使用 pandas 创建每小时/分钟的时间范围

本文介绍了使用 pandas 创建每小时/分钟的时间范围的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

有没有一种方法可以在大熊猫中生成类似于date_range的时间范围? 像这样:

Is there a way to generate time range in pandas similar to date_range? something like:

pandas.time_range("11:00", "21:30", freq="30min")

推荐答案

时间范围不存在为独立索引类型.使用单个日期生成

A time range doesn't exist as a standalone index type. Generate using a single date

In [1]: pandas.date_range("11:00", "21:30", freq="30min") Out[1]: <class 'pandas.tseries.index.DatetimeIndex'> [2013-07-14 11:00:00, ..., 2013-07-14 21:30:00] Length: 22, Freq: 30T, Timezone: None

时间对象

In [2]: pandas.date_range("11:00", "21:30", freq="30min").time Out[2]: array([datetime.time(11, 0), datetime.time(11, 30), datetime.time(12, 0), datetime.time(12, 30), datetime.time(13, 0), datetime.time(13, 30), datetime.time(14, 0), datetime.time(14, 30), datetime.time(15, 0), datetime.time(15, 30), datetime.time(16, 0), datetime.time(16, 30), datetime.time(17, 0), datetime.time(17, 30), datetime.time(18, 0), datetime.time(18, 30), datetime.time(19, 0), datetime.time(19, 30), datetime.time(20, 0), datetime.time(20, 30), datetime.time(21, 0), datetime.time(21, 30)], dtype=object)

如果您跨越多个日期，还可以重新采样.

You can also resample if you are spanning multiple dates.

您打算做什么?