我有一系列如下格式的字符串对象:
lcd['dates'] = ['Sep-2014', 'Feb-2014', 'Apr-2014', 'Oct-2013', 'Oct-2014',...]
我正在尝试将它们转换为日期时间格式(四舍五入为天)，如下所示:
lcd['new dates'] = [pd.to_datetime(j, unit = "D",exact=False) for j in lcd.dates]
这似乎适用于除 2 月以外的所有月份:
In: lcd['new_dates'].unique():
Out:Timestamp('2013-05-29 00:00:00'), Timestamp('2015-03-29 00:00:00'),
Timestamp('2012-06-29 00:00:00'), 'Feb-2015',
Timestamp('2012-12-29 00:00:00'), Timestamp('2014-07-29 00:00:00'),
Timestamp('2014-09-29 00:00:00'), 'Feb-2014',...
我被难住了。
最佳答案
您可以这样指定格式:
import pandas as pd
lcd = ['Sep-2014', 'Feb-2014', 'Feb-2015', 'Apr-2014', 'Oct-2013', 'Oct-2014',]
lcd = [pd.to_datetime(j, unit = "D", format='%b-%Y') for j in lcd]
print lcd
打印:
[Timestamp('2014-09-01 00:00:00'), Timestamp('2014-02-01 00:00:00'), Timestamp('2015-02-01 00:00:00'), Timestamp('2014-04-01 00:00:00'), Timestamp('2013-10-01 00:00:00'), Timestamp('2014-10-01 00:00:00')]
还可以查看 datetime 的所有格式选项.
关于python - 将字符串转换为日期时间 - 'Feb' 月未解析，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/30539982/