如果我们在python中有list
strings
并希望根据某些特殊string
创建子列表,我们该怎么做?
例如:
l = ["data","more data","","data 2","more data 2","danger","","date3","lll"]
p = split_special(l,"")
将生成:
p = [["data","more data"],["data 2","more data 2","danger"],["date3","lll"]]
答案 0 :(得分:25)
itertools.groupby 是一种方法(通常是这样):
>>> l = ["data","more data","","data 2","more data 2","danger","","date3","lll"]
>>> from itertools import groupby
>>> groupby(l, lambda x: x == "")
<itertools.groupby object at 0x9ce06bc>
>>> [list(group) for k, group in groupby(l, lambda x: x == "") if not k]
[['data', 'more data'], ['data 2', 'more data 2', 'danger'], ['date3', 'lll']]
由于这个特殊情况,我们甚至可以作弊:
>>> [list(group) for k, group in groupby(l, bool) if k]
[['data', 'more data'], ['data 2', 'more data 2', 'danger'], ['date3', 'lll']]
答案 1 :(得分:4)
使用itertools
的一种可能的实现方式>>> l
['data', 'more data', '', 'data 2', 'more data 2', 'danger', '', 'date3', 'lll']
>>> it_l = iter(l)
>>> from itertools import takewhile, dropwhile
>>> [[e] + list(takewhile(lambda e: e != "", it_l)) for e in it_l if e != ""]
[['data', 'more data'], ['data 2', 'more data 2', 'danger'], ['date3', 'lll']]
注意 *
这与使用groupby一样快
>>> stmt_dsm = """
[list(group) for k, group in groupby(l, lambda x: x == "") if not k]
"""
>>> stmt_ab = """
it_l = iter(l)
[[e] + list(takewhile(lambda e: e != "", it_l)) for e in it_l if e != ""]
"""
>>> t_ab = timeit.Timer(stmt = stmt_ab, setup = "from __main__ import l, dropwhile, takewhile")
>>> t_dsm = timeit.Timer(stmt = stmt_dsm, setup = "from __main__ import l, groupby")
>>> t_ab.timeit(100000)
1.6863486541265047
>>> t_dsm.timeit(100000)
1.5298066765462863
>>> t_ab.timeit(100000)
1.735611326163962
>>>
答案 2 :(得分:2)
reduce
:
def split(iterable, where):
def splitter(acc, item, where=where):
if item == where:
acc.append([])
else:
acc[-1].append(item)
return acc
return reduce(splitter, iterable, [[]])
data = ["data","more data","","data 2","more data 2","danger","","date3","lll"]
print split(data, '')
结果:
[['data', 'more data'], ['data 2', 'more data 2', 'danger'], ['date3', 'lll']]
答案 3 :(得分:1)
我不确定这是否是解决它的最“pythonic”方式。
def split_seq(seq, sep):
start = 0
while start < len(seq):
try:
stop = start + seq[start:].index(sep)
yield seq[start:stop]
start = stop + 1
except ValueError:
yield seq[start:]
break
ll = ["data","more data","","data 2","more data 2","danger","","date3","lll"]
p = [i for i in split_seq(ll,"")]
答案 4 :(得分:1)
这是一个想法。 :)
def spec_split(seq,sep):
# Ideally this separator will never be in your list
odd_sep = "!@#$%^&*()"
# Join all the items with the odd separator and split
# anywhere the odd separator + separator + odd seperator meet
# This makes a list of items broken by the separator
jumble = odd_sep.join(seq).split(odd_sep+sep+odd_sep)
# split the remaining items broken by odd separators into sublists
return [item.split(odd_sep) for item in jumble]
答案 5 :(得分:0)
lst = ["data","more data","","data 2","more data 2","danger","","date3","lll"]
join_list = ",".join(lst)
split_list = join_list.split(",,")
result = [i.split() for i in split_list]
#result =[['data,more', 'data'], ['data', '2,more', 'data', '2,danger'], ['date3,lll']]