This release is a pre-release and may not be stable for production use.
napari-math
This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers.
- addition
- subtraction
- multiplication
- division
- logical and, or, xor
- z-projection (mean and sum)
Operations can be peformed on a single layer or between Image layers (functionaly pending for Surface and Point layers), for example adding one layer to another.
When performing operations on two images of different sizes, the result will be the size of the smallest of the two images.
Installation
You can install napari-math via pip:
pip install napari-math
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 MIT license, "napari-math" is free and open source software
Issues
If you encounter any problems, please file an [issue] along with a detailed description.
Release files for napari-math 0.0.1b0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari-math-0.0.1b0.tar.gz | 10.4 kB | Without provenance | Details for napari-math-0.0.1b0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_math-0.0.1b0-py3-none-any.whl | Python 3 | none | any | Details for napari_math-0.0.1b0-py3-none-any.whl |
Total release size: 17.6 kB
Release files / napari-math-0.0.1b0.tar.gz
| Download URL | napari-math-0.0.1b0.tar.gz |
|---|---|
| Size | 10.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1f882ec11060bb14f3b245421bfc41a4602e25c986bbbe6ac90183576cc18bdc
|
|
BLAKE2b-256 checksum How to use checksums |
d63cad2fdb3142227bfc1cc78bda63a5da5a30ebc474aedab1534c9ede61b8eb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
|
Release files / napari_math-0.0.1b0-py3-none-any.whl
| Download URL | napari_math-0.0.1b0-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3e1ddb1aeeded7d477907794cb73629cabc7a6ced27f99e7404ddc2eb21fe089
|
|
BLAKE2b-256 checksum How to use checksums |
f86a6323bc2c8f58cb7ddc8771c2156cabb8c0b667b9b5a0c576c1fbaeb823f2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
|
Security for napari-math 0.0.1b0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
