Python | Pandas DatetimeIndex.is_year_start

DatetimeIndex.is_year_start Pandas DatetimeIndex.is_year_start is an indicator of whether a date is the first day of the year. If the date — the first day of the year, it returns True otherwise it returns False .

Syntax: DatetimeIndex.is_year_start

Return: numpy array containing logical values.

Example # 1: Use the DatetimeIndex.is_year_start to check if the dates in the DatetimeIndex are the first day of the year.

# import pandas as pd import pandas as pd   # Create DatetimeIndex didx = pd.DatetimeIndex ([ ’2014-01-01’ , ’2014-04-30’ , ’2017-03-31’ , ’ 2000-12-02’ ])   # Print DatetimeIndex print (didx)

Output:

Now we want to find out if the dates contained in this DatetimeIndex are the first day of the year.

# determine if these days are the first day of the year. didx.is_year_start

Output:

As we can see in the output, the function returned an empty array containing boolean values ​​for each entry in the DatetimeIndex object.  True values ​​indicate that the corresponding date was the first day of the year, and False values ​​indicate that the corresponding date was not the first day of the year.

Example # 2: Use the DatetimeIndex.is_year_start attribute to check if the dates present in the DatetimeIndex object are the first day of the year.

# import pandas as pd import pandas as pd   # Create DatetimeIndex didx = pd.date_range ( ’ 2011-12-30 ’ , periods = 5 ) < code class = "undefined spaces">   # Print DatetimeIndex print (didx)

Output:

Now we want to find out if the dates are contained in this DatetimeIndex object, the first day of the year.

# determine if these days are the first day of the year. didx.is_year_start

Exit :

As we can see in the output, the function returned an empty array containing boolean values ​​for each record of the DatetimeIndex object.  True values ​​indicate that the corresponding date was the first day of the year, and False values ​​indicate that the corresponding date was not the first day of the year.