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:
Python exit program: 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.month Attribute:
The Timestamp.month attribute of the Pandas module returns an integer value representing the month value in the given Timestamp object.
Syntax:
Timestamp.month
Parameters: It has no arguments
Return Value:
The month value is in the given Timestamp object returned by the Timestamp.month attribute of the Pandas module.
- Python Pandas Timestamp.isoformat() Function
- Python Pandas Timestamp.day Attribute
- Python Pandas Timestamp.to_datetime64 () Function
Pandas Timestamp.month Attribute in Python
Example1
Here, the Timestamp.month attribute returns 7, indicating that the month value in the given Timestamp object is set to 7 i.e July.
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 month attribute to the above Timestamp object to get the month 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 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, 7, 3, 11, 25, 13, 18) # Print the above obtained Timestamp object print("The above obtained Timestamp object:", time_stamp_obj) # Apply month attribute to the above Timestamp object to get the # month value in the above given Timestamp object print("Month value in the above Timestamp object:") time_stamp_obj.month
Output:
The above obtained Timestamp object: 2012-07-03 11:25:13.000018 Month value in the above Timestamp object: 7
Example2
Here, the Timestamp.month attribute returns 9, indicating that the month value in the given Timestamp object is set to 9 i.e, September.
Approach:
- Import pandas module using the import keyword.
- Pass some random year, month, day, hour, minute, 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 month attribute to the above Timestamp object to get the month 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, 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 = 9, day = 15, hour = 5, minute = 12, tz = 'Asia/Kolkata') # Print the above obtained Timestamp object print("The above obtained Timestamp object:", time_stamp_obj) # Apply month attribute to the above Timestamp object to get the # month value in the above given Timestamp object print("Month value in the above Timestamp object:") time_stamp_obj.month
Output:
The above obtained Timestamp object: 2021-09-15 05:12:00+05:30 Month value in the above Timestamp object: 9