本文介绍了将pandas.tslib.Timestamp转换为datetime python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
我有一个df时间序列.我提取了索引，并希望将它们分别转换为datetime.您如何去做呢?我尝试使用pandas.to_datetime(x)，但在使用type()
I have a df time series. I extracted the indexes and want to convert them each to datetime. How do you go about doing that? I tried to use pandas.to_datetime(x) but it doesn't convert it when I check after using type()
推荐答案
只需尝试 to_datetime()
>>> import pandas as pd
>>> t = pd.tslib.Timestamp('2016-03-03 00:00:00')
>>> type(t)
pandas.tslib.Timestamp
>>> t.to_datetime()
datetime.datetime(2016, 3, 3, 0, 0)
>>> t.to_pydatetime()
datetime.datetime(2016, 3, 3, 0, 0)
更改为datetime.date类型
>>> t.date()
datetime.date(2016, 3, 3)
更新
谢谢@@ a =="https://stackoverflow.com/users/5402386/mjp"> mjp ，to_datetime()将来会被弃用，请改用to_pydatetime()！
update
Thanks, @mjp, to_datetime() will be deprecated in the future, use to_pydatetime() instead!
In [4]: t.to_datetime()
/Users/qiuwei/Library/Python/2.7/lib/python/site-packages/IPython/core/interactiveshell.py:2881: FutureWarning: to_datetime is deprecated. Use self.to_pydatetime()
exec(code_obj, self.user_global_ns, self.user_ns)
Out[4]: datetime.datetime(2016, 3, 3, 0, 0)
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