semvec/pypi-packages huggingface dataset:
napari-h5 0.0.8
A hdf5 file reader plugin for napari
License: Apache-2.0
Requires Python: >=3.8

# napari-h5

[![License Apache Software License 2.0](https://img.shields.io/pypi/l/napari-h5.svg?color=green)](https://github.com/rosalindfranklininstitute/napari-h5/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-h5.svg?color=green)](https://pypi.org/project/napari-h5)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-h5.svg?color=green)](https://python.org)
[![tests](https://github.com/rosalindfranklininstitute/napari-h5/workflows/tests/badge.svg)](https://github.com/rosalindfranklininstitute/napari-h5/actions)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-h5)](https://napari-hub.org/plugins/napari-h5)

A file reader plugin for napari


It opens simple *.h5 files. Reads all Datasets inside the file and converts to
a napari Image object (np.array).

It can also save "image" or "labels" data. Note that these will be saved individually.

It does not support data organised internally in "groups".
For these more complicated h5 data structures please try other plugins.

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This [napari] plugin was generated with [Cookiecutter] using [@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/stable/plugins/index.html
-->

## Installation

You can install `napari-h5` via [pip]:

    pip install napari-h5




## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [Apache Software License 2.0] license,
"napari-h5" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/