Pandas Timestamp.second Attribute

Python Pandas Timestamp.second Attribute

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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.second Attribute

The Timestamp.second attribute of the Pandas module returns an integer value representing the value of second in the given Timestamp object.

Syntax:

 Timestamp.second

Parameters: It has no arguments

Return Value:

The seconds value is returned by the Timestamp.second attribute of the Pandas module.

Pandas Timestamp.second Attribute in Python

Example1

Here, the Timestamp.second attribute returns 13, indicating that the second’s value in the provided object is set to 13.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random year, month, day, hour, minute, second, microsecond 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 second attribute to the above Timestamp object to get the second’s value 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 the year,  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, 22, 13, 18)
  
# Print the above obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply second attribute to the above Timestamp object to get the 
# second's value in the above given Timestamp object
print("second's value:")
time_stamp_obj.second

Output:

The above obtained Timestamp object: 2015-02-03 11:22:13.000018035
second's value:
13

Example2

Here, the Timestamp.second attribute returns 50, indicating that the second’s value in the provided object is set to 50.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random year, month, day, hour, second, 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 second attribute to the above Timestamp object to get the second’s value 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, second, 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, hour = 7, 
                            second = 50, tz = 'Asia/Kolkata')
  
# Print the above obatined Timestamp object
print("The above obatined Timestamp object:", time_stamp_obj)
# Apply second attribute to the above Timestamp object to get the 
# second's value in the above given Timestamp object
print("second's value:")
time_stamp_obj.second

Output:

The above obatined Timestamp object: 2015-06-26 07:00:50+05:30
second's value:
50

 

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