nushell/crates/nu-command/src/dataframe
Jérémy Audiger a5c604c283
Uniformize usage() and extra_usage() message ending for commands helper. (#8268)
# Description

Working on uniformizing the ending messages regarding methods usage()
and extra_usage(). This is related to the issue
https://github.com/nushell/nushell/issues/5066 after discussing it with
@jntrnr

# User-Facing Changes

None.

# Tests + Formatting

Don't forget to add tests that cover your changes.

Make sure you've run and fixed any issues with these commands:

- `cargo fmt --all -- --check` to check standard code formatting (`cargo
fmt --all` applies these changes)
- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used -A
clippy::needless_collect` to check that you're using the standard code
style
- `cargo test --workspace` to check that all tests pass

# After Submitting

If your PR had any user-facing changes, update [the
documentation](https://github.com/nushell/nushell.github.io) after the
PR is merged, if necessary. This will help us keep the docs up to date.
2023-02-28 21:33:02 -08:00
..
eager Uniformize usage() and extra_usage() message ending for commands helper. (#8268) 2023-02-28 21:33:02 -08:00
expressions Uniformize usage() and extra_usage() message ending for commands helper. (#8268) 2023-02-28 21:33:02 -08:00
lazy Uniformize usage() and extra_usage() message ending for commands helper. (#8268) 2023-02-28 21:33:02 -08:00
series Uniformize usage() and extra_usage() message ending for commands helper. (#8268) 2023-02-28 21:33:02 -08:00
values Apply more recent/nightly clippy lints (#7916) 2023-01-30 14:06:36 +01:00
mod.rs Lazy dataframes (#5546) 2022-05-16 08:27:43 +01:00
README.md Update the Readme for the dataframe directory (#4757) 2022-03-06 11:05:55 -08:00
test_dataframe.rs Cratification: Break out nu_cmd_lang into a separate crate (#8181) 2023-02-24 09:54:42 -06:00
utils.rs Lazy dataframes (#5546) 2022-05-16 08:27:43 +01:00

Dataframe

This dataframe directory holds all of the definitions of the dataframe data structures and commands.

There are three sections of commands:

For more details see the Nushell book section on dataframes