DatetimeIndex.is_quarter_start
Pandas DatetimeIndex.is_quarter_start
is an indicator of whether a date is the first day of a quarter. If the date is the first day of the quarter, True
is returned otherwise False
.
Syntax: DatetimeIndex.is_quarter_start
Returns: numpy array containing logical values.
Example # 1: Use the DatetimeIndex attribute. is_quarter_start
to check if the dates in the DatetimeIndex are the first day of the quarter.
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Output:
Now we want to find out if the dates are contained in this DatetimeIndex object, the first day of the quarter.
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Exit:
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 quarter, and False
values indicate that the corresponding date was not the first day of the quarter.
Example # 2: Use the DatetimeIndex.is_quarter_start
attribute to check if the dates present in the DatetimeIndex object are the first day of the quarter.
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Output:
Now we want to find out if the dates contained in this DatetimeIndex are the first day of the quarter.
|
Output:
As we can see in output, the function returned an empty array containing boolean values for each record of the Da object tetimeIndex. True
values indicate that the corresponding date was the first day of the quarter, and False
values indicate that the corresponding date was not the first day of the quarter.