如何在 Python 数据帧中将时间戳列格式从 [YYYY/MM/DD] 转换为 [DD/MM/YYYY]？

Question

In a Python data frame, is there a way I can convert a timestamp column with objects formatted as [ YYYY/MM/DD HH:MM:SS] to [ DD/MM/YYYY HH:MM:SS] instead?

Eg [2020/01/03 13:00:00] to [03/01/2020 13:00:00]

Where (YYYY is year), (MM is month), (DD is day), (HH is hour), (MM is mins), (SS is seconds).

Thank you in advance!

Answer 1

Here is an example of what you expect:

import datetime as dt
# Example of df with string for the date
df = pd.DataFrame({'date':['2020/01/03 13:00:00']})
# transforming it in a datetime with a specific format
df['date'] = pd.to_datetime(df.date,format='%Y/%m/%d %H:%M:%S')
#changing the format as you don't wish
df['colum1'] = df.date.dt.strftime('%Y/%m/%d %H:%M:%S')
#changing the format as you wish
df['colum2'] = df.date.dt.strftime('%d/%m/%Y %H:%M:%S')
df

OUTPUT: