从文本文件中读取（有点）非结构化数据以创建 Python 字典

Question

我在名为 'user_table.txt' 的文本文件中有以下数据：

Jane - valentine4Me
Billy 
Billy - slick987
Billy - monica1600Dress
 Jason - jason4evER
Brian - briguy987321CT
Laura - 100LauraSmith
   Charlotte - beutifulGIRL!
  Christoper - chrisjohn

我正在尝试使用以下代码将此数据读入 Python 字典：

users = {}

with open("user_table.txt", 'r') as file:
    for line in file:
        line = line.strip()
        
        # if there is no password
        if '-' in line == False:
            continue
        
        # otherwise read into a dictionary
        else:
            key, value = line.split('-')
            users[key] = value
            
print(users)

我收到以下错误：

ValueError: not enough values to unpack (expected 2, got 1)

这很可能是因为 Billy 的第一个实例没有 '-' 可以拆分。

如果是这种情况，解决此问题的最佳方法是什么？

谢谢！

Answer 1

你的条件有误，必须是：

for line in file:
    line = line.strip()

    # if there is no password
    # if '-' not in line: <- another option
    if ('-' in line) == False:
        continue

    # otherwise read into a dictionary
    else:
        key, value = line.split('-')
        users[key] = value

或

for line in file:
    line = line.strip()

    # if there is password
    if '-' in line:
        key, value = line.split('-')
        users[key] = value

从文本文件中读取（有点）非结构化数据以创建 Python 字典

Reading (somewhat) unstructured data from a text file to create Python Dictionary

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