Pandas timestamp – Python Pandas Timestamp.dayofyear Attribute

What is Timestamp?

Pandas 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.dayofyear Attribute:

The Timestamp.dayofyear attribute of the Pandas module gets the day of the year for the given Timestamp object. The days are counted from 1 to 365. where 1 represents the start day of the year and 365 represents the last day of the year

Syntax:

 Timestamp.dayofyear

Parameters: It has no arguments

Return Value:

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

NOTE: we can also use day_of_year attribute to get the value of the day of the year.

Python Pandas Timestamp.dayofyear Attribute

Example1

Here the returned value 34 represents the 34th day of the year 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-obtained Timestamp object
  • Apply dayofyear attribute to the above Timestamp object to get the day of the year 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 obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply dayofyear attribute to the above Timestamp object to get the 
# day of the year in the above given Timestamp object
print("The day of the year:")
time_stamp_obj.dayofyear

Output:

The above obtained Timestamp object: 2015-02-03 11:00:00
The day of the year:
34

Example2

Here the returned value 177 represents the 177th day of the year in the given timestamp object.

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 dayofyear attribute to the above Timestamp object to get the day of the year 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 obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply dayofyear attribute to the above Timestamp object to get the 
# day of the year in the above given Timestamp object
print("The day of the year:")
time_stamp_obj.dayofyear

Output:

The above obtained Timestamp object: 2015-06-26 00:00:00+05:30
The day of the year:
177