pandas Python:KeyError日期 [英] Pandas Python: KeyError Date

问题描述

我导入python，它将自动创建日期时间对象.

I am import into python where it will automatically create a date time object.

但是我希望第一列是Python中的datetime对象.数据看起来像

However I want the first column to be a datetime object in Python. Data looks like

Date,cost
41330.66667,100
41331.66667,101
41332.66667,102
41333.66667,103

当前代码如下:

from datetime import datetime
import pandas as pd

data = pd.read_csv(r"F:\Sam\PJ\CSV2.csv")
data['Date'].apply(lambda x: datetime.strptime(x, '%d/%m/%Y'))

print(data)

推荐答案

这看起来像是Excel日期时间格式.这称为序列日期.要从该序列号开始转换，您可以执行以下操作:

This looks like an excel datetime format. This is called a serial date. To convert from that serial date you can do this:

data['Date'].apply(lambda x: datetime.fromtimestamp( (x - 25569) *86400.0))

哪个输出:

>>> data['Date'].apply(lambda x: datetime.fromtimestamp( (x - 25569) *86400.0))
0   2013-02-25 10:00:00.288
1   2013-02-26 10:00:00.288
2   2013-02-27 10:00:00.288
3   2013-02-28 10:00:00.288

只需将其分配给 data ['Date'] ，即可:

To assign it to data['Date'] you just do:

data['Date'] = data['Date'].apply(lambda x: datetime.fromtimestamp( (x - 25569) *86400.0))

#df
                     Date  cost
0 2013-02-25 16:00:00.288   100
1 2013-02-26 16:00:00.288   101
2 2013-02-27 16:00:00.288   102
3 2013-02-28 16:00:00.288   103

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