Skip to content
Related Articles

Related Articles

Save Article
Improve Article
Save Article
Like Article

Python | Pandas Timestamp.is_quarter_start

  • Last Updated : 08 Jan, 2019
Geek Week

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.

Pandas Timestamp.is_quarter_start attribute return a boolean value. It return True if the date in the given Timestamp object is start of the quarter else it return False.

Syntax : Timestamp.is_quarter_start

Parameters : None

Return : boolean



Example #1: Use Timestamp.is_quarter_start attribute to check if the date in the given Timestamp object is start of the quarter or not.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(2016, 1, 1, 12)
  
# Print the Timestamp object
print(ts)

Output :

Now we will use the Timestamp.is_quarter_start attribute to check if the date in the ts object is start of the quarter or not.




# check if the date is start of the quarter
ts.is_quarter_start

Output :

As we can see in the output, the Timestamp.is_quarter_start attribute has returned True indicating the date in the given Timestamp object is start of the quarter.
 
Example #2: Use Timestamp.is_quarter_start attribute to check if the date in the given Timestamp object is start of the quarter or not.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 5, day = 31,
                    hour = 4, tz = 'Europe/Berlin')
  
# Print the Timestamp object
print(ts)

Output :



Now we will use the Timestamp.is_quarter_start attribute to check if the date in the ts object is start of the quarter or not.




# check if the date is start of the quarter
ts.is_quarter_start

Output :

As we can see in the output, the Timestamp.is_quarter_start attribute has returned False indicating the date in the given Timestamp object is not the start of the quarter.

 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 :