grayscalelib.napari
This project is an optional module for grayscalelib to visualize data with napari.
Installation
All releases are published on PyPi, so all the popular installation methods should just work
python -m pip install grayscalelib.napari
Usage
from grayscalelib.napari import view
px = Pixels(np.linspace(0, 1, 64*64).reshape((64,64)))
view(px)
1 maintainer
Metadata
1 maintainer
Release files for grayscalelib.napari 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| grayscalelib_napari-0.0.2.tar.gz | 2.4 kB | Without provenance | Details for grayscalelib_napari-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| grayscalelib_napari-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for grayscalelib_napari-0.0.2-py3-none-any.whl |
Total release size: 4.9 kB
Release files / grayscalelib_napari-0.0.2.tar.gz
| Download URL | grayscalelib_napari-0.0.2.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
uv/0.6.3
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Release files / grayscalelib_napari-0.0.2-py3-none-any.whl
| Download URL | grayscalelib_napari-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.5 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.6.3
|
Security for grayscalelib.napari 0.0.2
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