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.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
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.
1 maintainer
Metadata
1 maintainer
Release files for napari-h5 0.0.8
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-h5-0.0.8.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_h5-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.2 kB
Release files / napari-h5-0.0.8.tar.gz
| Download URL | napari-h5-0.0.8.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.7
|
Release files / napari_h5-0.0.8-py3-none-any.whl
| Download URL | napari_h5-0.0.8-py3-none-any.whl |
|---|---|
| Size | 11.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.7
|
