In addition to pytz, the dateutil library also provides similar functionality to convert the datetime objects between different time zones. In this example, we first create a new timezone object new_tz with 'Europe/London' as the timezone and then we use the astimezone() method to convert the dt_aware object to that timezone. The astimezone() method is used to convert a datetime object from one time zone to another. The normalize() method is used to adjust the time zone information of a datetime object to match the time zone's rules for daylight saving time. For this, pytz provides the normalize() and astimezone() methods. In addition to creating timezone-aware datetime objects, it's also important to be able to convert between different time zones. Next, we define a datetime string with timezone offset and pass it to the parse() method which returns a datetime object that is timezone aware. In this example, we first import the parser module from the dateutil library. Using dateutil libraryĪnother way to convert string to datetime object with timezone is using dateutil library which has a powerful parser for handling different datetime string formats. Then, we use the timezone() function to create a time zone object and call the localize() method on that object passing the parsed datetime as a parameter, resulting in a timezone aware datetime object. Next, we define a time zone string, 'US/Eastern', and a datetime string, ' 12:00:00', and pass it to the strptime() method to parse it into a datetime object. In this example, we first import the datetime and timezone classes from the datetime and pytz modules, respectively. # Create a timezone-aware datetime object You can use the timezone class to create a time zone-aware datetime object from a string:ĭt = datetime.strptime(dt_string, '%Y-%m-%d %H:%M:%S') It also provides a timezone class that can be used to create timezone-aware datetime objects. pytz provides a comprehensive list of time zones, including their full names, UTC offsets, and daylight saving time information. One of the most popular libraries for working with time zones in Python is pytz. In this article, we will discuss how to convert strings to datetime objects with timezone information in Python. However, when working with data from different time zones, it's important to take time zones into account. One of the most common operations when working with time-series data is converting strings to datetime objects. The datetime class has several methods for working with dates and times, including parsing strings into datetime objects. In Python, the datetime module provides a class for working with dates and times, known as datetime.
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