Python | Pandas Series.dt.is_quarter_start

Series.dt can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.is_quarter_start Pandas Series.dt.is_quarter_start returns a boolean indicating whether the date is the first day quarter.

Syntax: Series.dt.is_quarter_start

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.is_quarter_start attribute to check if whether the dates in the underlying data of this series object are the first day of the quarter.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Ser ies ([ `2012-4-1` , ` 2019- 7-18 12: 30` , `2008-02-2 10: 30` ,

`2010-4-22 09:25` , `2019-1-1 00:00` ])

 
# Create index

idx = [ `Day 1` , `Day 2` , `Day 3` , ` Day 4` , `Day 5` ]

  
# set index

sr.index = idx

 
# Convert base data to date and time

sr = pd.to_datetime ( sr)

 
# Print episode

print (sr)

Output:

We will now use the Series.dt.is_quarter_start attribute to check if the dates in a given series object are the first day of the quarter or not.

# check if dates are first
# day of quarter

result = sr.dt.is_quarter_start

  
# print the result

print (result)

Exit:

As we can see from the output, the Series.dt.is_quarter_start successfully accessed and returned a boolean indicating whether the dates are the first day of the quarter or not.

Example # 2: Use the Series.dt.is_quarter_start attribute to check if the dates in the underlying data for this series object are the first day of the quarter.

# import pandas as pd

import pandas as pd

  
# Create series

sr = pd.Series (pd.date_range ( ` 2012-4-1 00:00` ,

periods = 5 , freq = `W` ))

  
# 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_start attribute to check if the dates in a given series object are the first day of the quarter or not. < p>

# check if dates are first
# day of quarter

result = sr.dt.is_quarter_start

 
# print the result

print (result)

Output:

As we can see from the output, the attribute Series.dt.is_quarter_start successfully accessed and returned boolean values ​​indicating whether the dates are the first day of the quarter or not.