Python | Панды Series.dt.is_year_start

Опубликовано: 27 Марта, 2022

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.is_year_start attribute return a boolean value Indicating whether the date is the first day of a year.

Syntax: Series.dt.is_year_start

Parameter : None

Returns : numpy array

Example #1: Use Series.dt.is_year_start attribute to check if the dates in the underlying data of the given series object is the first day of a year.

Выход :

Now we will use Series.dt.is_year_start attribute to check if the dates in the given series object is the first day of a year or not.

# check if dates are the
# first day of a year
result = sr.dt.is_year_start
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.is_year_start attribute has successfully accessed and returned boolean values indicating whether the dates are the first day of a year or not.
 
Example #2 : Use Series.dt.is_year_start attribute to check if the dates in the underlying data of the given series object is the first day of a year.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-1-1 00:00", periods = 5, freq = "D"))
  
# Creating the index
idx = ["Day 1", "Day 2", "Day 3", "Day 4", "Day 5"]
  
# set the index
sr.index = idx
  
# Print the series
print(sr)

Выход :

Now we will use Series.dt.is_year_start attribute to check if the dates in the given series object is the first day of a year or not.

# check if dates are the
# first day of a year
result = sr.dt.is_year_start
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.is_year_start attribute has successfully accessed and returned boolean values indicating whether the dates are the first day of a year or not.

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