geoarrow-c for Python
The geoarrow-c Python package provides bindings to the geoarrow-c implementation of the GeoArrow specification. Its primary purpose is to serve as a dependency to geoarrow-python where needed.
Installation
Python bindings for geoarrow are available on PyPI and can be installed with:
pip install geoarrow-c
You can install a development version with:
python -m pip install "git+https://github.com/geoarrow/geoarrow-c.git#egg=geoarrow-c&subdirectory=python/geoarrow-c"
If you can import the namespace, you're good to go!
import geoarrow.c
Example
Most users should use the higher-level
geoarrow-python bindings.
The Python package also provides thin Arrow PyCapsule protocol wrappers around
the compute kernels exposed by geoarrow-c:
import geoarrow.pyarrow as ga
from geoarrow.c import AggregateFunction, ScalarFunction
input_pyarrow = ga.array(["POINT (0 1)"])
format_wkt = ScalarFunction("format_wkt", precision=3)
formatted = format_wkt(input_pyarrow)
box_agg = AggregateFunction("box_agg")
result = box_agg(input_pyarrow)
Each call infers the input type from the array or stream and creates a fresh kernel. Scalar functions preserve stream batch boundaries; aggregate functions combine all batches into a single result array. Results implement the Arrow PyCapsule protocol and can be imported into an Arrow implementation.
Type specification integration
The arrow_to_type_spec() and type_spec_to_arrow() functions bridge
geoarrow.types.TypeSpec objects and the Arrow C Data Interface. This
integration requires the geoarrow-types package but does not require a
particular Arrow implementation.
type_spec_to_arrow() returns a SchemaHolder implementing
__arrow_c_schema__:
import geoarrow.types as gt
from geoarrow.c import type_spec_to_arrow
type_spec = gt.linestring(
dimensions=gt.Dimensions.XYZ,
coord_type=gt.CoordType.INTERLEAVED,
crs="EPSG:4326",
)
schema = type_spec_to_arrow(type_spec)
schema_capsule = schema.__arrow_c_schema__()
arrow_to_type_spec() accepts a SchemaHolder or any other
__arrow_c_schema__ provider and reconstructs the corresponding TypeSpec:
from geoarrow.c import arrow_to_type_spec
roundtripped = arrow_to_type_spec(schema)
assert roundtripped == type_spec.with_defaults().canonicalize()
Building
Python bindings for nanoarrow are managed with setuptools. This means you can build the project using:
git clone https://github.com/geoarrow/geoarrow-c.git
cd python
pip install -e geoarrow-c/
Tests use pytest:
# Install dependencies
cd python/geoarrow-c
pip install -e ".[test]"
# Run tests
pytest
Metadata
Release files for geoarrow-c 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geoarrow_c-0.4.0.tar.gz | 325.1 kB | Details |
Built distributions (wheels)
Total release size: 124.3 MB
Release files / geoarrow_c-0.4.0.tar.gz
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