pyz4 1a0778d77e
polars: add new command polars replace-time-zone (#15538)
<!--
if this PR closes one or more issues, you can automatically link the PR
with
them by using one of the [*linking
keywords*](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword),
e.g.
- this PR should close #xxxx
- fixes #xxxx

you can also mention related issues, PRs or discussions!
-->

# Description
<!--
Thank you for improving Nushell. Please, check our [contributing
guide](../CONTRIBUTING.md) and talk to the core team before making major
changes.

Description of your pull request goes here. **Provide examples and/or
screenshots** if your changes affect the user experience.
-->
This PR seeks to add a direct port of the python polars
`replace_time_zone` command in the `dt` namespace
(https://docs.pola.rs/api/python/stable/reference/series/api/polars.Series.dt.replace_time_zone.html).

Please note: I opted for two keywords "dt" and "replace-time-zone" to
map directly with the implementation in both the rust and python
packages, but I'm open to simplifying it to just one keyword, or `polars
replace-time-zone`

```nushell
#  Apply timezone to a naive datetime
  > ["2021-12-30 00:00:00" "2021-12-31 00:00:00"] | polars into-df
                    | polars as-datetime "%Y-%m-%d %H:%M:%S" --naive
                    | polars select (polars col datetime | polars dt replace-time-zone "America/New_York")
  ╭───┬─────────────────────╮
  │ # │      datetime       │
  ├───┼─────────────────────┤
  │ 0 │ 12/30/21 12:00:00AM │
  │ 1 │ 12/31/21 12:00:00AM │
  ╰───┴─────────────────────╯

#  Apply timezone with ambiguous datetime
  > ["2025-11-02 00:00:00", "2025-11-02 01:00:00", "2025-11-02 02:00:00", "2025-11-02 03:00:00"]
                    | polars into-df
                    | polars as-datetime "%Y-%m-%d %H:%M:%S" --naive
                    | polars select (polars col datetime | polars dt replace-time-zone "America/New_York" --ambiguous null)
  ╭───┬─────────────────────╮
  │ # │      datetime       │
  ├───┼─────────────────────┤
  │ 0 │ 11/02/25 12:00:00AM │
  │ 1 │                     │
  │ 2 │ 11/02/25 02:00:00AM │
  │ 3 │ 11/02/25 03:00:00AM │
  ╰───┴─────────────────────╯

#  Apply timezone with nonexistent datetime
  > ["2025-03-09 01:00:00", "2025-03-09 02:00:00", "2025-03-09 03:00:00", "2025-03-09 04:00:00"]
                    | polars into-df
                    | polars as-datetime "%Y-%m-%d %H:%M:%S" --naive
                    | polars select (polars col datetime | polars dt replace-time-zone "America/New_York" --nonexistent null)
  ╭───┬─────────────────────╮
  │ # │      datetime       │
  ├───┼─────────────────────┤
  │ 0 │ 03/09/25 01:00:00AM │
  │ 1 │                     │
  │ 2 │ 03/09/25 03:00:00AM │
  │ 3 │ 03/09/25 04:00:00AM │
  ╰───┴─────────────────────╯
```

# User-Facing Changes
No breaking changes. The user will be able to access the new command.

# Tests + Formatting
See example tests.

# After Submitting
2025-04-11 09:09:37 -07:00
..
2025-04-11 05:15:36 -04:00
2025-04-11 08:02:01 -05:00
2025-04-06 09:49:28 +08:00
2025-04-06 09:49:28 +08:00
2025-04-08 08:51:12 +08:00
2025-04-07 13:36:23 +02:00
2025-04-06 09:49:28 +08:00
2025-04-11 08:02:01 -05:00
2025-04-06 09:49:28 +08:00
2022-02-07 14:54:06 -05:00

Nushell core libraries and plugins

These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.

Foundational libraries are split into two kinds of crates:

  • Core crates - those crates that work together to build the Nushell language engine
  • Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.

Plugins are likewise also split into two types:

  • Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
  • Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.