napari-matplotlib
A plugin to create Matplotlib plots from napari layers
Introduction
napari-matplotlib is a bridge between napari and matplotlib, making it easy to create publication quality Matplotlib plots based on the data loaded in napari layers.
Documentation can be found at https://napari-matplotlib.github.io/
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-matplotlib is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Metadata
1 maintainer
Release files for napari-matplotlib 3.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_matplotlib-3.0.2.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_matplotlib-3.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.8 MB
Release files / napari_matplotlib-3.0.2.tar.gz
| Download URL | napari_matplotlib-3.0.2.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / napari_matplotlib-3.0.2-py3-none-any.whl
| Download URL | napari_matplotlib-3.0.2-py3-none-any.whl |
|---|---|
| Size | 365.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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