⚠️ Please use MultiscaleSpatialImage.to_zarr instead
spatial-image-ngff
Serialize and deserialize a multiscale spatial image to the 18 OME-Zarr Next Generation File Format (NGFF).
Development
Contributions are welcome and appreciated.
To run the test suite:
git clone https://github.com/spatial-image/spatial-image-ngff
cd spatial-image-ngff
pip install -r requirements.txt -r requirements-dev.txt
pytest
Release files for spatial_image_ngff 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spatial_image_ngff-0.1.1.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spatial_image_ngff-0.1.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 12.5 kB
Release files / spatial_image_ngff-0.1.1.tar.gz
| Download URL | spatial_image_ngff-0.1.1.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
python-requests/2.27.1
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Release files / spatial_image_ngff-0.1.1-py2.py3-none-any.whl
| Download URL | spatial_image_ngff-0.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.27.1
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