如何正确地将小时数添加到 pandas.tseries.index.Dat

How to properly add hours to a pandas.tseries.index.DatetimeIndex?(如何正确地将小时数添加到 pandas.tseries.index.DatetimeIndex?)

问题描述

我有一个普通的 df.index，我想增加几个小时.

I have a normal df.index that I would like to add some hours to it.

In [1]: test[1].index
Out[2]: 
<class 'pandas.tseries.index.DatetimeIndex'>
[2010-03-11, ..., 2014-08-14]
Length: 52, Freq: None, Timezone: None

这是第一个元素的样子:

This is how the first element looks like:

In [1]: test[1].index[0]
Out[2]: Timestamp('2010-03-11 00:00:00')

所以我试试这个来增加时间:

So I try this to add the hours:

In [1]: test[1].index[0] + pd.tseries.timedeltas.to_timedelta(16, unit='h')

但是我明白了:

Out[2]: Timestamp('2010-03-11 00:00:00.000000016')

但我想得到这个:

Out[2]: Timestamp('2010-03-11 16:00:00')

我错过了什么?环境是 Anaconda (latest) Python 2.7.7, iPython 2.2

What I am missing?. The enviroment is Anaconda (latest) Python 2.7.7, iPython 2.2

非常感谢

推荐答案

你可以使用pd.DateOffset:

test[1].index + pd.DateOffset(hours=16)

pd.DateOffset 接受与 dateutil.relativedelta 相同的关键字参数.

pd.DateOffset accepts the same keyword arguments as dateutil.relativedelta.

您遇到的问题是由于此错误，该错误已在 Pandas 版本 0.14.1 中修复:

The problem you encountered was due to this bug which has been fixed in Pandas version 0.14.1:

In [242]: pd.to_timedelta(16, unit='h')
Out[242]: numpy.timedelta64(16,'ns')

如果您升级，您的原始代码应该可以工作.

If you upgrade, your original code should work.

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