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pola-rs
GitHub Repository: pola-rs/polars
Path: blob/main/docs/source/user-guide/transformations/time-series/timezones.md
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Time zones

!!! quote "Tom Scott"

You really should never, ever deal with time zones if you can help it.

The Datetime datatype can have a time zone associated with it. Examples of valid time zones are:

  • None: no time zone, also known as "time zone naive".

  • UTC: Coordinated Universal Time.

  • Asia/Kathmandu: time zone in "area/location" format. See the list of tz database time zones to see what's available.

Caution: Fixed offsets such as +02:00, should not be used for handling time zones. It's advised to use the "Area/Location" format mentioned above, as it can manage timezones more effectively.

Note that, because a Datetime can only have a single time zone, it is impossible to have a column with multiple time zones. If you are parsing data with multiple offsets, you may want to pass utc=True to convert them all to a common time zone (UTC), see parsing dates and times.

The main methods for setting and converting between time zones are:

  • dt.convert_time_zone: convert from one time zone to another.

  • dt.replace_time_zone: set/unset/change time zone.

Let's look at some examples of common operations:

{{code_block('user-guide/transformations/time-series/timezones','example',['str.to_datetime','dt.replace_time_zone'])}}

--8<-- "python/user-guide/transformations/time-series/timezones.py:setup" --8<-- "python/user-guide/transformations/time-series/timezones.py:example"

{{code_block('user-guide/transformations/time-series/timezones','example2',['dt.convert_time_zone','dt.replace_time_zone'])}}

--8<-- "python/user-guide/transformations/time-series/timezones.py:example2"