I\'m trying to shuffle only elements of a list on 3rd till last position so the 1st two will always stay in place e.g.
list = [\'a?\',\'b\',\'c\',\'d\',\'e\'
Using the fact that a list has fast remove and insert and exteding a previous solution (https://stackoverflow.com/a/25229111/3449962):
List item
This will use in-place operations with memory overhead that depends on the number of fixed elements in the list. Linear in time. A possible more general implementation of shuffle_subset:
#!/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()
What you do is this:
copy = list[2:]
random.shuffle(copy)
which does not do much to the original list. Try this:
copy = list[2:]
random.shuffle(copy)
list[2:] = copy # overwrite the original
I copied the shuffle function from random.shuffle and adapted it, so that it will shuffle a list only on a defined range:
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
The code above only shuffles the elements within the specified range. The shuffle is done inplace, i.e. no copy of the list is created.
l[2:]
constructs a new list, and random.shuffle
tries to change the list "in-place," which has no effect on l
itself.
You could use random.sample
for this:
l[2:] = random.sample(l[2:], len(l)-2)
If you want to shuffle without copying, you may try to write your own mutable slice class, like follows (that's a rough implementation sketch, no boundary checks etc):
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
Then wrap the original list into it and feed to the standard shuffle:
>>> mylist = [1,2,3,4,5,6]
>>> slice = MutableSlice(mylist, 2)
>>> import random
>>> random.shuffle(slice)
>>> mylist
[1, 2, 4, 3, 5, 6]
To shuffle a slice of the list in place, without copies, we can use a 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
It does the same thing as random.shuffle, except on a slice:
>>> a = [0, 1, 2, 3, 4, 5]
>>> shuffle_slice(a, 0, 3)
>>> a
[2, 0, 1, 3, 4, 5]