blazing fast cross-matching
Project description
fastxm
For cross-matching astronomical catalogs. Like np.intersect1d but faster.
Installation
From PyPI:
pip install fastxm
From source (requires maturin):
git clone https://github.com/al-jshen/fastxm
cd fastxm
maturin build --release
pip install target/release/<path to wheel>
Example usage
from fastxm import intersect_1d
catalog_1 = ...
catalog_2 = ...
match_ix_1, match_ix_2 = intersect_1d(catalog_1['common_id'], catalog_2['common_id'], parallel=True)
Tests/Benchmarks
This requires pytest and pytest-benchmark.
git clone https://github.com/al-jshen/fastxm
cd fastxm
maturin develop
pytest
Download files
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Source Distribution
fastxm-0.1.5.tar.gz
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Hashes for fastxm-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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