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 DatetimeIndex.is_month_start attribute returns a numpy array containing logical values corresponding to each entries in the DatetimeIndex object. The value is set to True if the date is the first day of the month. Else the function returns False indicating the date is not the first day of the month.
Syntax: DatetimeIndex.is_month_start
Return: numpy array containing logical values.
Example #1: Use DatetimeIndex.is_month_start attribute to check if the dates present in the DatetimeIndex object is the first day of the month.
# importing pandas as pd import pandas as pd   # Create the DatetimeIndex didx = pd.DatetimeIndex(['2014-08-01', '2014-10-05',                          '2015-04-01', '2000-12-02'])   # Print the DatetimeIndex print(didx) |
Output :
Now we want to find if the dates contained in the given DatetimeIndex object is the first day of the month.
# find if the days are the first day of the month. didx.is_month_start |
Output :
As we can see in the output, the function has returned a numpy array containing logical values for each entry of the DatetimeIndex object. True values indicate the corresponding date was the first day of the month and False value indicate the corresponding date was not the first day of the month.
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Example #2: Use DatetimeIndex.is_month_start attribute to check if the dates present in the DatetimeIndex object is the first day of the month.
# importing pandas as pd import pandas as pd   # Create the DatetimeIndex didx = pd.DatetimeIndex(start ='2000-01-10 06:30', freq ='CBMS',                               periods = 5, tz ='Asia/Calcutta')   # Print the DatetimeIndex print(didx) |
Output :
Now we want to find if the dates contained in the given DatetimeIndex object is the first day of the month.
# find if the days are the first day of the month. didx.is_month_start |
Output :
As we can see in the output, the function has returned a numpy array containing logical values for each entry of the DatetimeIndex object. True values indicate the corresponding date was the first day of the month and False value indicate the corresponding date was not the first day of the month.
