Pandas date_range 从 DatetimeIndex 到 Date 格式
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Pandas date_range from DatetimeIndex to Date format
提问by Jason Strimpel
Pandas date_rangereturns a pandas.DatetimeIndexwhich has the indexes formatted as a timestamps (date plus time). For example:
Pandasdate_range返回一个pandas.DatetimeIndex索引格式为时间戳（日期加时间）的 。例如：
In [114] rng=pandas.date_range('1/1/2013','1/31/2013',freq='D')
In [115] rng
Out [116]
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00, ..., 2013-01-31 00:00:00]
Length: 31, Freq: D, Timezone: None
Given I am not using timestamps in my application, I would like to convert this index to a date such that:
鉴于我没有在我的应用程序中使用时间戳，我想将此索引转换为一个日期，以便：
In [117] rng[0]
Out [118]
<Timestamp: 2013-01-02 00:00:00>
Will be in the form 2013-01-02.
将在表格中2013-01-02。
I am using pandas version 0.9.1
我正在使用Pandas版本 0.9.1
采纳答案by unutbu
to_pydatetimereturns a NumPy array of Python datetime.datetimeobjects:
to_pydatetime返回 Pythondatetime.datetime对象的 NumPy 数组：
In [8]: dates = rng.to_pydatetime()
In [9]: print(dates[0])
2013-01-01 00:00:00
In [10]: print(dates[0].strftime('%Y-%m-%d'))
2013-01-01
回答by mmngreco
For me the current answer is not satisfactory because internally it is still stored as a timestamp with hours, minutes, seconds.
对我来说，当前的答案并不令人满意，因为在内部它仍然存储为带有小时、分钟、秒的时间戳。
Pandas version : 0.22.0
Pandas版本：0.22.0
My solution has been to convert it to datetime.date:
我的解决方案是将其转换为datetime.date：
In[30]: import pandas as pd
In[31]: rng = pd.date_range('1/1/2013','1/31/2013', freq='D')
In[32]: date_rng = rng.date # Here it becomes date
In[33]: date_rng[0]
Out[33]: datetime.date(2013, 1, 1)
In[34]: print(date_rng[0])
2013-01-01
