如何通过缩进在拆分行中打印行？

Question

我有字符串：

text = '''TextTextTextTextTextTextTextTextText1
        TextTextTextTextTextTextTextTextText1
    TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
    TextTextTextTextTextTextTextTextText3
        TextTextTextTextTextTextTextTextText3
        TextTextTextTextTextTextTextTextText3
    TextTextTextTextTextTextTextTextText4
        TextTextTextTextTextTextTextTextText4
        TextTextTextTextTextTextTextTextText4'''

我想按缩进分割这个字符串，并将它们添加到列表中。这是我目前的代码：

nr_lines = 0
indent_dict = {}
for line in summary1.splitlines(True):
    print(line)
    print("------------------------------")
    nr_lines+=1
    whitespaces_count = len(line) - len(line.lstrip())
    indent_dict[nr_lines] = whitespaces_count
print(indent_dict)

list_of_values = []

# Removed first key with value (indent) = 0
indent_dict_without = dict(indent_dict)
key = 1
del indent_dict_without[key]

# Adding values from dict to list
for key, value in indent_dict_without.items():
    list_of_values.append(value)
print(list_of_values)

# Finding minimum value
x = min(list_of_values)

list_of_small = []

for nr in list_of_values:
    if nr == x:
        list_of_small.append(nr)

print(list_of_small)

# Finding which line have all smallest indent
n = 0
key_1 = []
for key, value in indent_dict.items():
    if value == list_of_small[n]:
        key_1.append(key)
print(key_1)

输出为：

{1: 0, 2: 12, 3: 8, 4: 12, 5: 12, 6: 12, 7: 12, 8: 8, 9: 12, 10: 12, 11: 8, 12: 12, 13: 12} # dict with line and value (indent)
[12, 8, 12, 12, 12, 12, 8, 12, 12, 8, 12, 12] # list with indents
[8, 8, 8] # the smallest indents
[3, 8, 11] # lines for smallest indents

现在，我不知道如何拆分和添加这4个部分作为列表的元素：

list = ['TextTextTextTextTextTextTextTextText1
            TextTextTextTextTextTextTextTextText1',
        'TextTextTextTextTextTextTextTextText2
            TextTextTextTextTextTextTextTextText2
            TextTextTextTextTextTextTextTextText2
            TextTextTextTextTextTextTextTextText2
            TextTextTextTextTextTextTextTextText2',
        'TextTextTextTextTextTextTextTextText3
            TextTextTextTextTextTextTextTextText3
            TextTextTextTextTextTextTextTextText3',
        'TextTextTextTextTextTextTextTextText4
            TextTextTextTextTextTextTextTextText4
            TextTextTextTextTextTextTextTextText4']

我是否应该创建一个新变量并逐个添加行，直到新的缩进

Answer 1

如果我理解正确，您希望根据缩进最小的行将文本拆分为平行图

我的方法如下。我将创建一个defaultdict，其中包含构成缩进的空格的数量作为键，以及包含具有此缩进计数的行的所有索引的列表作为值：

from collections import defaultdict

text = '''TextTextTextTextTextTextTextTextText1
        TextTextTextTextTextTextTextTextText1
    TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
        TextTextTextTextTextTextTextTextText2
    TextTextTextTextTextTextTextTextText3
        TextTextTextTextTextTextTextTextText3
        TextTextTextTextTextTextTextTextText3
    TextTextTextTextTextTextTextTextText4
        TextTextTextTextTextTextTextTextText4
        TextTextTextTextTextTextTextTextText4'''

def count_indentation(line):
    return len(line) - len(line.lstrip())

lines = text.splitlines(keepends=False)
indent_dict = defaultdict(list)
for idx, line in enumerate(lines):
    if count_indentation(line) > 0:
        indent_dict[count_indentation(line)].append(idx)

现在indent_dict看起来像：

defaultdict(list, {8: [1, 3, 4, 5, 6, 8, 9, 11, 12], 4: [2, 7, 10]})

接下来，我们使用最小的键来查找相关行的索引：

smallest_indent = min(indent_dict)
line_idexes_smallest_indents = indent_dict[smallest_indent]

line_idexes_smallest_indents的结果是[2, 7, 10]。索引是基于零的，所以这就是为什么我的索引都比你的结果少一个。现在我们需要根据这些索引对原始文本进行分区

def partition(lines, indices):
    return [''.join(lines[i:j]) for i, j in zip([0]+indices, indices+[None])]

partition(lines, line_idexes_smallest_indents)

结果:

['TextTextTextTextTextTextTextTextText1        TextTextTextTextTextTextTextTextText1',
 '    TextTextTextTextTextTextTextTextText2        TextTextTextTextTextTextTextTextText2        TextTextTextTextTextTextTextTextText2        TextTextTextTextTextTextTextTextText2        TextTextTextTextTextTextTextTextText2',
 '    TextTextTextTextTextTextTextTextText3        TextTextTextTextTextTextTextTextText3        TextTextTextTextTextTextTextTextText3',
 '    TextTextTextTextTextTextTextTextText4        TextTextTextTextTextTextTextTextText4        TextTextTextTextTextTextTextTextText4']