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Скачать или смотреть How to Get the Standard UTC Offset for a Timezone in Python

  • vlogize
  • 2025-09-02
  • 0
How to Get the Standard UTC Offset for a Timezone in Python
Standard UTC offset (Without DST) for a give TimeZone in Pythonpythonpython 3.xdatetimetimezone offsetpytz
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Описание к видео How to Get the Standard UTC Offset for a Timezone in Python

Discover how to efficiently retrieve the `standard UTC offset` in Python without considering Daylight Saving Time (DST) using the `zoneinfo` library.
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This video is based on the question https://stackoverflow.com/q/64550609/ asked by the user 'gkarya42' ( https://stackoverflow.com/u/4192575/ ) and on the answer https://stackoverflow.com/a/64551033/ provided by the user 'FObersteiner' ( https://stackoverflow.com/u/10197418/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Standard UTC offset (Without DST) for a give TimeZone in Python

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding UTC Offsets in Python

When working with timezones in programming, it's essential to understand how to manage UTC (Coordinated Universal Time) offsets. In many applications, especially those involving scheduling or timestamps, you may need to group different timezones based on their standard UTC offsets, ignoring any adjustments for Daylight Saving Time (DST). If you find yourself needing to perform this task in Python, here’s a comprehensive guide on how to achieve it.

The Problem

You may encounter a situation where you need to group several timezone codes by their standard UTC offset, meaning you want to consider the offset without factoring in DST. For instance, if you want to categorize timezones with offsets between 4 and 6 hours, you'll need a method to accurately retrieve the standard UTC offset for each timezone.

Common Pitfall

The challenge arises when you realize that using certain methods, such as localizing a datetime object with a specific timezone, may give you the UTC offset including DST. For example, a direct call with pytz might result in an offset that doesn’t serve your grouping needs appropriately.

The Solution

To get the correct standard UTC offset for a timezone, you can utilize the datetime and zoneinfo libraries in Python. Below, I'll explain the steps necessary to achieve this.

Step-by-Step Breakdown

Import Necessary Libraries: You'll need to import the datetime and zoneinfo modules. The zoneinfo module is available starting with Python 3.9, which allows you to work with timezones seamlessly.

[[See Video to Reveal this Text or Code Snippet]]

Create Datetime Objects: You should create two datetime objects for specific dates: one in winter (when DST is typically not in effect) and another in summer (when DST would apply). This will give you two distinct offsets based on the time of year.

[[See Video to Reveal this Text or Code Snippet]]

Calculate UTC Offsets: The critical part is to compute the standard UTC offset by subtracting the DST from the UTC offset. Here’s how it's done:

[[See Video to Reveal this Text or Code Snippet]]

Output Result: You can print the results to verify if the two offsets are identical (they should be for standard offsets):

[[See Video to Reveal this Text or Code Snippet]]

Example Code

Here's the complete code snippet you can run:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you can efficiently determine the standard UTC offset for any timezone in Python, excluding any influence from Daylight Saving Time. This method ensures you can group timezones based on uniform criteria, helping with various applications such as scheduling, logging, and data analysis.

If you have any more queries about mastering timezone-related tasks in Python, don’t hesitate to ask!

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