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Python | Pandas Timestamp.is_year_start
  • Last Updated : 08 Jan, 2019
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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_year_start attribute return a boolean value. It return True if the date in the given Timestamp object is the start of the year else it return False.

Syntax : Timestamp.is_year_start

Parameters : None

Return : boolean



Example #1: Use Timestamp.is_year_start attribute to check if the date in the given Timestamp object is the start of the year 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_year_start attribute to check if the date in the ts object is the start of the year or not.




# check if the date is the start of the year
ts.is_year_start

Output :

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




# check if the date is the start of the year
ts.is_year_start

Output :

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

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