Python | Pandas Timestamp.is_quarter_start

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.

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# 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)

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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.

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

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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.

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# 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)

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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.

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

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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.



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