Python 如何正确地向pandas.tseries.index.DatetimeIndex 添加小时数？
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How to properly add hours to a pandas.tseries.index.DatetimeIndex?
提问by hernanavella
I have a normal df.index that I would like to add some hours to it.
我有一个普通的 df.index，我想为其添加几个小时。
In [1]: test[1].index
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2010-03-11, ..., 2014-08-14]
Length: 52, Freq: None, Timezone: None
This is how the first element looks like:
这是第一个元素的样子：
In [1]: test[1].index[0]
Out[2]: Timestamp('2010-03-11 00:00:00')
So I try this to add the hours:
所以我尝试这样添加小时数：
In [1]: test[1].index[0] + pd.tseries.timedeltas.to_timedelta(16, unit='h')
However I get this:
但是我得到了这个：
Out[2]: Timestamp('2010-03-11 00:00:00.000000016')
But I would like to get this:
但我想得到这个：
Out[2]: Timestamp('2010-03-11 16:00:00')
What I am missing?. The enviroment is Anaconda (latest) Python 2.7.7, iPython 2.2
我缺少什么？。环境是Anaconda（最新）Python 2.7.7，iPython 2.2
Thanks a lot
非常感谢
采纳答案by unutbu
You can use pd.DateOffset:
您可以使用pd.DateOffset：
test[1].index + pd.DateOffset(hours=16)
pd.DateOffsetaccepts the same keyword arguments as dateutil.relativedelta.
pd.DateOffset接受与dateutil.relativedelta相同的关键字参数。
The problem you encountered was due to this bug which has been fixed in Pandas version 0.14.1:
您遇到的问题是由于此错误已在 Pandas 版本 0.14.1 中修复：
In [242]: pd.to_timedelta(16, unit='h')
Out[242]: numpy.timedelta64(16,'ns')
If you upgrade, your original code should work.
如果您升级，您的原始代码应该可以工作。
