A Plugin for napari to visualize pixel values over the first dimension (time -> t+3D, t+2D) as graphs.
Project description
napari-time_series_plotter
A Plugin for napari to visualize pixel / voxel values over the first dimension (time -> t+3D, t+2D) as graphs.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-time_series_plotter
via pip:
pip install napari-time_series_plotter
To install latest development version :
pip install git+https://github.com/ch-n/napari-time_series_plotter.git
Usage
After installation the plugin adds two widgets to the viewer, one is for selecting the layers you want to examine and the other contains the plot.
If you selected at least one layer, moving your mouse over the image while holing shift will display the time series data of the hovered voxel as a graph in the plot widget. In the upper right corner a legend with the layer names will be displayed.
Only 3D and 4D images are supported. Selecting a layer of different dimensionality will result in a waring without plotting anything.
ToDo
- Add simple usage instructions to README
- Add gif highlighting usage to README
- Complete unit tests
- Complete in code documentation
- Add Sphinx documentation
- Upload to PyPi
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-time_series_plotter" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for napari-time_series_plotter-0.0.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca9702bf73771ea4db901144f086abc6d9bbaad921bbab08356d53db3ac387fd |
|
MD5 | 5ee6f18b60d6309fd61370204e3dc9e4 |
|
BLAKE2b-256 | db1d91279b5e168bfb3d1583086b7bd0c46d029a428a699af6e9321e9c1eafe9 |