2, 3, 4, 5, 6, 7, 8], [10, 11, 12], [15, 16, 17, 18], [20, 21, 22]]

I like this one better because it doesn't require any extra libraries or special treatment for first case:

a = [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]
b = []
subList = []
prev_n = -1

for n in a:
    if prev_n+1 != n:            # end of previous subList and beginning of next
        if subList:              # if subList already has elements
            b.append(subList)
            subList = []
    subList.append(n)
    prev_n = n

if subList:
    b.append(subList)

print a
print b

Output:

[1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 18, 20, 21, 22]

[[1, 2, 3, 4, 5, 6, 7, 8], [10, 11, 12], [15, 16, 17, 18], [20, 21, 22]]

呆头 2024-09-15 01:10:03

使用 numpy 的简短单行:

seq2 = [1, 2, 4, 5, 6, 8, 9, 10]
np.split(seq2, np.where(np.diff(seq2) > 1)[0] + 1)

结果:

[array([1, 2]), array([4, 5, 6]), array([ 8,  9, 10])]

Short one-liner using numpy:

seq2 = [1, 2, 4, 5, 6, 8, 9, 10]
np.split(seq2, np.where(np.diff(seq2) > 1)[0] + 1)

Result:

[array([1, 2]), array([4, 5, 6]), array([ 8,  9, 10])]
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