我正在尝试订购一个看起来像这样的列表：
[‘2017-11-03 15:21:00’，‘2017-11-04 15:03:00’，‘2017 11-03 15:11:00’，"2017-11-03 15:52:00"，"2017-11-07 14:37:00"，"2017-11-03 14:32:00"，"2017-11-03 15:20:00"，"2017-11-07 14:30:00"，"2017 11-03 14:43:00"，"2017-11-03 14:58:00"、"2017-11-07 15:58:00"one_answers"2017-11-06 15:42:00"，"2017-11-03 14:59:00"，"2017-11-04 15:40:00"，"2017-11-03 14:21:00"，"2017-11-07 15:26:00"，"2017 11-03 15:50:00"，"2017-11-03 15:13:00"，"2017-11-07 15:53:00"，"2017 11-03 14:40:00"，"2017-11-03 15:16:00"，"2017-11-07 14:45:00"，"2017 11-03 15:33:00"，"2017-11-03 15:35:00"，"2017-11-07 15:36:00"，"2017-11-03 14:23:00"，"2017-11-03 15:10:00"，"2017-11-07 15:37:00"，"2017 11-03 14:54:00"，"2017-11-03 15:44:00"，"2017-11-07 15:23:00"，"2017 11-03 14:47:00"，"2017-11-03 15:43:00"，"2017-11-07 14:48:00"，"2017-11-03 14:41:00"，"2017-11-03 15:45:00"，"2017-11-07 15:09:00"，"2017 11-03 15:06:00"，"2017-11-03 15:08:00"，"2017-11-07 14:57:00"，"2017 11-03 15:17:00"，"2017-11-03 14:52:00"，"2017-11-07 15:14:00"，"2017 11-03 15:19:00"，"2017-11-03 15:25:00"，"2017-11-07 15:48:00"，"2017 11-03 15:24:00"，"2017-11-03 15:57:00"，"2017-11-07 15:28:00"，"2017-11-03 15:59:00"，"2017-11-07 14:53:00"，"2017-11-03 14:50:00"，"2017-11-03 14:55:00"，"2017-11-07 15:56:00"，"2017-11-03 15:46:00"，‘2017-11-03 15:32:00’，‘2017-11-06 16:00:00’，‘2017 11-03 15:29:00’，"2017-11-03 14:34:00"，"2017-11-04 15:04:00"，"2017-11-03 15:07:00"，"2017-11-07 14:39:00"，"2017-11-03 14:25:00"，"2017-11-03 14:51:00"，"2017-11-04 14:33:00"，"2017-11-03 14:22:00"，"2017-11-07 15:47:00"，"2017 11-03 14:42:00"，"2017-11-03 15:27:00"，"2017-11-07 15:41:00"，"2017-11-03 15:31:00"，"2017-11-07 14:56:00"，"2017-11-03 14:49:00"，"2017-11-03 15:39:00"，"2017-11-07 15:01:00"，"2017 11-03 14:29:00"，"2017-11-03 14:27:00"，"2017-11-04 14:44:00"，"2017-11-03 15:49:00"，"2017-11-03 15:30:00"，"2017-11-07 15:51:00"，"2017-11-03 15:22:00"，"2017-11-07 14:31:00"，"2017 11-03 14:28:00"，"2017-11-03 14:26:00"，"2017-11-07 15:15:00"，"2017 11-03 14:24:00"，"2017-11-03 15:00:00"，"2017-11-07 15:38:00"，"2017 11-03 14:36:00"，"2017-11-03 15:18:00"、"2017-11-07 15:05:00"、"2017 11-03 15:12:00"，'2017-11-03 15:02:00']
所以它看起来像：
[‘2017-11-03 16:00:00’、‘2017-11-04 15:59:00’、‘201711-03 15:58:00’等…]
我想知道如何做到这一点，但我也很想知道如何通过将它们按顺序放在列表中来先发制人地解决问题。
我正在从https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol＝MSFT&间隔=1min&apikey=演示
我只是把每一项都附加到这样的列表中：
times = []
if (interval == '1min'):
for item in data['Time Series (1min)']:
times.append(item)
但我得到了前面的列表，它没有按顺序排列，即使你访问网页，时间也是按降序排列的。
感谢所有的帮助！
字符串没有正确排序，因为它们来自JSON字典。当JSON被转换为Python对象时，字符串会落在Python dict中，该dict不会排序。
您只需要sorted:
>>> sorted(times, reverse=True)
['2017-11-03 16:00:00', '2017-11-03 15:59:00', '2017-11-03 15:58:00', '2017-11-03 15:57:00', '2017-11-03 15:56:00', '2017-11-03 15:55:00', '2017-11-03 15:54:00', '2017-11-03 15:53:00', '2017-11-03 15:52:00', '2017-11-03 15:51:00', '2017-11-03 15:50:00', '2017-11-03 15:49:00', '2017-11-03 15:48:00', '2017-11-03 15:47:00', '2017-11-03 15:46:00', '2017-11-03 15:45:00', '2017-11-03 15:44:00', '2017-11-03 15:43:00', '2017-11-03 15:42:00', '2017-11-03 15:41:00', '2017-11-03 15:40:00', '2017-11-03 15:39:00', '2017-11-03 15:38:00', '2017-11-03 15:37:00', '2017-11-03 15:36:00', '2017-11-03 15:35:00', '2017-11-03 15:34:00', '2017-11-03 15:33:00', '2017-11-03 15:32:00', '2017-11-03 15:31:00', '2017-11-03 15:30:00', '2017-11-03 15:29:00', '2017-11-03 15:28:00', '2017-11-03 15:27:00', '2017-11-03 15:26:00', '2017-11-03 15:25:00', '2017-11-03 15:24:00', '2017-11-03 15:23:00', '2017-11-03 15:22:00', '2017-11-03 15:21:00', '2017-11-03 15:20:00', '2017-11-03 15:19:00', '2017-11-03 15:18:00', '2017-11-03 15:17:00', '2017-11-03 15:16:00', '2017-11-03 15:15:00', '2017-11-03 15:14:00', '2017-11-03 15:13:00', '2017-11-03 15:12:00', '2017-11-03 15:11:00', '2017-11-03 15:10:00', '2017-11-03 15:09:00', '2017-11-03 15:08:00', '2017-11-03 15:07:00', '2017-11-03 15:06:00', '2017-11-03 15:05:00', '2017-11-03 15:04:00', '2017-11-03 15:03:00', '2017-11-03 15:02:00', '2017-11-03 15:01:00', '2017-11-03 15:00:00', '2017-11-03 14:59:00', '2017-11-03 14:58:00', '2017-11-03 14:57:00', '2017-11-03 14:56:00', '2017-11-03 14:55:00', '2017-11-03 14:54:00', '2017-11-03 14:53:00', '2017-11-03 14:52:00', '2017-11-03 14:51:00', '2017-11-03 14:50:00', '2017-11-03 14:49:00', '2017-11-03 14:48:00', '2017-11-03 14:47:00', '2017-11-03 14:46:00', '2017-11-03 14:45:00', '2017-11-03 14:44:00', '2017-11-03 14:43:00', '2017-11-03 14:42:00', '2017-11-03 14:41:00', '2017-11-03 14:40:00', '2017-11-03 14:39:00', '2017-11-03 14:38:00', '2017-11-03 14:37:00', '2017-11-03 14:36:00', '2017-11-03 14:35:00', '2017-11-03 14:34:00', '2017-11-03 14:33:00', '2017-11-03 14:32:00', '2017-11-03 14:31:00', '2017-11-03 14:30:00', '2017-11-03 14:29:00', '2017-11-03 14:28:00', '2017-11-03 14:27:00', '2017-11-03 14:26:00', '2017-11-03 14:25:00', '2017-11-03 14:24:00', '2017-11-03 14:23:00', '2017-11-03 14:22:00', '2017-11-03 14:21:00']
这种格式很方便，因为按字典顺序对字符串进行排序会按时间顺序进行排序。