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Given a date in string format, the task is to convert it into a Unix timestamp using Python. A timestamp represents the total number of seconds that have passed since January 1, 1970 (the Unix Epoch).
For example:
Input: "20/01/2020"
Output: 1579478400.0
Let’s explore different methods to perform this conversion.
datetime.timestamp() converts a datetime object to a Unix timestamp in seconds and returns a float. It assumes local time if no timezone is set.
1579478400.0
Explanation: s is date string, which is parsed into a datetime object dt using the format %d/%m/%Y. dt.timestamp() then converts it to a Unix timestamp, which is stored in res.
calendar.timegm() method takes a UTC time tuple and returns an integer timestamp, making it ideal when you need timezone-independent, UTC-based results.
1579478400
Explanation: s is date string, parsed into a datetime object dt.calendar.timegm(dt.utctimetuple()) converts it to a UTC-based Unix timestamp, stored in res.
pandas.to_datetime().timestamp() parses a date string into a datetime object and returns a float timestamp. It is perfect for handling large datasets or performing time-based data analysis using pandas.
1579478400.0
Explanation: s is date string, parsed by pd.to_datetime() and converted to a Unix timestamp using .timestamp(), stored in res.
time.mktime() converts a local time tuple to a timestamp and returns a float; it reflects your system’s timezone, so it’s best for local time operations.
1579478400.0
Explanation: s holds the date string, parsed into dt. time.mktime(dt.timetuple()) converts it to a local Unix timestamp, stored in res.