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python - 将列表拆分为值上的嵌套列表

转载 作者:IT老高 更新时间:2023-10-28 20:25:31 28 4
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假设我有一个这样的列表:

[1, 4, None, 6, 9, None, 3, 9, 4]

我决定将其拆分为 None 上的嵌套列表,以获得此:

[[1, 4], [6, 9], [3, 9, 4]]

当然,我本可以在 (9, None) 上执行此操作,在这种情况下,我们会得到:

[[1, 4], [6], [3], [4]]

通过迭代(在 for 循环中)使用列表追加是微不足道的

我很想知道这是否可以更快地完成 - 比如列表理解?

如果不是,为什么不呢? (例如,列表推导式每次迭代不能返回多个列表元素?)

最佳答案

>>> def isplit(iterable,splitters):
return [list(g) for k,g in itertools.groupby(iterable,lambda x:x in splitters) if not k]

>>> isplit(L,(None,))
[[1, 4], [6, 9], [3, 9, 4]]
>>> isplit(L,(None,9))
[[1, 4], [6], [3], [4]]

基准代码:

import timeit    

kabie=("isplit_kabie",
"""
import itertools
def isplit_kabie(iterable,splitters):
return [list(g) for k,g in itertools.groupby(iterable,lambda x:x in splitters) if not k]
""" )

ssplit=("ssplit",
"""
def ssplit(seq,splitters):
seq=list(seq)
if splitters and seq:
result=[]
begin=0
for end in range(len(seq)):
if seq[end] in splitters:
if end > begin:
result.append(seq[begin:end])
begin=end+1
if begin<len(seq):
result.append(seq[begin:])
return result
return [seq]
""" )

ssplit2=("ssplit2",
"""
def ssplit2(seq,splitters):
seq=list(seq)
if splitters and seq:
splitters=set(splitters).intersection(seq)
if splitters:
result=[]
begin=0
for end in range(len(seq)):
if seq[end] in splitters:
if end > begin:
result.append(seq[begin:end])
begin=end+1
if begin<len(seq):
result.append(seq[begin:])
return result
return [seq]
""" )

emile=("magicsplit",
"""
def _itersplit(l, *splitters):
current = []
for item in l:
if item in splitters:
yield current
current = []
else:
current.append(item)
yield current

def magicsplit(l, splitters):
return [subl for subl in _itersplit(l, *splitters) if subl]
""" )

emile_improved=("magicsplit2",
"""
def _itersplit(l, *splitters):
current = []
for item in l:
if item in splitters:
if current:
yield current
current = []
else:
current.append(item)
if current:
yield current

def magicsplit2(l, splitters):
if splitters and l:
return [i for i in _itersplit(l, *splitters)]
return [list(l)]
""" )

karl=("ssplit_karl",
"""
def ssplit_karl(original,splitters):
indices = [i for (i, x) in enumerate(original) if x in splitters]
ends = indices + [len(original)]
begins = [0] + [x + 1 for x in indices]
return [original[begin:end] for (begin, end) in zip(begins, ends)]
""" )

ryan=("split_on",
"""
from functools import reduce
def split_on (seq, delims, remove_empty=True):
'''Split seq into lists using delims as a delimiting elements.

For example, split_on(delims=2, list=xrange(0,5)) yields [ [0,1], [3,4] ].

delims can be either a single delimiting element or a list or
tuple of multiple delimiting elements. If you wish to use a list
or tuple as a delimiter, you must enclose it in another list or
tuple.

If remove_empty is False, then consecutive delimiter elements or delimiter elements at the beginning or end of the longlist'''
delims=set(delims)
def reduce_fun(lists, elem):
if elem in delims:
if remove_empty and lists[-1] == []:
# Avoid adding multiple empty lists
pass
else:
lists.append([])
else:
lists[-1].append(elem)
return lists
result_list = reduce(reduce_fun, seq, [ [], ])
# Maybe remove trailing empty list
if remove_empty and result_list[-1] == []:
result_list.pop()
return result_list
""" )

cases=(kabie, emile, emile_improved, ssplit ,ssplit2 ,ryan)

data=(
([1, 4, None, 6, 9, None, 3, 9, 4 ],(None,)),
([1, 4, None, 6, 9, None, 3, 9, 4 ]*5,{None,9,7}),
((),()),
(range(1000),()),
("Split me",('','')),
("split me "*100,' '),
("split me,"*100,' ,'*20),
("split me, please!"*100,' ,!'),
(range(100),range(100)),
(range(100),range(101,1000)),
(range(100),range(50,150)),
(list(range(100))*30,(99,)),
)

params="seq,splitters"

def benchmark(func,code,data,params='',times=10000,rounds=3,debug=''):
assert(func.isidentifier())
tester = timeit.Timer(stmt='{func}({params})'.format(
func=func,params=params),
setup="{code}\n".format(code=code)+
(params and "{params}={data}\n".format(params=params,data=data)) +
(debug and """ret=repr({func}({params}))
print({func}.__name__.rjust(16),":",ret[:30]+"..."+ret[-15:] if len(ret)>50 else ret)
""".format(func=func,params=params)))
results = [tester.timeit(times) for i in range(rounds)]
if not debug:
print("{:>16s} takes:{:6.4f},avg:{:.2e},best:{:.4f},worst:{:.4f}".format(
func,sum(results),sum(results)/times/rounds,min(results),max(results)))

def testAll(cases,data,params='',times=10000,rounds=3,debug=''):
if debug:
times,rounds = 1,1
for dat in data:
sdat = tuple(map(repr,dat))
print("{}x{} times:".format(times,rounds),
','.join("{}".format(d[:8]+"..."+d[-5:] if len(d)>16 else d)for d in map(repr,dat)))
for func,code in cases:
benchmark(func,code,dat,params,times,rounds,debug)

if __name__=='__main__':
testAll(cases,data,params,500,10)#,debug=True)

i3-530、Windows7、Python 3.1.2 上的输出:

500x10 times: [1, 4, N...9, 4],(None,)
isplit_kabie takes:0.0605,avg:1.21e-05,best:0.0032,worst:0.0074
magicsplit takes:0.0287,avg:5.74e-06,best:0.0016,worst:0.0036
magicsplit2 takes:0.0174,avg:3.49e-06,best:0.0017,worst:0.0018
ssplit takes:0.0149,avg:2.99e-06,best:0.0015,worst:0.0016
ssplit2 takes:0.0198,avg:3.96e-06,best:0.0019,worst:0.0021
split_on takes:0.0229,avg:4.59e-06,best:0.0023,worst:0.0024
500x10 times: [1, 4, N...9, 4],{9, None, 7}
isplit_kabie takes:0.1448,avg:2.90e-05,best:0.0144,worst:0.0146
magicsplit takes:0.0636,avg:1.27e-05,best:0.0063,worst:0.0065
magicsplit2 takes:0.0891,avg:1.78e-05,best:0.0064,worst:0.0162
ssplit takes:0.0593,avg:1.19e-05,best:0.0058,worst:0.0061
ssplit2 takes:0.1004,avg:2.01e-05,best:0.0069,worst:0.0142
split_on takes:0.0929,avg:1.86e-05,best:0.0090,worst:0.0096
500x10 times: (),()
isplit_kabie takes:0.0041,avg:8.14e-07,best:0.0004,worst:0.0004
magicsplit takes:0.0040,avg:8.04e-07,best:0.0004,worst:0.0004
magicsplit2 takes:0.0022,avg:4.35e-07,best:0.0002,worst:0.0002
ssplit takes:0.0023,avg:4.59e-07,best:0.0002,worst:0.0003
ssplit2 takes:0.0023,avg:4.53e-07,best:0.0002,worst:0.0002
split_on takes:0.0072,avg:1.45e-06,best:0.0007,worst:0.0009
500x10 times: range(0, 1000),()
isplit_kabie takes:0.8892,avg:1.78e-04,best:0.0881,worst:0.0895
magicsplit takes:0.6614,avg:1.32e-04,best:0.0654,worst:0.0673
magicsplit2 takes:0.0958,avg:1.92e-05,best:0.0094,worst:0.0099
ssplit takes:0.0943,avg:1.89e-05,best:0.0093,worst:0.0095
ssplit2 takes:0.0943,avg:1.89e-05,best:0.0093,worst:0.0096
split_on takes:1.3348,avg:2.67e-04,best:0.1328,worst:0.1340
500x10 times: 'Split me',('', '')
isplit_kabie takes:0.0234,avg:4.68e-06,best:0.0023,worst:0.0024
magicsplit takes:0.0126,avg:2.52e-06,best:0.0012,worst:0.0013
magicsplit2 takes:0.0138,avg:2.76e-06,best:0.0013,worst:0.0015
ssplit takes:0.0119,avg:2.39e-06,best:0.0012,worst:0.0012
ssplit2 takes:0.0075,avg:1.50e-06,best:0.0007,worst:0.0008
split_on takes:0.0191,avg:3.83e-06,best:0.0018,worst:0.0023
500x10 times: 'split m... me ',' '
isplit_kabie takes:2.0803,avg:4.16e-04,best:0.2060,worst:0.2098
magicsplit takes:0.9219,avg:1.84e-04,best:0.0920,worst:0.0925
magicsplit2 takes:1.0221,avg:2.04e-04,best:0.1018,worst:0.1034
ssplit takes:0.8294,avg:1.66e-04,best:0.0818,worst:0.0834
ssplit2 takes:0.9911,avg:1.98e-04,best:0.0983,worst:0.1014
split_on takes:1.5672,avg:3.13e-04,best:0.1543,worst:0.1694
500x10 times: 'split m... me,',' , , , ... , ,'
isplit_kabie takes:2.1847,avg:4.37e-04,best:0.2164,worst:0.2275
magicsplit takes:3.7135,avg:7.43e-04,best:0.3693,worst:0.3783
magicsplit2 takes:3.8104,avg:7.62e-04,best:0.3795,worst:0.3884
ssplit takes:0.9522,avg:1.90e-04,best:0.0939,worst:0.0956
ssplit2 takes:1.0140,avg:2.03e-04,best:0.1009,worst:0.1023
split_on takes:1.5747,avg:3.15e-04,best:0.1563,worst:0.1615
500x10 times: 'split m...ase!',' ,!'
isplit_kabie takes:3.3443,avg:6.69e-04,best:0.3324,worst:0.3380
magicsplit takes:2.0594,avg:4.12e-04,best:0.2054,worst:0.2076
magicsplit2 takes:2.1850,avg:4.37e-04,best:0.2180,worst:0.2191
ssplit takes:1.4881,avg:2.98e-04,best:0.1484,worst:0.1493
ssplit2 takes:1.8779,avg:3.76e-04,best:0.1868,worst:0.1920
split_on takes:2.9596,avg:5.92e-04,best:0.2946,worst:0.2980
500x10 times: range(0, 100),range(0, 100)
isplit_kabie takes:0.9445,avg:1.89e-04,best:0.0933,worst:0.1023
magicsplit takes:0.5878,avg:1.18e-04,best:0.0583,worst:0.0593
magicsplit2 takes:0.5597,avg:1.12e-04,best:0.0554,worst:0.0588
ssplit takes:0.8568,avg:1.71e-04,best:0.0852,worst:0.0874
ssplit2 takes:0.1399,avg:2.80e-05,best:0.0121,worst:0.0242
split_on takes:0.1462,avg:2.92e-05,best:0.0145,worst:0.0148
500x10 times: range(0, 100),range(101, 1000)
isplit_kabie takes:19.9749,avg:3.99e-03,best:1.9789,worst:2.0330
magicsplit takes:9.4997,avg:1.90e-03,best:0.9369,worst:0.9640
magicsplit2 takes:9.4394,avg:1.89e-03,best:0.9267,worst:0.9665
ssplit takes:19.2363,avg:3.85e-03,best:1.8936,worst:1.9516
ssplit2 takes:0.2032,avg:4.06e-05,best:0.0201,worst:0.0205
split_on takes:0.3329,avg:6.66e-05,best:0.0323,worst:0.0344
500x10 times: range(0, 100),range(50, 150)
isplit_kabie takes:1.1394,avg:2.28e-04,best:0.1130,worst:0.1153
magicsplit takes:0.7288,avg:1.46e-04,best:0.0721,worst:0.0760
magicsplit2 takes:0.7220,avg:1.44e-04,best:0.0705,worst:0.0774
ssplit takes:1.0835,avg:2.17e-04,best:0.1059,worst:0.1116
ssplit2 takes:0.1092,avg:2.18e-05,best:0.0105,worst:0.0116
split_on takes:0.1639,avg:3.28e-05,best:0.0162,worst:0.0168
500x10 times: [0, 1, 2..., 99],(99,)
isplit_kabie takes:3.2579,avg:6.52e-04,best:0.3225,worst:0.3360
magicsplit takes:2.2937,avg:4.59e-04,best:0.2274,worst:0.2344
magicsplit2 takes:2.6054,avg:5.21e-04,best:0.2587,worst:0.2642
ssplit takes:1.5251,avg:3.05e-04,best:0.1495,worst:0.1729
ssplit2 takes:1.7298,avg:3.46e-04,best:0.1696,worst:0.1858
split_on takes:4.1041,avg:8.21e-04,best:0.4033,worst:0.4291

稍微修改了 Ryan 的代码,希望你不要介意。ssplit 是基于 Karl 的想法。添加了处理一些特殊情况的语句成为 ssplit2,这是我可能提供的最佳解决方案。

关于python - 将列表拆分为值上的嵌套列表,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/4322705/

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