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Series.dt
can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.is_quarter_end
Pandas Series.dt.is_quarter_end
returns a boolean value indicating whether the date is the last day quarter.
Syntax: Series.dt.is_quarter_end
Parameter: None
Returns: numpy array
Example # 1: Use the Series.dt.is_quarter_end
attribute to check if whether the dates in the underlying data of this series object are the last day of the quarter.
|
Output:
We will now use the Series.dt.is_quarter_end
attribute to check if the dates in a given series object are the last day of the quarter or not.
|
Exit:
As we can see in the output, the Series. dt.is_quarter_end
successfully accessed and returned boolean values ​​indicating whether the dates are the last day of the quarter or not.
Example # 2: Use the Series attribute .dt.is_quarter_end
to check if the dates in the underlying data of this series object are the last day of the quarter.
< p>
# import pandas as pd
import
pandas as pd
# Create series
sr
=
pd.Series (pd.date_range (
’2012-1 -1 00: 00’
,
periods
=
5
, freq
=
’Q’
))
# Create index
idx
=
[
’ Day 1’
,
’Day 2’
,
’Day 3’
,
’ Day 4’
,
’Day 5’
]
# set index
sr.index
=
idx
# Print series
print
(sr)
Output:
We will now use the Series.dt.is_quarter_end
attribute to check if the dates are in this object of the series last day quarters alright or not.
|
Output:
As we can see in the output, the Series.dt.is_quarter_end
attribute successfully accessed and returned boolean values ​​indicating whether the dates are the last day of the quarter or not.
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Milan | 2023-02-02
http Python module is always a bit confusing 😭 Python | Pandas Series.dt.is_quarter_end is not the only problem I encountered. Checked yesterday, it works!
California | 2023-02-02
Thanks for explaining! I was stuck with Python | Pandas Series.dt.is_quarter_end for some hours, finally got it done 🤗. I am just not quite sure it is the best method
Tallinn | 2023-02-02
I was preparing for my coding interview, thanks for clarifying this - Python | Pandas Series.dt.is_quarter_end in Python is not the simplest one. I am just not quite sure it is the best method