N-Dimensional Resampler for Irregularly Gridded Data
Grig is a fully N-dimensional resampling package for irregularly gridded data. It was primarily developed for generating astronomical image mosaics and spectral image cubes, but has broad applicability to scientific data arrays with or without associated errors.
For more information about installing and using this package, see the online documentation, or docs/install.rst in the source distribution.
License
This project is Copyright (c) Universities Space Research Association under Government Prime Contract Number NNA17BF53C and licensed under the terms of the BSD 3-Clause license.
Metadata
Release files for grig 1.0.0
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 |
|---|---|---|---|---|
| grig-1.0.0.tar.gz | 9.4 MB | Without provenance | Details for grig-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| grig-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for grig-1.0.0-py3-none-any.whl |
Total release size: 9.7 MB
Release files / grig-1.0.0.tar.gz
| Download URL | grig-1.0.0.tar.gz |
|---|---|
| Size | 9.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.4
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Release files / grig-1.0.0-py3-none-any.whl
| Download URL | grig-1.0.0-py3-none-any.whl |
|---|---|
| Size | 260.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
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Security for grig 1.0.0
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