# Resolved: Python get datetime intervals of x minutes between two datetime objects

In this post, we will see how to resolve Python get datetime intervals of x minutes between two datetime objects

## Question:

How can I get the list of intervals (as 2-tuples) of `x` minutes between to datetimes? It should be easy but even `pandas.date_range()` returns exacts intervals, dropping end time. For example:
In:
```from = '2023-01-05 16:01:58'
to   = '2023-01-05 17:30:15'
x    = 30```
Expected:
```[
('2023-01-05 16:01:58', '2023-01-05 16:30:00'),
('2023-01-05 16:30:00', '2023-01-05 17:00:00'),
('2023-01-05 17:00:00', '2023-01-05 17:30:00'),
('2023-01-05 17:30:00', '2023-01-05 17:30:15')
]```

Here is one way to do it with Pandas to_datetime, DateOffset and dt.ceil:
```import pandas as pd
from pandas.tseries.offsets import DateOffset

from_date = pd.to_datetime("2023-01-05 16:01:58")
to_date = pd.to_datetime("2023-01-05 17:30:15")
freq = "30min"

intervals = []
start = pd.Series(from_date)
while True:
end = (start + DateOffset(minutes=1)).dt.ceil(freq)
if end[0] >= to_date:
intervals.append((str(start[0]), str(pd.to_datetime(to_date))))
break
intervals.append((str(start[0]), str(end[0])))
start = end```
Then:
```print(intervals)
# Output
[
("2023-01-05 16:01:58", "2023-01-05 16:30:00"),
("2023-01-05 16:30:00", "2023-01-05 17:00:00"),
("2023-01-05 17:00:00", "2023-01-05 17:30:00"),
("2023-01-05 17:30:00", "2023-01-05 17:30:15"),
]```