To perform ceil operation on the DateTimeIndex with seconds frequency, use the DateTimeIndex.ceil() method. For seconds frequency, use the freq parameter with value ‘S’.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as S i.e. seconds −
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Peform Ceil operation on DateTimeIndex date with seconds frequency. For seconds frequency, we have used 'S' −
print("\nPerforming ceil operation with seconds frequency...\n", datetimeindex.ceil(freq='S'))
Example
Following is the code −
import pandas as pd # DatetimeIndex with period 5 and frequency as S i.e. seconds # timezone is Australia/Adelaide datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # getting the second res = datetimeindex.second # display only the second print("\nThe second from DateTimeIndex...\n", res) # Ceil operation on DateTimeIndex date with seconds frequency # For seconds frequency, we have used 'S' print("\nPerforming ceil operation with seconds frequency...\n", datetimeindex.ceil(freq='S'))
Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30', '2021-10-18 07:21:12.261811624+10:30', '2021-10-18 07:21:52.261811624+10:30', '2021-10-18 07:22:32.261811624+10:30', '2021-10-18 07:23:12.261811624+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='40S') DateTimeIndex frequency... <40 * Seconds> The second from DateTimeIndex... Int64Index([32, 12, 52, 32, 12], dtype='int64') Performing ceil operation with seconds frequency... DatetimeIndex(['2021-10-18 07:20:33+10:30', '2021-10-18 07:21:13+10:30', '2021-10-18 07:21:53+10:30', '2021-10-18 07:22:33+10:30', '2021-10-18 07:23:13+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)