Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Timedelta is a subclass of datetime.timedelta, and behaves in a similar manner. It is the pandas equivalent of python’s datetime.timedelta and is interchangeable with it in most cases. Timedelta.ceil() method in pandas.Timedelta is used to return new Timedelta ceiled to this resolution.
Syntax: Timedelta.ceil()
Parameters:
freq : a freq string indicating the ceiling resolutionReturns: new ceiled Timedelta.
Code #1:
# importing pandas as pd import pandas as pd import datetime # Create the Timedelta object td = pd.Timedelta(5.05, unit ='s') # Print the Timedelta object print(td.ceil('S')) |
Output:
0 days 00:00:06
Code #2:
# importing pandas as pd import pandas as pd import datetime # Create the Timedelta object td = pd.Timedelta(13.25, unit ='h') # Print the Timedelta object print(td.ceil('H')) |
Output:
0 days 14:00:00
Code #3:
# importing pandas as pd import pandas as pd from datetime import datetime # Create the Timedelta object td = pd.Timedelta('7 days 15 hours') # Print the Timedelta object print(td.ceil('D')) |
Output:
8 days 00:00:00
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