Question

我有以下类型的文档，其中每个人可能有几个名称和相关的功能描述：

新人

name: ana
name: anna
name: ann
feature: A 65-year old woman that has no known health issues but has a medical history of Schizophrenia.

新人

name: tom
name: thomas
name: thimoty
name: tommy
feature: A 32-year old male that is known to be deaf.

新人

.....

我想要的是在python词典中读取此文件，其中每个新人都被识别。
ID为1的人将拥有['ann'，'anna'，'ana']的名字并将具有['一位65岁的女性，她没有已知的健康问题，但有精神分裂症的病史。' ]

有什么建议吗？

Answer 1

假设您的输入文件为lo.txt。它可以通过这种方式添加到字典中：

file = open('lo.txt')
final_data = []
feature = []
names = []
for line in file.readlines():
    if ("feature") in line:
        data =  line.replace("\n","").split(":")
        feature=data[1]
        final_data.append({
        'names': names,
        'feature': feature
        })
        names = []
        feature = []
    if ("name") in line:
        data =  line.replace("\n","").split(":")
        names.append(data[1])

print final_data

Answer 2

这样的事情可能会起作用

result = {}
f = open("document.txt")
contents = f.read()
info = contents.split('==== new person ===')

for i in range(len(info)):
    info[i].split('\n')
    names = []
    features = []

    for j in range(len(info[i])):
         info[i][j].split(':')

         if info[i][j][0] == 'name':
             names.append(info[i][j][1])

         else:
             features.append(info[i][j][1])

    result[i] = {'names': names,'features': features}
    print(result)

这应该给你类似的东西：

{0: {'names': ['ana', 'anna', 'ann'], features:['...', '...']}}

e.t.c

Answer 3

以下是可能适合您的代码：

f = open("documents.txt").readlines()

f = [i.strip('\n') for i in f]


final_condition = f[len(f)-1]

f.remove(final_condition)

names = [i.split(":")[1] for i in f]


the_dict = {}



the_dict["names"] = names
the_dict["features"] = final_condition

print the_dict

它只是将名称拆分为“：”并取结果列表的最后一个元素（名称）并保留列表名称。

将txt文件读入字典

3 个答案: