Question

我有一个如下列表：

['1 (UID 3234 FLAGS (seen \\Seen))', '2 (UID 3235 FLAGS (\\Seen))',
 '3 (UID 3236 FLAGS (\\Deleted))', '4 (UID 3237 FLAGS (-FLAGS \\Seen +FLAGS))',
 '5 (UID 3241 FLAGS (-FLAGS \\Seen +FLAGS))', '6 (UID 3242 FLAGS (\\Seen))', 
 '7 (UID 3243 FLAGS (\\Seen))', '8 (UID 3244 FLAGS (\\Seen))', 
 '9 (UID 3245 FLAGS (\\Seen))', '10 (UID 3247 FLAGS (\\Seen))', 
'11 (UID 3252 FLAGS (\\Seen))', '12 (UID 3253 FLAGS (\\Deleted))', 
'13 (UID 3254 FLAGS ())', '14 (UID 3256 FLAGS (\\Seen))', '15 (UID 3304 FLAGS ())', 
'16 (UID 3318 FLAGS (\\Seen))', '17 (UID 3430 FLAGS (\\Seen))', 
'18 (UID 3431 FLAGS ())', '19 (UID 3434 FLAGS (\\Seen))', 
'20 (UID 3447 FLAGS (-FLAGS \\Seen +FLAGS))', '21 (UID 3478 FLAGS ())', 
'22 (UID 3479 FLAGS ())', '23 (UID 3480 FLAGS ())', '24 (UID 3481 FLAGS ())']

从这个列表中我想要三个不同的列表作为结果。我想在列表上使用单次迭代得到结果。

所有uid 的列表，即[3234,3235,3236,3237,3241 .....]
Seen uids 的列表，即[3234,3235 ...]＆lt; - 具有\ Seen Flag的项目的uid
已删除的uid 列表，即[3236,3253]＆lt; - 具有\已删除标记的项目的uid

Answer 1

最好的办法是将您的数据转换为dict映射UID到FLAGS，然后搜索它将很容易。所以数据看起来像这样：

{'3254': '', '3304': '', '3236': '\\Deleted', '3237': '-FLAGS \\Seen +FLAGS', '3234': 'seen \\Seen', '3235': '\\Seen', '3430': '\\Seen', '3431': '', '3252': '\\Seen', '3253':'\\Deleted', '3478': '', '3479': '', '3256': '\\Seen', '3481': '', '3480': '', '3318': '\\Seen', '3434': '\\Seen', '3243': '\\Seen', '3242': '\\Seen', '3241': '-FLAGS \\Seen +FLAGS', '3247': '\\Seen', '3245': '\\Seen', '3244': '\\Seen', '3447': '-FLAGS \\Seen +FLAGS'}

您可以执行此操作using a Regular Expression以匹配列表中的每个条目。如果我们让regexp在匹配中返回两个组，我们可以轻松构建dict。

所以我们最终得到这样的东西：

items = ['1 (UID 3234 FLAGS (seen \\Seen))', '2 (UID 3235 FLAGS (\\Seen))', '3 (UID 3236 FLAGS (\\Deleted))', '4 (UID 3237 FLAGS (-FLAGS \\Seen +FLAGS))', '5 (UID 3241 FLAGS (-FLAGS \\Seen +FLAGS))', '6 (UID 3242 FLAGS (\\Seen))',  '7 (UID 3243 FLAGS (\\Seen))', '8 (UID 3244 FLAGS (\\Seen))',  '9 (UID 3245 FLAGS (\\Seen))', '10 (UID 3247 FLAGS (\\Seen))', '11 (UID 3252 FLAGS (\\Seen))', '12 (UID 3253 FLAGS (\\Deleted))', '13 (UID 3254 FLAGS ())', '14 (UID 3256 FLAGS (\\Seen))', '15 (UID 3304 FLAGS ())', '16 (UID 3318 FLAGS (\\Seen))', '17 (UID 3430 FLAGS (\\Seen))', '18 (UID 3431 FLAGS ())', '19 (UID 3434 FLAGS (\\Seen))', '20 (UID 3447 FLAGS (-FLAGS \\Seen +FLAGS))', '21 (UID 3478 FLAGS ())', '22 (UID 3479 FLAGS ())', '23 (UID 3480 FLAGS ())', '24 (UID 3481 FLAGS ())']

import re
pattern = re.compile(r"\d+ \(UID (\d+) FLAGS \(([^)]*)\)\)")
values = dict(pattern.match(item).groups() for item in items)

然后，我们可以轻松查询values中的项目以获得您想要的内容：

print "All UIDs:",values.keys()
print "Seen UIDs:",[uid for uid,flags in values.iteritems() if r"\Seen" in flags]
print "Deleted UIDs:",[uid for uid,flags in values.iteritems() if r"\Deleted" in flags]

Answer 2

import re

data = ['1 (UID 3234 FLAGS (seen \\Seen))', '2 (UID 3235 FLAGS (\\Seen))',
 '3 (UID 3236 FLAGS (\\Deleted))', '4 (UID 3237 FLAGS (-FLAGS \\Seen +FLAGS))',
 '5 (UID 3241 FLAGS (-FLAGS \\Seen +FLAGS))', '6 (UID 3242 FLAGS (\\Seen))', 
 '7 (UID 3243 FLAGS (\\Seen))', '8 (UID 3244 FLAGS (\\Seen))', 
 '9 (UID 3245 FLAGS (\\Seen))', '10 (UID 3247 FLAGS (\\Seen))', 
'11 (UID 3252 FLAGS (\\Seen))', '12 (UID 3253 FLAGS (\\Deleted))', 
'13 (UID 3254 FLAGS ())', '14 (UID 3256 FLAGS (\\Seen))', '15 (UID 3304 FLAGS ())', 
'16 (UID 3318 FLAGS (\\Seen))', '17 (UID 3430 FLAGS (\\Seen))', 
'18 (UID 3431 FLAGS ())', '19 (UID 3434 FLAGS (\\Seen))', 
'20 (UID 3447 FLAGS (-FLAGS \\Seen +FLAGS))', '21 (UID 3478 FLAGS ())', 
'22 (UID 3479 FLAGS ())', '23 (UID 3480 FLAGS ())', '24 (UID 3481 FLAGS ())']

r = re.compile('\d+\s\(UID\s(?P<uid>\d+)\sFLAGS\s\((?P<data>.*)\)\)')
uid_list = []
seen_uid_list = []
deleted_uid_list = []
for s in data:
    m = r.match(s)
    if m:
        uid_list.append(m.group('uid'))
        if m.group('data').rfind('Seen') > 0: seen_uid_list.append(m.group('uid'))
        if m.group('data').rfind('Deleted') > 0: deleted_uid_list.append(m.group('uid'))

print uid_list
print seen_uid_list
print deleted_uid_list

Answer 3

我不确定列表推导，因为它们通常将一个列表映射到另一个列表（使用过滤或映射）。我没有看到它们被用来拆分列表。但是，您可以在单次迭代中结合使用genexp和循环。我已经把它吹了一点，所以它很清楚。

import re
grepper = re.compile(r'[0-9]+ \(UID (?P<uid>[0-9]+) FLAGS (?P<flags>\(.*\))\)')

t = [..] #your list

items = (grepper.search(m).groupdict() for m in t)

all = []
seen = []
deleted = []
for i in items:
  if "Seen" in i:
    seen.append(i["uid"])
  if "Deleted" in i:
    deleted.append(i["uid"])
  all.append(i["uid"])

你现在应该有3个清单。

Answer 4

all,deleted,seen = [list(filter(None, a)) for a in \
    zip(*map(lambda a: (a[2], '\Deleted' in a[-1] and a[2], '\Seen' in  a[-1] and a[2]), map(lambda a: a.split(' '), items)))]

使用re或不使用re会更快 - 你需要检查timeit !!!

Answer 5

这个适用于您的数据样本......

uids, seen, deleted = [], [], []
for item in myList:
    uids.append(int(item[7:12]))
    if 'Se' in item[20:]:  seen.append(uids[-1])
    elif 'De' in item[20:]: deleted.append(uids[-1])

Answer 6

all=[]
seen=[]
deleted=[]
for item in alist:
    s=item.split(" ",4)
    all.append(s[2])
    if "seen" in s[-1].lower():
        seen.append(s[2])
    elif "delete" in s[-1].lower():
        deleted.append(s[2])

Answer 7

我能想到在生成你问的三个列表的一次迭代中做到这一点的唯一方法是手动迭代。没有python魔法，我可以想出来。

如果您了解有关格式及其生成方式的详细信息，则可以轻松改进此项。我不知道为什么+ FLAGS和-FLAGS在某些项目中，例如，并且不知道何时需要括号，所以我不得不使用find（）。另外，我可以将字符串split（）分成两部分，但话又说回来，我不知道标志格式是什么意思，......

def parseList(l):
    lall = []
    lseen = []
    ldeleted = []

    for item in l:
        spl = item.split()

        uid = int(spl[2])

        lall.append(uid)

        for word in spl[4:]:
            if word.find("\Seen") != -1:
                lseen.append(uid)

            elif word.find("\Deleted") != -1:
                ldeleted.append(uid)

    return lall, lseen, ldeleted

pythonic方法优化逻辑以从列表中过滤/提取数据

7 个答案: