napari-plot

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1d plotting in napari-based canvas.

napari-plot 최신버젼 다운로드

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# napari-plot

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## Interactive plotting in napari or a standalone Qt viewer

napari-plot provides GPU-accelerated Line, Scatter, MultiLine, Centroids, Text,
Region, InfLine, and Bar layers. It supports linear, logarithmic, and categorical
axes, an interactive legend, data selection tools, and image display.

## Usage

You can use `napari-plot` alongside `napari` where it is embedded as a dock widget. If using this option, controls are relegated to a toolbar
where you can adjust layer properties like you would do in `napari`.

![embedded](https://github.com/lukasz-migas/napari-plot/raw/main/misc/embedded.png)

Or as a standalone app where only one-dimensional plotting is enabled. In this mode, controls take central stage and reflect `napari's` own
behaviour where layer controls are embedded in the main application.

![live-view](https://github.com/lukasz-migas/napari-plot/raw/main/misc/napariplot-live-line.gif)

Data selection is also permitted by enabling one of the available selection tools.

![scatter-select](https://github.com/lukasz-migas/napari-plot/raw/main/misc/napariplot-scatter-select.gif)

## Roadmap:

This is only provisional list of features that I would like to see implemented. It barely scratches the surface of what plotting tool should cover so as soon as the basics are covered,
focus will be put towards adding more exotic features. If there are features that you certainly wish to be included,
please modify the list below or create a [new issue](https://github.com/lukasz-migas/napari-plot/issues/new)

- [ ] Support for new layer types. Layers are based on `napari's` `Layer`, albeit in a two-dimensional setting. Supported and planned layers:
  - [x] Line Layer - simple line plot.
  - [x] Scatter Layer - scatter plot (similar to `napari's Points` layer).
  - [x] Centroids/Segments Layer - horizontal or vertical line segments.
  - [x] InfLine Layer - infinite horizontal or vertical lines that span over very broad range. Useful for defining regions of interest.
  - [x] Region Layer - infinite horizontal or vertical rectangular boxes that span over very broad range. Useful for defining regions of interest.
  - [x] Shapes Layer - `napari's` own `Shapes` layer
  - [x] Points Layer - `napari's` own `Points` layer
  - [x] Multi-line Layer - more efficient implementation of `Line` layer when multiple lines are necessary.
  - [x] Bar - horizontal and vertical bar charts.
- [x] Proper interactivity of each layer type (e.g. moving `Region` or `InfLine`, adding points, etc...)
- [x] Intuitive interactivity. `napari-plot` will provide excellent level of interactivity with the plotted data. We plan to support several types of `Tools` that permit efficient interrogation of the data. We currently provide several `zoom` and `select` tools and hope to add few extras in the future.
  - [x] Box-zoom - standard zooming rectangle. Simply `left-mouse + drag/release` in the canvas on region of interest
  - [x] Horizontal span - zoom-in only in the y-axis by `Ctrl + left-mouse + drag/release` in the canvas.
  - [x] Vertical span - span-in only in the x-axis by `Shift + left-mouse + drag/release` in the canvas.
  - [x] Rectangle select - rectangle tool allowing sub-selection of data in the canvas. Similar to the `Box-zoom` but without the zooming part.
  - [x] Polygon select - polygon tool allowing sub-selection of data in the canvas.
  - [x] Lasso select - lasso tool allowing sub-selection of data in the canvas.
- [x] Interactive plot legend
- [x] Customizable axis visuals.
  - [x] Plot axis enabling customization of tick/label size and color
  - [x] Support for logarithmic and categorical scales
- [x] Add convenient plotting interface:
  - [x] Add `.plot` functionality
  - [x] Add `.scatter` functionality
  - [x] Add `.hbar` and `.vbar` functionality
  - [x] Add `.imshow` functionality

----------------------------------

This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.

<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started

and review the napari docs for plugin developers:
https://napari.org/docs/plugins/index.html
-->

## Installation

You can install `napari-plot` directly from PyPI via:

```shell
pip install napari-plot
```

or from the git repo:

```shell
git clone https://github.com/lukasz-migas/napari-plot.git
cd napari-plot
pip install -e '.[all]'
```

Python 3.11 or later is required. See the
[documentation](https://napari-plot.readthedocs.io/) for standalone and embedded
quick starts, layer examples, axis controls, interactions, and the public API.

## Contributing

Contributions are very welcome. Install the test environment and run the tests with [uv]:

```shell
uv sync --no-dev --group test --extra pyqt6 --extra optional
uv run --no-sync pytest
```

Please ensure the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [BSD-3] license,
"napari-plot" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

## Support

This project is supported by a Chan-Zuckerberg Initiative [napari](https://chanzuckerberg.com/science/programs-resources/imaging/napari/maintain-1d-visualization-plugin/) grant.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/lukasz-migas/napari-plot/issues
[napari]: https://github.com/napari/napari
[uv]: https://docs.astral.sh/uv/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/

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