<How to calcurate Date after months?> Date after months
|Date |months |Date after months|
|12/31/2021 |128 |
|1/11/2022 |5 |
|10/2/2020 |67 |
Edit: it looks like there is a bug in DateOffset
(12/31/2021
+ 128 months is giving 08/28/2032
incorrectly) when applied on a Series, see the alternative for a workaround.
Assuming pandas, you can use a DateOffset
:
df['Date after months'] = (pd
.to_datetime(df['Date'])
.add(pd.DateOffset(months=1)*df['months'])
.dt.strftime('%m/%d/%Y')
)
Output:
Date months Date after months
0 12/31/2021 128 08/28/2032
1 1/11/2022 5 06/11/2022
2 10/2/2020 67 05/02/2026
df['Date after months'] = (pd
.Series([d+pd.DateOffset(months=x)
for d, x in zip(pd.to_datetime(df['Date']), df['months'])],
index=df.index)
.dt.strftime('%m/%d/%Y')
)
Date months Date after months
0 12/31/2021 128 08/31/2032
1 1/11/2022 5 06/11/2022
2 10/2/2020 67 05/02/2026