# napari-plot-profile (npp)
[![License](https://img.shields.io/pypi/l/napari-plot-profile.svg?color=green)](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-plot-profile.svg?color=green)](https://pypi.org/project/napari-plot-profile)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-plot-profile.svg?color=green)](https://python.org)
[![tests](https://github.com/haesleinhuepf/napari-plot-profile/workflows/tests/badge.svg)](https://github.com/haesleinhuepf/napari-plot-profile/actions)
[![codecov](https://codecov.io/gh/haesleinhuepf/napari-plot-profile/branch/master/graph/badge.svg)](https://codecov.io/gh/haesleinhuepf/napari-plot-profile)
[![Development Status](https://img.shields.io/pypi/status/napari-plot-profile.svg)](https://en.wikipedia.org/wiki/Software_release_life_cycle#Alpha)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-plot-profile)](https://napari-hub.org/plugins/napari-plot-profile)
## Plot a Line Profile
Plot intensities along a line in [napari].
![img.png](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/docs/napari-plot-profile-screencast.gif)
* Open some images in [napari].
* Add a shapes layer.
![img.png](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/docs/add_shapes_layer_screenshot.png)
* Activate the line drawing tool or the path tool and draw a line.
![img.png](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/docs/draw_line_tool_screenshot.png)
* After drawing a line, click on the menu Plugins > Measurements (Plot Profile)
* If you modify the line, you may want to click the "Refresh" button to redraw the profile.
![img.png](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/docs/redraw_screenshot.png)
To see how these steps can be done programmatically from python, check out the [demo notebook](https://github.com/haesleinhuepf/napari-plot-profile/blob/main/docs/demo.ipynb)
## Create a Topographical View
Create a 3D view of a 2D image by warping pixel intensities to heights. It can be displayed as a 3D image layer, a points cloud layer or a surface layer.
![](https://github.com/haesleinhuepf/napari-plot-profile/raw/main/docs/topographical_view_screencast.gif)
This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.
----------------------------------
## Installation
You can install `napari-plot-profile` via [pip]:
pip install napari-plot-profile
## 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 [BSD-3] license,
"napari-plot-profile" is free and open source software
## Issues
If you encounter any problems, please create a thread on [image.sc] along with a detailed description and tag [@haesleinhuepf].
[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
[file an issue]: https://github.com/haesleinhuepf/napari-plot-profile/issues
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
[image.sc]: https://image.sc
[@haesleinhuepf]: https://twitter.com/haesleinhuepf
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