To perform ceil operation on the TimeDeltaIndex with minutely frequency, use the TimeDeltaIndex.ceil() method. For minutely frequency, use the freq parameter with value ‘T’.
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 minutely frequency. For minutely frequency, we have used 'T' −
print("\nPerforming Ceil operation with minutely frequency...\n",
tdIndex.ceil(freq='T'))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 minutely frequency
# For minutely frequency, we have used 'T'
print("\nPerforming Ceil operation with minutely frequency...\n",
tdIndex.ceil(freq='T'))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 minutely frequency... TimedeltaIndex(['4 days 08:21:00', '0 days 17:43:00', '9 days 11:17:00', '0 days 22:36:00'], dtype='timedelta64[ns]', freq=None)