Python中的唯一子列表

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英文:

Unique sublists in Python

问题

我有一个包含许多子列表的列表D。我想识别唯一的子列表并移除重复的子列表。这里的唯一意味着无论特定元素的位置如何,所有元素都相同。但是我遇到了一个错误。以下是期望的输出。

D = [[0, 2, 3, 5], [1, 3, 4, 6], [2, 0, 3, 5], [4, 1, 3, 6]]

unique_sublists = []
for sublist in D:
    if sublist not in unique_sublists:
        unique_sublists.append(sublist)

print(unique_sublists)

错误是

in <module>
    E=D[i].unique

AttributeError: 'list' object has no attribute 'unique'

期望的输出是

[[0, 2, 3, 5], [1, 3, 4, 6]]
英文:

I have a list D containing many sublists. I want to identify unique sublists and remove the repeating ones. By unique, I mean all the elements are the same irrespective of the locations of specific elements. But I am getting an error. I present the expected output.

D=[[0, 2, 3, 5], [1, 3, 4, 6], [2, 0, 3, 5], [4, 1, 3, 6]]

for i in range(0,len(D)): 
    E=D[i].unique
    print(E)

The error is

in <module>
    E=D[i].unique

AttributeError: 'list' object has no attribute 'unique'

The expected output is

[[0, 2, 3, 5], [1, 3, 4, 6]]

答案1

得分: 3

你尚未准确定义“unique”的含义。如果子列表中没有重复项,那么可以执行类似以下操作:

def unique_sublists(data):
    seen = set()
    result = []
    for sub in data:
        uniq = frozenset(sub)
        if uniq not in seen:
            result.append(sub)
            seen add(uniq)
    return result

如果子列表中可以有重复项,可能需要类似以下操作:

def unique_sublists(data):
    from collections import Counter
    seen = set()
    result = []
    for sub in data:
        uniq = frozenset(Counter(sub).items())
        if uniq not in seen:
            result.append(sub)
            seen add(uniq)
    return result
英文:

You haven't defined what you mean by "unique" precisely enough. If there are no repeats in the sublists, then you can do something like:

def unique_sublists(data):
    seen = set()
    result = []
    for sub in data:
        uniq = frozenset(sub)
        if uniq not in seen:
            result.append(sub)
            seen.add(uniq)
    return result

If there can be repeats, you might need something like:

def unique_sublists(data):
    from collections import Counter
    seen = set()
    result = []
    for sub in data:
        uniq = frozenset(Counter(sub).items())
        if uniq not in seen:
            result.append(sub)
            seen.add(uniq)
    return result

答案2

得分: 1

你可以使用 set 来获取唯一的项。如果不关心顺序是否改变,你可以使用列表推导,对每个子列表进行排序,将其转换为元组以便进行哈希,然后最终将其转换为集合以去除重复项。

unique = set(tuple(sorted(a)) for a in D)
# 转换回列表
unique = [list(a) for a in unique]

如果你关心顺序,可以做类似的事情,但是创建一个字典以获取原始子列表。

unique = dict(zip([tuple(sorted(a)) for a in D], D)).values()
# 转换回列表
unique = [list(a) for a unique]
英文:

You can use set to get unique items. If you don't care if order is changed, you can use list comprehension that sorts each sublist, converts it to a tuple so that it can be hashed, and then finally convert it to a set to remove duplicates.

unique = set(tuple(sorted(a)) for a in D)
# convert back to lists
unique = [list(a) for a in unique]

If you do care about order, you can do a similar thing except make a dictionary to get the original sublist.

unique = dict(zip([tuple(sorted(a)) for a in D], D)).values()
# convert back to lists
unique = [list(a) for a in unique]

答案3

得分: 0

  1. 使用map来排序列表,然后使用set来移除重复的项。

list(set(map(lambda x: tuple(sorted(x)), D)))

  1. 这里使用临时列表,仅在项尚未添加时才添加。
out = []
for i in map(sorted, D):
    if i not in out: out.append(i)
英文:

There are multiple ways of doing this, I will add the two I came up with:

  1. Using map to order the lists and then set to remove the duplicated ones.

list(set(map(lambda x: tuple(sorted(x)), D)))

  1. Here using a temporary list to add only if the items have not been added yet.

    out = []
    for i in map(sorted, D):
        if i not in out: out.append(i)
    
    
    

答案4

得分: 0

对于Python列表,没有名为'unique'的方法,因此出现错误。要识别唯一的子列表,你可以将子列表转换为元组,创建一个元组集合来删除重复项,然后将元组转换回列表。你可以按照以下方式解决这个问题:

D = [[0, 2, 3, 5], [1, 3, 4, 6], [2, 0, 3, 5], [4, 1, 3, 6]]
# 对子列表元素进行排序(如果在你的情况下元素顺序不重要)
unique_tuples = set(tuple(sorted(sublist)) for sublist in D)

unique_sublists = [list(t) for t in unique_tuples]
print(unique_sublists)
[[0, 2, 3, 5], [1, 3, 4, 6]]
英文:

There is no method named 'unique' for Python lists hence the error.
To identify unique sublists, you can convert the sublists to tuples, create a set of tuples to remove duplicates, and then convert the tuples back to lists. You could solve this as below:

D = [[0, 2, 3, 5], [1, 3, 4, 6], [2, 0, 3, 5], [4, 1, 3, 6]]
#sort the sublist elements (I found this to be able to eliminate them by a set method below) that's if element order doesn't matter in your case
unique_tuples = set(tuple(sorted(sublist)) for sublist in D)

unique_sublists = [list(t) for t in unique_tuples]
print(unique_sublists)
[[0, 2, 3, 5], [1, 3, 4, 6]]

答案5

得分: -1

这在运行。

英文:

This is working.

D = [[0, 2, 3, 5], [1, 3, 4, 6], [2, 0, 3, 5], [4, 1, 3, 6]]

unique_sublists = []
for sublist in D:
    if set(sublist) not in [set(x) for x in unique_sublists]:
        unique_sublists.append(sublist)

print(unique_sublists)

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  • 本文由 发表于 2023年2月24日 01:54:50
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