如何从txt文件一行的数据制作子字典?

Question

我有这个.txt文件需要转换为字典： (行的顺序可能会有所不同(

name : john doe
age : 23
gender : MALE
address : kendall 6, Miami
career: mechanical engineer
times going : 2
number of assignments : 4
semester : 4
average : 9.2
interests : gaming, robotics, drama movies
availability:
friday : 6:30 - 10:30
sunday : 12:30 - 13:30
monday : 16:30 - 18:30

输出代码应如下所示：

{'name': 'john doe',
'age': '23',
'gender': 'MALE',
'address': 'kendall 6, Miami',
'semester': '4',
'career': 'mechanical engineer',
'average': '9.2',
'times going': '2',
'number of assignments': '5',
'interests': 'gaming, robotics, drama movies',
'availability':
{'friday': (630,1030),
'sunday': (1230,1330),
'monday': (1630,1830)
}
}

至于现在，我已经成功地制作了字典，正好在这个"可用性"部分之前：

dicc={}
listRestrictions=["availability","monday","tuesday","wednesday","thursday","friday","saturday","sunday"]
for line in file:
line = line.strip("n").replace(" : ", ":").strip(" ")
key = line[: line.index(":")]
if key not in listRestrictions:
value = line[line.index(":") + 1 :]
dicc[key] = value
print(dicc)

并打印：

{'name': 'john doe', 'age': '23', 'gender': 'MALE', 'address': 'kendall 6, Miami', 'career': 'mechanical engineer', 'times going': '2', 'number of assignments': '4', 'semester': '4', 'average': '9.2', 'interests': 'gaming, robotics, drama movies'}

(请记住，它可能在.txt文件的任何文件上，并且日期将始终在"可用性"下(...我将如何将"可用性"作为值，然后将日期作为子字典，如上所示？

Answer 1

dicc={}
last_key = ''
for _line in file:
line = _line.strip("n").replace(" : ", ":")
line = line.strip(" ")
key = line[: line.index(":")]
last_key = key
value = line[line.index(":") + 1 :]
if // the first part of the line is a blank space:
dicc[last_key][key] = value
else:
dicc[key] = value
print(dicc)

Answer 2

dicc = {}
for line in file:
isAppended = line.startswith("    ")
line = line.strip("n").replace(" : ", ":").strip(" ")
value = line[line.index(":") + 1 :]
tempKey = line[: line.index(":")]
if len(value)==0:
currKey = tempKey
tempDict = {}
elif isAppended:
tempDict[tempKey] = value
dicc.update({currKey:tempDict})
else:
dicc[tempKey] = value

Answer 3

不知道为什么要尝试这种低级解析。那不是亚姆吗？这个假设让我非常接近：

import yaml
from pprint import pprint
with open('data.txt') as f:
data = yaml.load(f)

那么data这个嵌套的Python字典：

{'name': 'john doe',
'age': 23,
'gender': 'MALE',
'address': 'kendall 6, Miami',
'career': 'mechanical engineer',
'times going': 2,
'number of assignments': 4,
'semester': 4,
'average': 9.2,
'interests': 'gaming, robotics, drama movies',
'availability': {'friday': '6:30 - 10:30',
'sunday': '12:30 - 13:30',
'monday': '16:30 - 18:30'}}

剩下的差异很容易做到，因为它是一个Python数据结构。

Answer 4

我不知道你是如何拉动你的日期和时间的，但假设这些是，例如，以以下格式开始：

days = ['monday', 'tuesday', 'wednesday']
times = [(630, 1030), (830, 1400), (930, 1330)]

然后，构建可用性字典的一种方法如下：

dicc['availability'] = dict(zip(days, times))
print (dicc)