I have multiple dataframe with various number of rows. I want to generate differents lists in order to create a column of datetime in every dataframe.
Each row of dataframe correspond to a half-hourly step, and the datetime format is YYYYMMDD HHMMSS 0100
At the end my output should be:
Date
0 20210101 000000 0100
1 20210101 003000 0100
2 20210101 010000 0100
3 20210101 013000 0100
....
The difference with the problems I encounter on the internet is that I do not enter the end date.
Thanks for your help
CodePudding user response:
import pandas as pd
df = pd.DataFrame([('A', 'Q'), ('Z', 'S'), ('E', 'D'), ('R', 'F')])
df['date'] = pd.date_range(start='2021-01-01', periods=len(df), freq='30min',
tz='Europe/Amsterdam').strftime('%Y%m%d %H%M%S%z')
0 1 date
0 A Q 20210101 000000 0100
1 Z S 20210101 003000 0100
2 E D 20210101 010000 0100
3 R F 20210101 013000 0100