GeoArrow for Python#

The GeoArrow Python packages provide an implementation of the GeoArrow specification that integrates with pyarrow and pandas. The GeoArrow Python bindings enable input/output to/from Arrow-friendly formats (e.g., Parquet, Arrow Stream, Arrow File) and general-purpose coordinate shuffling tools among GeoArrow, WKT, and WKB encodings.

Installation#

Python bindings for GeoArrow are available on PyPI. You can install them with:

pip install geoarrow-pyarrow geoarrow-pandas

You can install the latest development versions with:

pip install "git+https://github.com/geoarrow/geoarrow-python.git#egg=geoarrow-pyarrow&subdirectory=geoarrow-pyarrow"
pip install "git+https://github.com/geoarrow/geoarrow-python.git#egg=geoarrow-pandas&subdirectory=geoarrow-pandas"

If you can import the namespaces, you’re good to go!

import geoarrow.pyarrow as ga
import geoarrow.pandas as _

Examples#

You can create geoarrow-encoded pyarrow.Arrays with as_geoarrow():

ga.as_geoarrow(["POINT (0 1)"])

PointArray:PointType(geoarrow.point)[1]
<POINT (0 1)>

This will work with:

An existing array created by geoarrow
A geopandas.GeoSeries
A pyarrow.Array or pyarrow.ChunkedArray (geoarrow text interpreted as well-known text; binary interpreted as well-known binary)
Anything that pyarrow.array() will convert to a text or binary array

If there is no common geometry type among elements of the input, as_geoarrow() will fall back to well-known binary encoding. To explicitly convert to well-known text or binary, use as_wkt() or as_wkb().

Alternatively, you can construct GeoArrow arrays directly from a series of buffers as described in the specification:

import numpy as np

ga.point().from_geobuffers(
    None,
    np.array([1.0, 2.0, 3.0]),
    np.array([3.0, 4.0, 5.0])
)

PointArray:PointType(geoarrow.point)[3]
<POINT (1 3)>
<POINT (2 4)>
<POINT (3 5)>

ga.point().with_coord_type(ga.CoordType.INTERLEAVED).from_geobuffers(
    None,
    np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
)

PointArray:PointType(interleaved geoarrow.point)[3]
<POINT (1 2)>
<POINT (3 4)>
<POINT (5 6)>

Importing geoarrow.pyarrow will register the geoarrow extension types with pyarrow such that you can read/write Arrow streams, Arrow files, and Parquet that contains Geoarrow extension types. A number of these files are available from the geoarrow-data repository.

import urllib.request
from pyarrow import feather

url = "https://github.com/geoarrow/geoarrow-data/releases/download/v0.1.0/ns-water-basin_line.arrow"
local_filename, headers = urllib.request.urlretrieve(url)
feather.read_table(local_filename).schema

OBJECTID: int64
FEAT_CODE: string
LINE_CLASS: int32
MISCID_1: string
MISCNAME_1: string
MISCID_2: string
MISCNAME_2: string
HID: string
MISCID_3: string
MISCNAME_3: string
MISCID_4: string
MISCNAME_4: string
SHAPE_LEN: double
geometry: extension<geoarrow.multilinestring<MultiLinestringType>>

The as_geoarrow() function can accept a geopandas.GeoSeries as input:

import geopandas

url = "https://github.com/geoarrow/geoarrow-data/releases/download/v0.1.0/ns-water-basin_line.fgb.zip"
df = geopandas.read_file(url)
array = ga.as_geoarrow(df.geometry)
array

MultiLinestringArray:MultiLinestringType(geoarrow.multilinestring <{"$schema":"https://proj.org/schema...>)[255]
<MULTILINESTRING ((648686.210534334 5099183.050480807, 648626.2095...>
<MULTILINESTRING ((687688.0166642987 5117030.253445747, 686766.217...>
<MULTILINESTRING ((631355.7058094738 5122893.354471898, 631364.529...>
<MULTILINESTRING ((665166.2114203956 5138643.056812348, 665146.211...>
<MULTILINESTRING ((673606.2114490251 5162963.061371056, 673606.211...>
...245 values...
<MULTILINESTRING ((681672.817898342 5078602.646958541, 681866.2179...>
<MULTILINESTRING ((414868.0669037141 5093041.933686847, 414793.966...>
<MULTILINESTRING ((414868.0669037141 5093041.933686847, 414829.866...>
<MULTILINESTRING ((414868.0669037141 5093041.933686847, 414937.366...>
<MULTILINESTRING ((648686.210534334 5099183.050480807, 648866.2105...>

You can convert back to geopandas using to_geopandas():

ga.to_geopandas(array)

    MULTILINESTRING ((648686.211 5099183.050, 6486...
    MULTILINESTRING ((687688.017 5117030.253, 6867...
    MULTILINESTRING ((631355.706 5122893.354, 6313...
    MULTILINESTRING ((665166.211 5138643.057, 6651...
    MULTILINESTRING ((673606.211 5162963.061, 6736...
                             ...
  MULTILINESTRING ((681672.818 5078602.647, 6818...
  MULTILINESTRING ((414868.067 5093041.934, 4147...
  MULTILINESTRING ((414868.067 5093041.934, 4148...
  MULTILINESTRING ((414868.067 5093041.934, 4149...
  MULTILINESTRING ((648686.211 5099183.050, 6488...
Length: 255, dtype: geometry

Pandas integration#

The geoarrow-pandas package provides an extension array that wraps geoarrow memory and an accessor that provides pandas-friendly wrappers around the compute functions available in geoarrow.pyarrow.

import geoarrow.pandas as _
import pandas as pd

df = pd.read_feather("https://github.com/geoarrow/geoarrow-data/releases/download/v0.1.0/ns-water-basin_point.arrow")
df.geometry.geoarrow.format_wkt().head(5)

   MULTIPOINT (277022.6936181751 4820886.609673489)
   MULTIPOINT (315701.2552756762 4855051.378571571)
  MULTIPOINT (255728.65994492616 4851022.107901295)
   MULTIPOINT (245206.7841665779 4895609.409696873)
  MULTIPOINT (337143.18135472975 4860312.288760258)
dtype: string[pyarrow]

Building#

Python bindings for geoarrow are managed with setuptools. This means you can build the project using:

git clone https://github.com/geoarrow/geoarrow-python.git
pip install -e geoarrow-pyarrow/ geoarrow-pandas/

Tests use pytest:

pytest

GeoArrow for Python#

Installation#

Examples#

Pandas integration#

Building#

Contents#