Python | Панды Series.dt.is_year_start
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 yearresult = sr.dt.is_year_start # print the resultprint(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 pdimport pandas as pd # Creating the Seriessr = pd.Series(pd.date_range("2012-1-1 00:00", periods = 5, freq = "D")) # Creating the indexidx = ["Day 1", "Day 2", "Day 3", "Day 4", "Day 5"] # set the indexsr.index = idx # Print the seriesprint(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 yearresult = sr.dt.is_year_start # print the resultprint(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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