nu_plugin_plotters

A nushell plugin for plotting charts.


Version Nu Version License

## About `nu_plugin_plotters` is a plugin for [Nushell](https://www.nushell.sh) that provides easy plotting of data using [`plotters`](https://github.com/plotters-rs/plotters). ![screenshot](../../media/draw-terminal.png) ## Usage The plugin provides three main commands: - **`series`**: Use this command to create a dataset from a list of data points. You can pass in: - A table with `x` and `y` columns. - A list of 2-element lists representing `x` and `y` coordinates. - A plain list of numbers, where the index of each value becomes the `x` value. You can also apply custom styling to the series. - **`chart`**: This command creates a chart from one or more series. You can either pipe the series into the command or pass them as arguments. Charts can also be extended by adding more series, and you have options to customize the chart's appearance. - **`draw`**: This renders the chart onto a canvas. You can output to an SVG file (using the `save` command) or display directly in the terminal (if it supports Sixel graphics). [Check terminal Sixel support here](https://www.arewesixelyet.com). These commands are modular, allowing you to build and inspect charts step by step. Each command's output is a custom value that can be converted into standard Nu values for further inspection or manipulation. ## `nu-jupyter-kernel` Integration This plugin is directly integrated into the [`nu-jupyter-kernel`](https://github.com/cptpiepmatz/nu-jupyter-kernel) and therefore doesn't need to installed separately in order to create charts for the notebook. Also charts are automatically "drawn" and don't need to be called via `draw svg`. Just output the chart and the kernel will execute the `draw svg` command automatically (you may need to enforce this using `nuju display svg`). This plugin is integrated directly into the [`nu-jupyter-kernel`](https://github.com/cptpiepmatz/nu-jupyter-kernel), so there's no need for separate installation to create charts within Jupyter notebooks. Charts are automatically rendered without the need to explicitly call `draw svg`. Simply output the chart, and the kernel will handle the `draw svg` command behind the scenes. If necessary, you can enforce this behavior by using the `nuju display svg` command. ## Version Scheme This crate follows the semantic versioning scheme as required by the [Rust documentation](https://doc.rust-lang.org/cargo/reference/semver.html). The version number is represented as `x.y.z+a.b.c`, where `x.y.z` is the version of the crate and `a.b.c` is the version of the `nu-plugin` that this crate is built with. The `+` symbol is used to separate the two version numbers.