Python Pandas Timestamp.nanosecond Attribute

Python Pandas Timestamp.nanosecond 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.nanosecond Attribute

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

Syntax:

 Timestamp.nanosecond

Parameters: It has no arguments

Return Value:

The nanosecond value in the given Timestamp object is returned by the Timestamp.nanosecond attribute of the Pandas module.

Pandas Timestamp.nanosecond Attribute in Python

Example1

Here, the Timestamp.nanosecond attribute returns 10, indicating that the nanosecond value in the given Timestamp object is set to 10.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random year, month, day, hour, minute, second, microsecond, nanosecond 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 nanosecond attribute on the above Timestamp object to get the nanosecond 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, minute, second, microsecond, nanosecond
# 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(2012, 2, 3, 11, 25, 13, 18, 10)
  
# Print the above obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply nanosecond attribute on the above Timestamp object to get the 
# nanosecond value in the above given Timestamp object
print("nanosecond value in the above Timestamp object:")
time_stamp_obj.nanosecond

Output:

The above obtained Timestamp object: 2012-02-03 11:25:13.000018010
nanosecond value in the above Timestamp object:
10

Example2

Here, the Timestamp.nanosecond attribute returns 15, indicating that the nanosecond value in the given Timestamp object is set to 15.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random year, month, day, hour, nanosecond, tz =’Asia/Kolkata’ (Timezone) 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 nanosecond attribute on the above Timestamp object to get the nanosecond 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, nanosecond, 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 = 2021,  month = 6, day = 26, hour = 7, 
                            nanosecond = 15, tz = 'Asia/Kolkata')
  
# Print the above obtained Timestamp object
print("The above obtained Timestamp object:", time_stamp_obj)
# Apply nanosecond attribute on the above Timestamp object to get the 
# nanosecond value in the above given Timestamp object
print("nanosecond value in the above given Timestamp object:")
time_stamp_obj.nanosecond

Output:

The above obtained Timestamp object: 2021-06-26 07:00:00.000000015+05:30
nanosecond value in the above given Timestamp object:
15

 

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