Python Pandas Timestamp.dayofweek 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.

Pandas Timestamp.dayofweek Attribute:

The Timestamp.dayofweek attribute of the Pandas module gets the value of the day of the week in the provided Timestamp object. The days are numbered from 0 to 6, with 0 representing Monday and 6 representing Sunday.

Syntax:

 Timestamp.dayofweek

Parameters: It has no arguments

Return Value:

The day of the week in the given timestamp object is returned by the Timestamp.dayofweek attribute of the Pandas module.

NOTE: we can also use day_of_week attribute to get the value of the day of the week.

Pandas Timestamp.dayofweek Attribute in Python

Example1

The Timestamp.dayofweek attribute is used to get the last day of the week in the given timestamp object.

Here the returned value 1(Tuesday) represents the last day of the week in the given timestamp object.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random year, month, day, hour as the arguments to the Timestamp() function of the pandas module to get the Timestamp object.
  • Store it in a variable.
  • Print the above-obatined Timestamp object
  • Apply dayofweek attribute to the above Timestamp object to get the day of the week in the above given Timestamp object.
  • 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 the arguments
# to the Timestamp() function of the pandas module to 
# get the Timestamp object
# Store it in a variable
time_stamp_obj = pd.Timestamp(2015, 2, 3, 11)
  
# Print the above obatined Timestamp object
print("The above obatined Timestamp object:", time_stamp_obj)
# Apply dayofweek attribute to the above Timestamp object to get the 
# day of the week in the above given Timestamp object
print("The day of the week:")
time_stamp_obj.dayofweek

Output:

The above obatined Timestamp object: 2015-02-03 11:00:00
The day of the week:
1

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-obatined Timestamp object
  • Apply dayofweek attribute to the above Timestamp object to get the last day of the week in the above-given Timestamp object.
  • 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 = 6, day = 26, tz = 'Asia/Kolkata')
  
# Print the above obatined Timestamp object
print("The above obatined Timestamp object:", time_stamp_obj)
# Apply dayofweek attribute to the above Timestamp object to get the 
# last day of the week in the above given Timestamp object
print("The day of the week:")
time_stamp_obj.dayofweek

Output:

The above obatined Timestamp object: 2015-06-26 00:00:00+05:30
The day of the week:
4