To perform ceil operation on the TimeDeltaIndex with seconds frequency, use the TimeDeltaIndex.ceil() method. For seconds frequency, use the freq parameter with value ‘S’.
At first, import the required libraries −
import pandas as pd
Create a TimeDeltaIndex object. We have set the timedelta-like data using the 'data' parameter −
tdIndex = pd.TimedeltaIndex(data =['4 day 8h 20min 35us 45ns', '+17:42:19.999999', '9 day 3h 08:16:02.000055', '+22:35:25.000075'])
Display TimedeltaIndex −
print("TimedeltaIndex...\n", tdIndex)
Ceil operation on TimeDeltaIndex date with seconds frequency. For seconds frequency, we have used 'S' −
print("\nPerforming Ceil operation with seconds frequency...\n", tdIndex.ceil(freq='S'))
Example
Following is the code −
import pandas as pd # Create a TimeDeltaIndex object # We have set the timedelta-like data using the 'data' parameter tdIndex = pd.TimedeltaIndex(data =['4 day 8h 20min 35us 45ns', '+17:42:19.999999', '9 day 3h 08:16:02.000055', '+22:35:25.000075']) # display TimedeltaIndex print("TimedeltaIndex...\n", tdIndex) # Return a dataframe of the components of TimeDeltas print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components) # Ceil operation on TimeDeltaIndex date with seconds frequency # For seconds frequency, we have used 'S' print("\nPerforming Ceil operation with seconds frequency...\n", tdIndex.ceil(freq='S'))
Output
This will produce the following code −
TimedeltaIndex... TimedeltaIndex(['4 days 08:20:00.000035045', '0 days 17:42:19.999999', '9 days 11:16:02.000055', '0 days 22:35:25.000075'], dtype='timedelta64[ns]', freq=None) The Dataframe of the components of TimeDeltas... days hours minutes seconds milliseconds microseconds nanoseconds 0 4 8 20 0 0 35 45 1 0 17 42 19 999 999 0 2 9 11 16 2 0 55 0 3 0 22 35 25 0 75 0 Performing Ceil operation with seconds frequency... TimedeltaIndex(['4 days 08:20:01', '0 days 17:42:20', '9 days 11:16:03', '0 days 22:35:26'], dtype='timedelta64[ns]', freq=None)