Question

我想在Pandas中创建两个具有相同日期格式的不同数据帧，原始CSV文件有两种不同的日期格式。我需要在to_datetime函数中使用什么来以相同的日期格式获取这些数据帧？

#DF1 (year, month day, time)

Date                        Event
2017, February 03, 09:30    (United States) Unemployment Rate
2017, February 03, 09:30    (United States) Nonfarm Payrolls
2017, February 03, 11:00    (United States) ISM Non-Manufacturing PMI


#DF2 (day.month.year time)

Local time              Open    High    Low     Close
03.02.2017 08:30:00.000 1.07363 1.0775  1.07134 1.0762
03.02.2017 08:35:00.000 1.07626 1.07669 1.07324 1.07375
03.02.2017 08:40:00.000 1.07372 1.07585 1.0736  1.0758
03.02.2017 08:45:00.000 1.0758  1.07626 1.07481 1.07487
03.02.2017 08:50:00.000 1.07488 1.07519 1.0745  1.07515
03.02.2017 08:55:00.000 1.07518 1.07573 1.07478 1.07562
03.02.2017 09:00:00.000 1.07561 1.07729 1.07559 1.07694
03.02.2017 09:05:00.000 1.07693 1.07784 1.07687 1.07757
03.02.2017 09:10:00.000 1.07756 1.07825 1.07669 1.07688

Answer 1

这将为您提供相同的日期时间格式，但您没有准确指定它们所需的格式，因此请告诉我们，我可以更新此答案。

import pandas as pd

df = pd.DataFrame({'dates':['2017, February 03, 09:30','2017, February 03, 09:45']})
df2 = pd.DataFrame({'dates':['03.02.2017 08:30:00.00', '03.02.2017 08:35:00.000']})

df['dates'] = pd.to_datetime(df['dates'])
df2['dates'] = pd.to_datetime(df2['dates'])

Answer 2

我认为首先需要从第二个数据帧中删除最后三个0。然后在数据框中添加您想要的任何一个日期的日期格式。请参考以下代码：

df = pd.DataFrame({'dates':['2017, February 03, 09:30','2017, February 03, 09:45']})
df2 = pd.DataFrame({'dates':['03.02.2017 08:30:00.000', '03.02.2017 08:35:00.000']})
df2['dates'] = df2['dates'].astype(str).str[:-4].astype(str)
df["dates"] = pd.to_datetime(df["dates"])
df2["dates"] = pd.to_datetime(df2["dates"],format='%d.%m.%Y %H:%M:%S')

输出：

>>>df
            dates
0 2017-02-03 09:30:00
1 2017-02-03 09:45:00
>>>df2
            dates
0 2017-02-03 08:30:00
1 2017-02-03 08:35:00

两个数据帧的Pandas to_datetime需要相同的日期格式

2 个答案: