
In this tutorial, we will learn how can we convert timestamp to datetime objects.
In python, timestamp refers to the number of seconds from the epoch Unix time. In database, we often use the timestamp to refer the time.
In python, we generally use Unix timestamp which is the number of seconds between a specific date and January 1, 1970, 00h: 00m: 00s at UTC.
From timestamp to datetime:
Example:
from datetime import datetime unix_timestamp = 1565694491 # number of seconds since 1 Jan 1970 date_time_obj = datetime.fromtimestamp(unix_timestamp) print("Current date and time is: ",date_time_obj) print("type of date_time_obj is: ",type(date_time_obj))
Output:
Current date and time is: 2019-08-13 16:38:11 type of date_time_obj is: <class 'datetime.datetime'>
Behind the code:
In the above example, we have used the datetime.formtimestamp() function to convert the number of seconds to a datetime object date_time_obj.
The unix_timestamp variable simply represents the number of seconds since the Unix timestamp which is 1 January 1970.
From datetime to timestamp
In the above example, we have used the formtimestamp() function to convert the number of seconds to a particular date.
Now we will use the timestamp() function to convert a particular date or current date to a number of seconds.
Example:
from datetime import datetime today = datetime.today() unix_timestamp = datetime.timestamp(today) print("the value of unix_timestamp is ", unix_timestamp, "seconds since 1 Jan 1970")
Output:
the value of unix_timestamp is 1565695158.213383 seconds since 1 Jan 1970
Behind the code:
In the above example, we used the date.timestamp() function to convert the current date and time to Unix timestamp.
Python Tutorials
Introduction
- Getting Started
- Keywords and Identifiers
- Statements & Comments
- Python Variables
- Python Datatypes
- Python Type Conversion
- Python I/O and import
- Python Operators
- Python Namespace
Python Flow Control
Python Functions
Python Datatypes
Python Files
Python Object & Class
Python Advanced Topics
- Python Iterator
- Python Generator
- Python Closure
- Python Decorators
- Python Property
- Python RegEx
- Python Examples