This release is a pre-release and may not be stable for production use.
Quadfeather
Quickly create deep quadtree structures from CSV or feather files to allow serving over HTTP or quicker access to random portions of spatial data.
Each node in the quadtree is a single feather file containing some number of rows (default 2**16) and arrow metadata indicating the existence of children.
From the command line (basic):
WORK IN PROGRESS BELOW.
python -m pip install git+https://github.com/bmschmidt/quadfeather
quadfeather-test-data 255000 # populates a csv at tmp.csv with 255000 items
quadfeather --files tmp.csv --destination tiles
From a python iterable of Arrow record batches (advanced)
Todo
- Allow splitting off of some columns.
- Explain JS integration.
- Octtree for 3-d data.
Optional todo
- Other partition strategies? Quadtree is easy to understand.,
- Linked-open data standards.
1 maintainer
Metadata
1 maintainer
Release files for quadfeather 2.3.0rc1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| quadfeather-2.3.0rc1.tar.gz | 39.6 kB | Without provenance | Details for quadfeather-2.3.0rc1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| quadfeather-2.3.0rc1-py3-none-any.whl | Python 3 | none | any | Details for quadfeather-2.3.0rc1-py3-none-any.whl |
Total release size: 62.3 kB
Release files / quadfeather-2.3.0rc1.tar.gz
| Download URL | quadfeather-2.3.0rc1.tar.gz |
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| Size | 39.6 kB |
| Tags | Source |
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Release files / quadfeather-2.3.0rc1-py3-none-any.whl
| Download URL | quadfeather-2.3.0rc1-py3-none-any.whl |
|---|---|
| Size | 22.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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uv/0.6.10
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