Python 计算嵌套列表中每个位置的出现次数

我有一个列表

X

，其中的数字来自

1-10

，还有一个函数，它使用该列表创建一个新列表，其中包含1-10之间的随机值。我想调用这个函数100次，并计算相同值在嵌套列表中相同位置出现的次数

我创建了函数

list

来实现这一点。我的代码返回正确答案，但我认为必须有一种更简单的方法来编写它：

从收款进口柜台 随机输入

X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

def randomX(l):
    randomX = [random.choice(X) for i in range(len(data))]
    return randomX

def lists(times):
    lists = [randomX(X) for i in range(times)]
    x1 = Counter(sublist[0] for sublist in lists)
    x2 = Counter(sublist[1] for sublist in lists)
    x3 = Counter(sublist[2] for sublist in lists)
    x4 = Counter(sublist[3] for sublist in lists)
    x5 = Counter(sublist[4] for sublist in lists)
    x6 = Counter(sublist[5] for sublist in lists)
    x7 = Counter(sublist[6] for sublist in lists)
    x8 = Counter(sublist[7] for sublist in lists)
    x9 = Counter(sublist[8] for sublist in lists)
    x10 = Counter(sublist[9] for sublist in lists)
    return x1, x2, x3, x4, x5, x6, x7, x8, x9, x10

print(lists(100))

这会打印一个像这样的结果，这正是我想要的，只是我要对它进行排序。然而，似乎没有必要连续写10次几乎相同的内容，但列表切片无法与计数器一起工作

(Counter({7: 14, 8: 12, 6: 12, 3: 11, 9: 11, 1: 10, 10: 9, 4: 9, 5: 7, 2: 5}),
 Counter({5: 16, 3: 14, 7: 11, 4: 11, 10: 9, 1: 9, 6: 8, 8: 8, 2: 7, 9: 7}),
 Counter({3: 14, 2: 14, 7: 13, 8: 13, 4: 10, 6: 10, 5: 10, 1: 8, 9: 5, 10: 3}),
 Counter({3: 15, 6: 15, 8: 12, 7: 11, 1: 11, 4: 11, 2: 10, 9: 7, 5: 5, 10: 3}),
 Counter({8: 20, 3: 15, 6: 13, 4: 11, 7: 10, 10: 10, 2: 7, 1: 7, 5: 4, 9: 3}),
 Counter({9: 15, 6: 13, 10: 12, 4: 11, 2: 10, 8: 9, 3: 8, 5: 8, 1: 8, 7: 6}),
 Counter({6: 17, 7: 13, 9: 11, 2: 11, 8: 11, 5: 10, 3: 8, 10: 8, 4: 6, 1: 5}),
 Counter({6: 20, 5: 11, 10: 11, 1: 11, 9: 10, 2: 9, 4: 8, 3: 8, 7: 7, 8: 5}),
 Counter({8: 13, 10: 13, 4: 13, 5: 11, 9: 11, 1: 10, 3: 9, 2: 8, 7: 6, 6: 6}),
 Counter({10: 14, 8: 13, 1: 10, 2: 10, 3: 10, 5: 10, 7: 9, 4: 9, 9: 9, 6: 6}))

---

有人对我如何简化这段代码有什么建议吗

您可以使用将创建的列表转换为列，并对这些列进行计数

以下是一个小例子：

输出：

# transposed - each tuple equals one column now
[(1, 11, 111), (2, 12, 112), (3, 13, 113), (4, 14, 114)]

Counter({9: 18, 7: 13, 10: 13, 5: 12, 3: 11, 8: 11, 1: 8, 4: 6, 6: 4, 2: 4})
Counter({3: 16, 7: 14, 6: 13, 8: 11, 10: 10, 1: 9, 4: 9, 5: 8, 9: 6, 2: 4})
Counter({6: 13, 7: 13, 3: 12, 9: 12, 2: 11, 5: 10, 10: 9, 8: 8, 4: 7, 1: 5})
Counter({10: 17, 2: 15, 6: 12, 3: 9, 9: 9, 5: 9, 8: 9, 7: 8, 1: 7, 4: 5})
Counter({9: 14, 10: 11, 4: 11, 7: 10, 1: 10, 5: 10, 3: 9, 6: 9, 8: 8, 2: 8})
Counter({7: 17, 3: 12, 8: 11, 9: 11, 10: 10, 4: 9, 2: 9, 5: 8, 1: 7, 6: 6})
Counter({3: 13, 2: 13, 5: 13, 1: 11, 10: 11, 6: 10, 8: 9, 7: 8, 9: 7, 4: 5})
Counter({6: 15, 3: 13, 5: 13, 1: 12, 10: 12, 7: 11, 8: 8, 4: 7, 9: 5, 2: 4})
Counter({5: 15, 1: 12, 8: 12, 7: 10, 2: 10, 6: 10, 9: 9, 3: 9, 4: 8, 10: 5})
Counter({3: 13, 9: 13, 4: 12, 10: 10, 2: 10, 1: 9, 8: 9, 7: 8, 6: 8, 5: 8})

---

您的代码使用zip（）和生成器：

from collections import Counter
import random

random.seed(42)

def countEm(data, times):
    datalen = len(data)
    numbers = [ random.choices(data, k=datalen) for _ in range(times)]
    for col in zip(*numbers):
        yield Counter(col) 

X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# generators can only be consumed once, use  result = list(countEm(X,100)) if you
# want to reuse the result beside printing... 

for count in countEm(X,100):
    print(count) 

输出：

# transposed - each tuple equals one column now
[(1, 11, 111), (2, 12, 112), (3, 13, 113), (4, 14, 114)]

Counter({9: 18, 7: 13, 10: 13, 5: 12, 3: 11, 8: 11, 1: 8, 4: 6, 6: 4, 2: 4})
Counter({3: 16, 7: 14, 6: 13, 8: 11, 10: 10, 1: 9, 4: 9, 5: 8, 9: 6, 2: 4})
Counter({6: 13, 7: 13, 3: 12, 9: 12, 2: 11, 5: 10, 10: 9, 8: 8, 4: 7, 1: 5})
Counter({10: 17, 2: 15, 6: 12, 3: 9, 9: 9, 5: 9, 8: 9, 7: 8, 1: 7, 4: 5})
Counter({9: 14, 10: 11, 4: 11, 7: 10, 1: 10, 5: 10, 3: 9, 6: 9, 8: 8, 2: 8})
Counter({7: 17, 3: 12, 8: 11, 9: 11, 10: 10, 4: 9, 2: 9, 5: 8, 1: 7, 6: 6})
Counter({3: 13, 2: 13, 5: 13, 1: 11, 10: 11, 6: 10, 8: 9, 7: 8, 9: 7, 4: 5})
Counter({6: 15, 3: 13, 5: 13, 1: 12, 10: 12, 7: 11, 8: 8, 4: 7, 9: 5, 2: 4})
Counter({5: 15, 1: 12, 8: 12, 7: 10, 2: 10, 6: 10, 9: 9, 3: 9, 4: 8, 10: 5})
Counter({3: 13, 9: 13, 4: 12, 10: 10, 2: 10, 1: 9, 8: 9, 7: 8, 6: 8, 5: 8})

---

备注:

即使您使用相同的

random.seed（42）

，我们的随机数也不会匹配。使用n次

random.choice（）

from collections import Counter
import random

random.seed(42)
X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

def randomX(l):
    lenl=len(l)
    return random.choices(l,k=lenl) 

def lists(times):
    lists = [randomX(X) for i in range(times)]
    x1 = Counter(sublist[0] for sublist in lists)
    x2 = Counter(sublist[1] for sublist in lists)
    x3 = Counter(sublist[2] for sublist in lists)
    x4 = Counter(sublist[3] for sublist in lists)
    x5 = Counter(sublist[4] for sublist in lists)
    x6 = Counter(sublist[5] for sublist in lists)
    x7 = Counter(sublist[6] for sublist in lists)
    x8 = Counter(sublist[7] for sublist in lists)
    x9 = Counter(sublist[8] for sublist in lists)
    x10 = Counter(sublist[9] for sublist in lists)
    return x1, x2, x3, x4, x5, x6, x7, x8, x9, x10

print(*lists(100), sep="\n")

现在输出：

Counter({9: 18, 7: 13, 10: 13, 5: 12, 3: 11, 8: 11, 1: 8, 4: 6, 6: 4, 2: 4})
Counter({3: 16, 7: 14, 6: 13, 8: 11, 10: 10, 1: 9, 4: 9, 5: 8, 9: 6, 2: 4})
Counter({6: 13, 7: 13, 3: 12, 9: 12, 2: 11, 5: 10, 10: 9, 8: 8, 4: 7, 1: 5})
Counter({10: 17, 2: 15, 6: 12, 3: 9, 9: 9, 5: 9, 8: 9, 7: 8, 1: 7, 4: 5})
Counter({9: 14, 10: 11, 4: 11, 7: 10, 1: 10, 5: 10, 3: 9, 6: 9, 8: 8, 2: 8})
Counter({7: 17, 3: 12, 8: 11, 9: 11, 10: 10, 4: 9, 2: 9, 5: 8, 1: 7, 6: 6})
Counter({3: 13, 2: 13, 5: 13, 1: 11, 10: 11, 6: 10, 8: 9, 7: 8, 9: 7, 4: 5})
Counter({6: 15, 3: 13, 5: 13, 1: 12, 10: 12, 7: 11, 8: 8, 4: 7, 9: 5, 2: 4})
Counter({5: 15, 1: 12, 8: 12, 7: 10, 2: 10, 6: 10, 9: 9, 3: 9, 4: 8, 10: 5})
Counter({3: 13, 9: 13, 4: 12, 10: 10, 2: 10, 1: 9, 8: 9, 7: 8, 6: 8, 5: 8})

用
返回random.choices（X，k=len（数据））
替换
randomX=[random.choice（X）for i in range（len（数据））
。。或者不使用函数直接使用它为什么要将
X
作为参数
l
提供给函数，而在函数中仍然使用全局
X
？在其内部使用
l
，这样您就可以为函数提供任何列表。是什么阻止您在循环中写入
x1=计数器（列表中的子列表为子列表[0]）
？