H:M:S 按时间降序排序列表 Python 格式

Question

我正在尝试订购如下所示的列表：

['2017-11-03 15:21:00', '2017-11-03 15:03:00', '2017-11-03 15:11:00', '2017-11-03 15:52:00', '2017-11-03 14:37:00', '2017-11-03 14:32:00', '2017-11-03 15:20:00', '2017-11-03 14:30:00', '2017-11-03 14:43:00', '2017-11-03 14:58:00', '2017-11-03 15:58:00', '2017-11-03 15:42:00', '2017-11-03 14:59:00', '2017-11-03 15:40:00', '2017-11-03 14:35:00', '2017-11-03 14:21:00', '2017-11-03 15:26:00', '2017-11-03 15:50:00', '2017-11-03 15:13:00', '2017-11-03 15:53:00', '2017-11-03 14:40:00', '2017-11-03 15:16:00', '2017-11-03 14:45:00', '2017-11-03 15:33:00', '2017-11-03 15:35:00', '2017-11-03 15:36:00', '2017-11-03 14:23:00', '2017-11-03 15:10:00', '2017-11-03 15:37:00', '2017-11-03 14:54:00', '2017-11-03 15:44:00', '2017-11-03 15:23:00', '2017-11-03 14:47:00', '2017-11-03 15:43:00', '2017-11-03 14:48:00', '2017-11-03 14:41:00', '2017-11-03 15:45:00', '2017-11-03 15:09:00', '2017-11-03 15:06:00', '2017-11-03 15:08:00', '2017-11-03 14:57:00', '2017-11-03 15:17:00', '2017-11-03 14:52:00', '2017-11-03 15:14:00', '2017-11-03 15:19:00', '2017-11-03 15:25:00', '2017-11-03 15:48:00', '2017-11-03 15:24:00', '2017-11-03 15:57:00', '2017-11-03 15:28:00', '2017-11-03 15:34:00', '2017-11-03 15:59:00', '2017-11-03 14:53:00', '2017-11-03 14:50:00', '2017-11-03 14:55:00', '2017-11-03 15:56:00', '2017-11-03 15:46:00', '2017-11-03 15:32:00', '2017-11-03 16:00:00', '2017-11-03 15:29:00', '2017-11-03 14:34:00', '2017-11-03 15:04:00', '2017-11-03 14:38:00', '2017-11-03 15:07:00', '2017-11-03 14:39:00', '2017-11-03 14:25:00', '2017-11-03 14:51:00', '2017-11-03 14:33:00', '2017-11-03 14:46:00', '2017-11-03 14:22:00', '2017-11-03 15:47:00', '2017-11-03 14:42:00', '2017-11-03 15:27:00', '2017-11-03 15:41:00', '2017-11-03 15:55:00', '2017-11-03 15:31:00', '2017-11-03 14:56:00', '2017-11-03 14:49:00', '2017-11-03 15:39:00', '2017-11-03 15:01:00', '2017-11-03 14:29:00', '2017-11-03 14:27:00', '2017-11-03 14:44:00', '2017-11-03 15:49:00', '2017-11-03 15:30:00', '2017-11-03 15:51:00', '2017-11-03 15:54:00', '2017-11-03 15:22:00', '2017-11-03 14:31:00', '2017-11-03 14:28:00', '2017-11-03 14:26:00', '2017-11-03 15:15:00', '2017-11-03 14:24:00', '2017-11-03 15:00:00', '2017-11-03 15:38:00', '2017-11-03 14:36:00', '2017-11-03 15:18:00', '2017-11-03 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', '2017-11-03 15:59:00', '2017-11-03 15:58:00' etc...]

我想知道如何完成这个，但我也想知道如何通过将它们按顺序放入列表中来抢先解决问题。

我正在从 https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=MSFT&interval=1min&apikey=demo

的 json 创建列表

我只是将每个项目附加到这样的列表中：

times = []
if (interval == '1min'):
   for item in data['Time Series (1min)']:
       times.append(item)

但是我得到的是较早的列表，但顺序不对，即使你访问网页，时间是降序排列的。

感谢所有帮助！

Answer 1

字符串未正确排序，因为它们来自 JSON 字典。当 JSON 转换为 Python 对象时，字符串落在 Python 字典中，该字典未排序。

你只需要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']

格式很方便，因为按字典顺序排序字符串会按时间顺序排序。