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Python - 仅对列表中的某些元素进行洗牌

[英]Python - shuffle only some elements of a list

我试图将第3个列表中的元素洗牌到最后一个位置,所以前两个将始终保持原位,例如

list = ['a?','b','c','d','e']

list = ['a?','b','d','e','c']

由于某种原因,这不起作用:

list = ['a?','b','c','d','e']
import random
random.shuffle(list[2:])    
print list

谁知道我做错了什么?

对我来说唯一有用的是迄今为止(EDITED):

lists = [['a?','b','c','d','e'],['1?','2','3','4','5','6','7']]
import random

for list in lists:
    copy = list[2:]
    random.shuffle(copy)
    list[2:] = copy

print lists

认为这正是我所需要的。

你做的是这样的:

copy = list[2:]
random.shuffle(copy)    

这对原始列表没有太大作用。 尝试这个:

copy = list[2:]
random.shuffle(copy)
list[2:] = copy # overwrite the original

如果你想在不复制的情况下进行随机播放,你可以尝试编写自己的可变切片类,如下所示(这是一个粗略的实现草图,没有边界检查等):

class MutableSlice(object):
    def __init__(self, baselist, begin, end=None):
        self._base = baselist
        self._begin = begin
        self._end = len(baselist) if end is None else end

    def __len__(self):
        return self._end - self._begin

    def __getitem__(self, i):
        return self._base[self._begin + i]

    def __setitem__(self, i, val):
        self._base[i + self._begin] = val

然后将原始列表包装到其中并输入标准shuffle:

>>> mylist = [1,2,3,4,5,6]
>>> slice = MutableSlice(mylist, 2)
>>> import random
>>> random.shuffle(slice)
>>> mylist
[1, 2, 4, 3, 5, 6]

您可以创建自己的shuffle函数,以允许您在可变序列中对切片进行洗牌。 它处理切片副本的采样并重新分配回切片。 您必须传递slice()参数而不是更熟悉的[2:]表示法。

from random import sample
def myShuffle(x, *s):
    x[slice(*s)] = sample(x[slice(*s)], len(x[slice(*s)]))

用法:

>>> lst = ['a?','b','c','d','e']   #don't use list as a name
>>> myShuffle(lst, 2)              #shuffles lst[:2]
>>> lst
['b', 'a?', 'c', 'd', 'e']
>>> myShuffle(lst, 2, None)        #shuffles lst[2:]
>>> lst
['b', 'a?', 'd', 'e', 'c']

要在没有副本的情况下对列表中的一部分进行洗牌 ,我们可以使用Knuth shuffle

import random
def shuffle_slice(a, start, stop):
    i = start
    while (i < stop-1):
        idx = random.randrange(i, stop)
        a[i], a[idx] = a[idx], a[i]
        i += 1

它与random.shuffle完全相同,除了在切片上:

>>> a = [0, 1, 2, 3, 4, 5]
>>> shuffle_slice(a, 0, 3)
>>> a
[2, 0, 1, 3, 4, 5]

l[2:]构造一个新列表, random.shuffle尝试“就地”更改列表,这对l本身没有影响。

你可以使用random.sample

l[2:] = random.sample(l[2:], len(l)-2)

使用列表快速删除并插入和删除以前的解决方案这一事实( https://stackoverflow.com/a/25229111/3449962 ):

项目清单

  • 枚举固定元素并复制它们及其索引
  • 从列表中删除固定元素
  • 洗牌剩下的子集
  • 将固定元素放回去

这将使用具有内存开销的就地操作,这取决于列表中固定元素的数量。 线性时间。 一个可能更普遍的shuffle_subset实现:

#!/usr/bin/env python
"""Shuffle elements in a list, except for a sub-set of the elments.

The sub-set are those elements that should retain their position in
the list.  Some example usage:

>>> from collections import namedtuple
>>> class CAnswer(namedtuple("CAnswer","x fixed")):
...             def __bool__(self):
...                     return self.fixed is True
...             __nonzero__ = __bool__  # For Python 2. Called by bool in Py2.
...             def __repr__(self):
...                     return "<CA: {}>".format(self.x)
...
>>> val = [3, 2, 0, 1, 5, 9, 4]
>>> fix = [2, 5]
>>> lst = [CAnswer(v, i in fix) for i, v in enumerate(val)]

>>> print("Start   ", 0, ": ", lst)
Start    0 :  [<CA: 3>, <CA: 2>, <CA: 0>, <CA: 1>, <CA: 5>, <CA: 9>, <CA: 4>]

Using a predicate to filter.

>>> for i in range(4):  # doctest: +NORMALIZE_WHITESPACE
...     shuffle_subset(lst, lambda x : x.fixed)
...     print([lst[i] for i in fix], end=" ")
...
[<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>]

>>> for i in range(4):                # doctest: +NORMALIZE_WHITESPACE
...     shuffle_subset(lst)           # predicate = bool()
...     print([lst[i] for i in fix], end=" ")
...
[<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>] [<CA: 0>, <CA: 9>]

Exclude certain postions from the shuffle.  For example, exclude the
first two elements:

>>> fix = [0, 1]
>>> lst = [CAnswer(v, i in fix) for i, v in enumerate(val)]
>>> print("Start   ", 0, ": ", lst)
Start    0 :  [<CA: 3>, <CA: 2>, <CA: 0>, <CA: 1>, <CA: 5>, <CA: 9>, <CA: 4>]
>>> for i in range(4):                # doctest: +NORMALIZE_WHITESPACE
...     shuffle_subset(lst, fix)
...     print([lst[i] for i in fix], end=" ")
...
[<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>]

Using a selector with the same number of elements as lst:

>>> fix = [0, 1]
>>> lst = [CAnswer(v, i in fix) for i, v in enumerate(val)]
>>> sel = [(i in fix) for i, _ in enumerate(val)]
>>> print("Start   ", 0, ": ", lst)
Start    0 :  [<CA: 3>, <CA: 2>, <CA: 0>, <CA: 1>, <CA: 5>, <CA: 9>, <CA: 4>]
>>> for i in range(4):                # doctest: +NORMALIZE_WHITESPACE
...     shuffle_subset(lst, sel)
...     print([lst[i] for i in fix], end=" ")
...
[<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>]

A generator as selector works fine too:

>>> fix = [0, 1]
>>> lst = [CAnswer(v, i in fix) for i, v in enumerate(val)]
>>> print("Start   ", 0, ": ", lst)
Start    0 :  [<CA: 3>, <CA: 2>, <CA: 0>, <CA: 1>, <CA: 5>, <CA: 9>, <CA: 4>]
>>> for i in range(4):                # doctest: +NORMALIZE_WHITESPACE
...     sel = ((i in fix) for i, _ in enumerate(val))
...     shuffle_subset(lst, sel)
...     print([lst[i] for i in fix], end=" ")
...
[<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>] [<CA: 3>, <CA: 2>]

"""
from __future__ import print_function
import random


def shuffle_subset(lst, predicate=None):
    """All elements in lst, except a sub-set, are shuffled.

    The predicate defines the sub-set of elements in lst that should
    not be shuffled:

      + The predicate is a callable that returns True for fixed
      elements, predicate(element) --> True or False.

      + If the predicate is None extract those elements where
      bool(element) == True.

      + The predicate is an iterable that is True for fixed elements
      or len(predicate) == len(lst).

      + The predicate is a list of indices of fixed elements in lst
      with len(predicate) < len(lst).

    """
    def extract_fixed_elements(pred, lst):
        try:
            if callable(pred) or pred is None:
                pred = bool if pred is None else pred
                fixed_subset = [(i, e) for i, e in enumerate(lst) if pred(e)]
            elif (hasattr(pred, '__next__') or len(pred) == len(lst)):
                fixed_subset = [(i, lst[i]) for i, p in enumerate(pred) if p]
            elif len(pred) < len(lst):
                fixed_subset = [(i, lst[i]) for i in pred]
            else:
                raise TypeError("Predicate {} not supported.".format(pred))
        except TypeError as err:
            raise TypeError("Predicate {} not supported. {}".format(pred, err))
        return fixed_subset
    #
    fixed_subset = extract_fixed_elements(predicate, lst)
    fixed_subset.reverse()      # Delete fixed elements from high index to low.
    for i, _ in fixed_subset:
        del lst[i]
    random.shuffle(lst)
    fixed_subset.reverse()      # Insert fixed elements from low index to high.
    for i, e in fixed_subset:
        lst.insert(i, e)


if __name__ == "__main__":
    import doctest
    doctest.testmod()

我从random.shuffle复制了shuffle函数并对其进行了调整,以便它只在定义的范围内对列表进行洗牌:

import random
a = range(0,20)
b = range(0,20)

def shuffle_slice(x, startIdx, endIdx):
    for i in reversed(xrange(startIdx+1, endIdx)):
       # pick an element in x[:i+1] with which to exchange x[i]
       j = random.randint(startIdx, i)
       x[i], x[j] = x[j], x[i]

#Shuffle from 5 until the end of a
shuffle_slice(a, 5, len(a))    
print a

#Shuffle b from 5 ... 15
shuffle_slice(b, 5, 15)
print b

上面的代码只是对指定范围内的元素进行洗牌。 shuffle在原地完成,即不创​​建列表的副本。

试试这个..它更简单,不会制作列表的任何副本。
只需使用列表索引即可保持任何元素的固定。

工作:

  1. 创建一个仅包含要随机播放的元素的新列表。

  2. 洗牌新名单。

  3. 从原始列表中删除您想要随机播放的元素。

  4. 将新创建的列表插入到适当索引的旧列表中

import random
    list = ['a?', 'b', 'c', 'd', 'e']

    v = []
    p = [v.append(list[c]) for c in range(2,len(list))] #step 1
    random.shuffle(v)  #step 2
    for c in range(2,len(list)):
        list.remove(list[c])  #step 3
        list.insert(c,v[c-2]) #step 4    #c-2 since the part to be shuffled begins from this index of list

    print(list)

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