Python | Pandas Timestamp.is_year_start

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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.