Python | Pandas DatetimeIndex.is_quarter_start
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_quarter_start
attribute is an indicator for whether the date is the first day of a quarter. If the date is the first day of the quarter it returns True
else it return False
.
Syntax: DatetimeIndex.is_quarter_start
Returns: numpy array containing logical values.
Example #1: Use DatetimeIndex.is_quarter_start
attribute to check if the dates present in the DatetimeIndex object is the first day of the quarter.
import pandas as pd
didx = pd.DatetimeIndex([ '2014-01-31' , '2014-04-1' , '2015-08-01' , '2000-12-02' ])
print (didx)
|
Output :
Now we want to find if the dates contained in the given DatetimeIndex object is the first day of the quarter.
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 quarter and False
value indicate the corresponding date was not the first day of the quarter.
Example #2: Use DatetimeIndex.is_quarter_start
attribute to check if the dates present in the DatetimeIndex object is the first day of the quarter.
import pandas as pd
didx = pd.date_range( '2011-03-30' , periods = 5 )
print (didx)
|
Output :
Now we want to find if the dates contained in the given DatetimeIndex object is the first day of the quarter.
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 quarter and False
value indicate the corresponding date was not the first day of the quarter.
Last Updated :
24 Dec, 2018
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