rasterix: Raster tricks for Xarray
This project contains tools to make it easier to analyze raster data with Xarray. It currently has two pieces.
RasterIndexfor indexing using the affine transform recorded in GeoTIFFs.- Dask-aware rasterization wrappers around
exactextract,rasterio.features.rasterize, andrasterio.features.geometry_mask.
Our intent is to provide reusable building blocks for the many sub-ecosystems around: e.g. rioxarray, odc.geo, etc.
Installing
rasterix releases are available on pypi
pip install rasterix
Metadata
Release files for rasterix 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rasterix-0.2.2.tar.gz | 103.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rasterix-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 153.6 kB
Release files / rasterix-0.2.2.tar.gz
| Download URL | rasterix-0.2.2.tar.gz |
|---|---|
| Size | 103.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / rasterix-0.2.2-py3-none-any.whl
| Download URL | rasterix-0.2.2-py3-none-any.whl |
|---|---|
| Size | 50.0 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/6.1.0 CPython/3.12.8
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