Series.dt
can be used to access series values as datetimelike and return multiple properties. Series.dt.is_month_start
Pandas Series.dt.is_month_start
returns a boolean indicating whether the date is the first day month.
Syntax: Series.dt.is_month_start
Parameter: None
Returns: numpy array
Example # 1: Use the Series.dt.is_month_start
attribute to check if whether the dates in the underlying data of this series object are the beginning of the month or not.
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Output:
Now we will use the Series.dt.is_month_start
attribute to check if the dates in the given series object are the beginning of the month or not.
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Output:
As we can see from the output, the Series.dt.is_month_start
successfully accessed and returned a boolean indicating whether the dates are the start of the month or not.
Example # 2: Use the Series.dt.is_month_start
to check if the dates in the underlying data of this series object are the beginning of the month or not.
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Output:
We will now use the Series.dt.is_month_start
attribute to check if the dates in the given series object are the beginning of the month or not.
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Output:
As we can see from the output, the Series.dt.is_month_start
attribute successfully accessed and returned boolean values indicating whether date is the beginning of the month or not.