Skip to content
Related Articles

Related Articles

Improve Article
Python | Pandas Timedelta.ceil()
  • Last Updated : 14 Jan, 2019

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 resolution

Returns: 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

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :