Question

我有一份清单清单：

a = [[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
     [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0],
     [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 5.0, 5.0, 5.0],
     [1.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0],
     [5.0, 5.0, 5.0], 
     [1.0]
    ]

a= set(a)

我需要做的是删除列表列表中的所有重复项并保留上一个序列。另外，我需要计算列表中每个重复项的数量。如

删除重复项后的列表清单：

a = [[1.0],
     [2.0, 3.0, 4.0],
     [3.0, 5.0],
     [1.0, 4.0, 5.0],
     [5.0], 
     [1.0]
    ]

列表清单中重复次数的计数

b = [[13],
     [6, 5, 4],
     [8, 3],
     [1, 3, 3],
     [3], 
     [1]
    ]

我的代码：

for index, lst in enumerate(a):
    seen = set()
    a[index] = [i for i in lst if i not in seen and seen.add(i) is None]

Answer 1

您可以使用itertools.groupby：

from itertools import groupby

a = [[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
     [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0],
     [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 5.0, 5.0, 5.0],
     [1.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0],
     [5.0, 5.0, 5.0], 
     [1.0]
    ]

b = []
c = []

for inner in a:
    new_b = []
    new_c = []
    for value, repeated in groupby(sorted(inner)):
        new_b.append(value)
        new_c.append(sum(1 for _ in repeated))

    b.append(new_b)
    c.append(new_c)

print b
# [[1.0], [2.0, 3.0, 4.0], [3.0, 5.0], [1.0, 4.0, 5.0], [5.0], [1.0]]
print c
# [[13], [6, 5, 4], [8, 3], [1, 3, 3], [3], [1]]

Answer 2

使用collections.Counter()

from collections import Counter

a = [[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
     [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0],
     [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 5.0, 5.0, 5.0],
     [1.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0],
     [5.0, 5.0, 5.0], 
     [1.0]
    ]

dic_count = [ Counter(x) for x in a]

print dic_count

'''
[
    Counter({1.0: 13}),
    Counter({2.0: 6, 3.0: 5, 4.0: 4}),
    Counter({3.0: 8, 5.0: 3}),
    Counter({4.0: 3, 5.0: 3, 1.0: 1}),
    Counter({5.0: 3}),
    Counter({1.0: 1})
]
'''

print [ x.keys() for x in dic_count ]

'''
[
     [1.0],
     [2.0, 3.0, 4.0],
     [3.0, 5.0],
     [1.0, 4.0, 5.0],
     [5.0],
     [1.0]
]
'''

print [ x.values() for x in dic_count ]

'''
[
    [13],
    [6, 5, 4],
    [8, 3],
    [1, 3, 3],
    [3],
    [1]
]
'''

Answer 3

这很有效：

b = [list(set(x)) for x in a]

c =  [[a[ind].count(x) for x in ele] for ind, ele in enumerate(b)]

列表上有50个子列表：

In [8]: %%timeit
   ...: b = []
   ...: c = []
   ...: for inner in a:
   ...:     new_b = []
   ...:     new_c = []
   ...:     for value, repeated in groupby(sorted(inner)):
   ...:         new_b.append(value)
   ...:         new_c.append(sum(1 for _ in repeated))
   ...:     b.append(new_b)
   ...:     c.append(new_c)
   ...: 
10 loops, best of 3: 20.4 ms per loop

In [9]: %%timeit
    dic_count = [ Counter(x) for x in a]
    [ x.keys() for x in dic_count ]
    [ x.values() for x in dic_count ]
   ...: 
10 loops, best of 3: 39.1 ms per loop

In [10]: %%timeit
    b = [list(set(x)) for x in a]
    c = [a[ind].count(x) for x in ele]for ind, ele in enumerate(b)]
   ....: 
100 loops, best of 3: 7.95 ms per loop

Answer 4

您好，您可能不应该使用此代码（我只是在玩一些我尚未尝试过的新功能），但这可以为您提供所需的输出......

from collections import Counter
from itertools import *
vals = zip(*(izip(*izip(row.keys(),row.values())) for row in (dict(Counter(each)) for each in a)))
print vals[0],"\n", vals[1]

如果我是你，我就会解决这个问题...

[dict(Counter(each)) for each in a]

非常干净的输出，比我的解决方案更具可读性

Answer 5

最近我不得不开发类似的东西。我的解决方案是遍历列表，并创建一个数组，该数组具有值以及原始列表包含的值的数量。

    def count_duplicates(input_list):
        count_list = []
        for each in input_list:
            new_count = [each, input_list.count(each)]
            if count_list.count(new_count) >= 1:
                continue
            else:
                count_list.append(new_count)
        return count_list

通过在for-each循环内运行上述功能并设置一个新列表等于列表列表，您可以生成包含所需内容的输出。

Answer 6

无需极端，可以通过简单的数学来完成。

the_list = [34, 40, 17, 6, 6, 48, 35, 8, 23, 41, 3, 36, 14, 44, 4, 46, 13, 26, 8, 41, 48, 39, 3, 43, 7, 20, 44, 17, 14, 18, 4, 3, 38, 42, 4, 19, 50, 38, 19, 40, 3, 26, 33, 26, 47, 46, 30, 12, 28, 32]
print(len(the_list) - len(list(set(the_list))))

有评论：

# list with duplicates
the_list = [34, 40, 17, 6, 6, 48, 35, 8, 23, 41, 3, 36, 14, 44, 4, 46, 13, 26, 8, 41, 48, 39, 3, 43, 7, 20, 44, 17, 14, 18, 4, 3, 38, 42, 4, 19, 50, 38, 19, 40, 3, 26, 33, 26, 47, 46, 30, 12, 28, 32]

# in actual lists where you don't know the amount of items,
# determine the amount with len()
list_size = len(the_list)

# remove the duplicates using set(),
# since there was no mention of converting
# we'll also convert back to list()
the_list = list(set(the_list))

# how many duplicates?
duplicates = list_size - len(the_list)

print(f"Total items in list: {list_size}")
print(f"Number of duplicates removed: {duplicates}")

Python：在列表列表中计算和删除重复项

6 个答案: