拆分直线和线条

Question

所以，我想知道如何拆分文件的行并将它们放入列表中？我测试了一段代码，它只适用于列表的一部分，而不适用于其他部分：

该文件如下所示：

Rank Ballots

Riding 0

NDP LIBERAL GREEN CPC

NDP GREEN LIBERAL CPC

CPC LIBERAL GREEN NDP

NDP GREEN LIBERAL CPC


Riding 1

NDP LIBERAL GREEN CPC

LIBERAL GREEN NDP CPC

NDP GREEN LIBERAL CPC

LIBERAL GREEN NDP CPC

NDP GREEN LIBERAL CPC

以此类推。

这是前半部分的代码，代码为0: line = f.readline()

 while line !='':
    district = str.split(line)
    line = f.readline()
    a.append(district)
print(a)

这是我为后半段做的代码：

header = f.readline().rstrip() 
riding = f.readline().rstrip()
riding = f.readline().rstrip()
votes = []

while riding !='':
    rank = str.split(riding)
    votes = []
    while rank != '':
        votes.append(rank)
        rank = str.split(riding)
        riding = f.readline().rstrip()

    print(votes)
    riding = f.readline().rstrip()

当我打印时，它只是一个空白。我想知道是否有人能帮上忙。输出应该是每次骑行列表的列表。因此，对于骑行0:它将是[行1，行2等]和骑行1：[行1，行2]等。

Answer 1

这应该能帮你解决这个问题-

import re

f = open('x.txt')
d = [l.strip() for l in f.readlines() if l.strip()]

groups   = {}
curr_key = ''
for line in d:
    if re.search('Riding [0-9]+', line):
        curr_key = line
        groups[curr_key] = []
    elif curr_key:
        groups[curr_key].append([line])

print groups

>>> {'Riding 1': [['NDP LIBERAL GREEN CPC'], ['LIBERAL GREEN NDP CPC'], ['NDP GREEN LIBERAL CPC'], ['LIBERAL GREEN NDP CPC'], ['NDP GREEN LIBERAL CPC']], 'Riding 0': [['NDP LIBERAL GREEN CPC'], ['NDP GREEN LIBERAL CPC'], ['CPC LIBERAL GREEN NDP'], ['NDP GREEN LIBERAL CPC']]}

Answer 2

这就是我为你编写的代码。希望它能起作用

FileStream f = new Filestream(path,FileMode.Open);
StreamReader sf = new StreamReader(f);

这里

while !sf.EndOfStream:
    district = str.split(' ')
    line = f.readline()
    a.append(district)
print(a)

你在str.split(' ')失败了；

Answer 3

lines = [L.strip() for L in f if L.strip()][1:]

data = []
group = []

for L in lines:
    if L.startswith('Riding'):
        if group:
            data.append(group)
        group = []
        continue
    group.append(L.split())

print(data)

输出：

[[['NDP', 'LIBERAL', 'GREEN', 'CPC'], ['NDP', 'GREEN', 'LIBERAL', 'CPC'], ['CPC', 'LIBERAL', 'GREEN', 'NDP'], ['NDP', 'GREEN', 'LIBERAL', 'CPC']]]