Python 大熊猫全天重复采样

我有一些数据如下：

2013-10-01 11:11:22, 12
2013-10-01 11:15:22, 12
2013-10-01 15:11:22, 12
2013-10-01 16:11:22, 12
2013-10-01 16:45:22, 12

2013-10-01 11:00:00, 2
2013-10-01 12:00:00, 0
2013-10-01 13:00:00, 0
2013-10-01 14:00:00, 0
2013-10-01 15:00:00, 1
2013-10-01 16:00:00, 2

我使用下面的代码重新采样数据：

df.resample('1H', how=lambda x: len(x))

结果如下：

2013-10-01 11:11:22, 12
2013-10-01 11:15:22, 12
2013-10-01 15:11:22, 12
2013-10-01 16:11:22, 12
2013-10-01 16:45:22, 12

2013-10-01 11:00:00, 2
2013-10-01 12:00:00, 0
2013-10-01 13:00:00, 0
2013-10-01 14:00:00, 0
2013-10-01 15:00:00, 1
2013-10-01 16:00:00, 2

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但是我想要从00:00:00到23:00:00的全天范围，如何更改重采样日期范围？

您应该首先使用

from datetime import datetime

将日期转换为datetime格式，然后使用

pd.Series（datetime.strtime…

）。检查后，您可以更轻松地操作数据。

好吧，您可以在重新采样后使用全天的小时周期索引重新编制索引。因此，类似于以下内容：

>>> rng = pd.period_range('2013-10-01',periods=24, freq='H').to_timestamp()
>>> df.resample('1H', how=lambda x: len(x)).reindex(index=rng,fill_value=0)

                     value
2013-10-01 00:00:00      0
2013-10-01 01:00:00      0
2013-10-01 02:00:00      0
2013-10-01 03:00:00      0
2013-10-01 04:00:00      0
2013-10-01 05:00:00      0
2013-10-01 06:00:00      0
2013-10-01 07:00:00      0
2013-10-01 08:00:00      0
2013-10-01 09:00:00      0
2013-10-01 10:00:00      0
2013-10-01 11:00:00      2
2013-10-01 12:00:00      0
2013-10-01 13:00:00      0
2013-10-01 14:00:00      0
2013-10-01 15:00:00      1
2013-10-01 16:00:00      2
2013-10-01 17:00:00      0
2013-10-01 18:00:00      0
2013-10-01 19:00:00      0
2013-10-01 20:00:00      0
2013-10-01 21:00:00      0
2013-10-01 22:00:00      0
2013-10-01 23:00:00      0

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这是DateTime，否则我无法重新采样。