import cwms
from datetime import datetime, timedelta

end = datetime.now()
begin = end - timedelta(days = 10)
data = cwms.get_timeseries(ts_id='Some.Fully.Qualified.Ts.Id',office_id='OFFICE1' , begin = begin, end = end)

#a cwms data object will be provided this object containes both the JSON as well
#as the values converted into a dataframe

#display the dataframe

df = data.df
print(df)

     date-time 	value 	quality-code
0 	2024-04-23 08:15:00 	86.57 	3
1 	2024-04-23 08:30:00 	86.57 	3
2 	2024-04-23 08:45:00 	86.58 	3
3 	2024-04-23 09:00:00 	86.58 	3
4 	2024-04-23 09:15:00 	86.58 	3
5 	2024-04-23 09:30:00 	86.58 	3
6 	2024-04-23 09:45:00 	86.59 	3
7 	2024-04-23 10:00:00 	86.58 	3

{'name': 'Some.Fully.Qualified.Ts.Id',
 'office-id': 'MVP',
 'units': 'ft',
 'values': [['2024-04-23T08:15:00', 86.57, 3],
  ['2024-04-23T08:30:00', 86.57, 3],
  ['2024-04-23T08:45:00', 86.57999999999997, 3],
  ['2024-04-23T09:00:00', 86.57999999999997, 3],
  ['2024-04-23T09:15:00', 86.57999999999997, 3],
  ['2024-04-23T09:30:00', 86.57999999999997, 3],
  ['2024-04-23T09:45:00', 86.59, 3],
  ['2024-04-23T10:00:00', 86.57999999999997, 3]],
 'version-date': None}