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Helpers for working with Darwin Core (DwC) CSVs using Polars.
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Python 100%
<1%
README.md
polars-darwin-core #
Helpers for working with Darwin Core CSV data using polars.
Usage #
Reading a single Darwin Core CSV file #
from polars_darwin_core import DarwinCoreLazyFrame
lf = DarwinCoreLazyFrame.from_csv("occurrence.csv")
print(lf.collect())
Working with Darwin Core Archives (DwC-A) #
import polars as pl
from polars_darwin_core import DarwinCoreLazyFrame
# Path to an unpacked Darwin Core Archive directory (containing meta.xml)
archive_path = "path/to/dwc/archive"
# Load the core file from the archive
lf = DarwinCoreLazyFrame.from_archive(archive_path)
# Work with the data
df = lf.filter(pl.col("kingdom") == "Animalia").collect()
print(df)
Development #
# Create a virtualenv however you prefer, then:
pip install -e .[dev]
# Run the test-suite
python -m unittest
The project follows the standard PEP 517 build flow via Hatch:
python -m build # create sdist and wheel in ./dist/