Python Pandas Timestamp.is_quarter_start Attribute

What is Timestamp?

A timestamp is a sequence of characters or encoded information that identifies when a particular event occurred, typically providing the date and time of day, and can be accurate to a fraction of a second.

The timestamp method is used for a variety of synchronization purposes, including assigning a sequence order to a multievent transaction so that the transaction can be canceled if a fault occurs. A timestamp can also be used to record time in reference to a specific starting point in time.

Uses of Timestamp:

Timestamps are used to maintain track of information stored online or on a computer. A timestamp indicates when data was generated, shared, modified, or removed.

Here are some examples of how timestamps can be used:

A timestamp in a computer file indicates when the file was last modified.
Photographs with digital cameras have timestamps that show the date and time of day they were taken.
The date and time of the post are included in social media posts.
Timestamps are used in online chat and instant messages to record the date and time that a message was delivered, received, or viewed.
Timestamps are used in blockchain blocks to confirm the validity of transactions, such as those involving cryptocurrencies.
To secure the integrity and quality of data, data management relies on timestamps.
Timestamps are used in digital contracts and digital signatures to signify when a document was signed.

Python Pandas Timestamp.is_quarter_start Attribute:

The Timestamp.is_quarter_start attribute of the Pandas module returns a boolean value. If the date in the given Timestamp object is the start of the quarter, it returns True; otherwise, it returns False.

Syntax:

 Timestamp.is_quarter_start

Parameters: It has no arguments

Return Value:

True: If the date in the given Timestamp object is the quarter-start.

False: If the date in the given Timestamp object is NOT the quarter-start.

NOTE: The quarter start dates are: January 1st, April 1st, July 1st, October 1st.

Pandas Timestamp.is_quarter_start Attribute in Python

Example1

Approach:

Import pandas module using the import keyword.
Pass some random year, month, day, hour as arguments to the Timestamp() function of the pandas module to get the Timestamp object.
Store it in a variable.
Print the above-obtained Timestamp object
Apply is_quarter_start attribute on the above Timestamp object to check if the date in the given Timestamp object is the quarter start or NOT.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
  
# Pass some random year, month, day, hour as arguments to the
# Timestamp() function of the pandas module to get the Timestamp object
# Store it in a variable
time_stamp_obj = pd.Timestamp(2020, 4, 1, 10)
  
# Print the above obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply is_quarter_start attribute on the above Timestamp object to check 
# if the date in the given Timestamp object is quarter start or NOT
print("Checking if the date in the given Timestamp object is quarter start or NOT:")
time_stamp_obj.is_quarter_start

Output:

The above obtained Timestamp object: 2020-04-01 10:00:00
Checking if the date in the given Timestamp object is quarter start or NOT:
True

Example2

Approach:

Import pandas module using the import keyword.
Pass some random year, month, day, tz =’Asia/Kolkata’ (Timezone) as the arguments to the Timestamp() function of the pandas module to get the Timestamp object
Print the above-obtained Timestamp object.
Apply is_quarter_start attribute on the above Timestamp object to check if the date in the given Timestamp object is the quarter start or NOT.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
  
# Pass some random year, month, day, tz ='Asia/Kolkata'
# (Timezone) as the arguments to the Timestamp() function of the
# pandas module to get the Timestamp object
time_stamp_obj = pd.Timestamp(year = 2015,  month = 5, day = 25, tz = 'Asia/Kolkata')
  
# Print the above obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply is_quarter_start attribute on the above Timestamp object to check 
# if the date in the given Timestamp object is quarter start or NOT
print("Checking if the date in the given Timestamp object is quarter start or NOT:")
time_stamp_obj.is_quarter_start

Output:

The above obtained Timestamp object: 2015-05-25 00:00:00+05:30
Checking if the date in the given Timestamp object is quarter start or NOT:
False

Pandas Timestamp.is_quarter_start Attribute in Python

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