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<p>我有一个字符串列表,列表中的每个元素都有几个用冒号分隔的字符串。我正在尝试将每个元素转换为字典。例如,我的列表中的一个元素如下所示:</p>
<pre><code>attributesList[0]
Out: 'Health Score: A, Happy Hour Specials: Yes, Vegan Options: Yes, Takes Reservations: Yes, Delivery: No, Take-out: Yes, Accepts Credit Cards: Yes, Good For: Brunch, Lunch, Dinner, Parking: Street, Bike Parking: Yes, Wheelchair Accessible: Yes, Good for Kids: No, Good for Groups: Yes, Ambience: Casual, Trendy, Classy, Noise Level: Average, Alcohol: Beer &amp; Wine Only, Good For Happy Hour: Yes, Outdoor Seating: Yes, Wi-Fi: Free, Has TV: No, Waiter Service: Yes, Caters: No, Gender Neutral Restrooms: Yes'
</code></pre>
<p>基于<a href="https://stackoverflow.com/questions/51933112/how-to-convert-list-of-string-to-dictionary-in-python">link 1</a>和<a href="https://stackoverflow.com/questions/42059332/converting-colon-separated-list-into-a-dict">link 2</a>中的解决方案,我尝试了以下方法:</p>
<pre><code>attributesDict = dict(s.split(':') for s in attributesList)
attributesDict = dict(map(str.strip, s.split(':')) for s in attributesList)
attributesDict = dict(map(lambda s : s.split(':') for s in attributesList))
</code></pre>
<p>但在每种方法中,我都会收到如下所示的错误消息:</p>
<pre><code>ValueError: dictionary update sequence element #0 has length 24; 2 is required
ValueError: dictionary update sequence element #0 has length 24; 2 is required
TypeError: map() must have at least two arguments.
</code></pre>
<p>我研究了一个解决方案<a href="https://stackoverflow.com/questions/14302248/dictionary-update-sequence-element-0-has-length-3-2-is-required">here</a>,但我不清楚如何在我的环境中解决这个问题。我还有点担心冒号后面的字符串中出现多个项目,如下例所示:</p>
<pre><code> Good For: Brunch, Lunch, Dinner,
</code></pre>
<p>我可以将冒号后面的三个项目作为值捕获到字典中吗?我怎样才能达到我想要达到的目标</p>
<p><strong>编辑:在下面添加所需的输出</p>
<pre><code>attributesDict[0]
Out: {'Health Score': 'A', 'Happy Hour Specials': 'Yes', 'Vegan Options': 'Yes', 'Takes Reservations': 'Yes', 'Delivery': 'No', 'Take-out': 'Yes', 'Accepts Credit Cards': 'Yes', 'Good For': 'Brunch, Lunch, Dinner', 'Parking': 'Street', 'Bike Parking': 'Yes', 'Wheelchair Accessible': 'Yes', 'Good for Kids': 'No', 'Good for Groups': 'Yes', 'Ambience': 'Casual, Trendy, Classy', 'Noise Level': 'Average', 'Alcohol': 'Beer &amp; Wine Only', 'Good For Happy Hour': 'Yes', 'Outdoor Seating': 'Yes', 'Wi-Fi': 'Free', 'Has TV': 'No', 'Waiter Service': 'Yes', 'Caters': 'No', 'Gender Neutral Restrooms': 'Yes'}
</code></pre>