diff --git a/examples/example.parquet b/examples/example.parquet index f9efd0d..6550284 100644 Binary files a/examples/example.parquet and b/examples/example.parquet differ diff --git a/examples/example_metadata.json b/examples/example_metadata.json index 955d7fb..92204dc 100644 --- a/examples/example_metadata.json +++ b/examples/example_metadata.json @@ -9,7 +9,7 @@ 83.6451 ], "crs": { - "$schema": "https://proj.org/schemas/v0.5/projjson.schema.json", + "$schema": "https://proj.org/schemas/v0.6/projjson.schema.json", "area": "World.", "bbox": { "east_longitude": 180, diff --git a/scripts/generate_example.py b/scripts/generate_example.py index ea448cc..27ea618 100644 --- a/scripts/generate_example.py +++ b/scripts/generate_example.py @@ -18,7 +18,7 @@ HERE = pathlib.Path(__file__).parent df = geopandas.read_file(geopandas.datasets.get_path("naturalearth_lowres")) -df = df.to_crs("crs84") +df = df.to_crs("ogc:84") table = pa.Table.from_pandas(df.head().to_wkb()) diff --git 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+pandas = "^2" click = "^8.1.2" [tool.poetry.group.dev.dependencies] diff --git a/scripts/write_nz_building_outline.py b/scripts/write_nz_building_outline.py index 1e5ccb5..cc65741 100644 --- a/scripts/write_nz_building_outline.py +++ b/scripts/write_nz_building_outline.py @@ -1,6 +1,5 @@ import json import sys -from enum import Enum from pathlib import Path from typing import Any, Dict, List @@ -10,12 +9,13 @@ import pandas as pd import pyarrow as pa import pyarrow.parquet as pq -import pygeos +import shapely from numpy.typing import NDArray +from shapely import GeometryType AVAILABLE_COMPRESSIONS = ["NONE", "SNAPPY", "GZIP", "BROTLI", "LZ4", "ZSTD"] -PygeosGeometryArray = NDArray[pygeos.Geometry] +ShapelyGeometryArray = NDArray[np.object_] class PathType(click.Path): @@ -25,37 +25,21 @@ def convert(self, value, param, ctx): return Path(super().convert(value, param, ctx)) -class GeometryType(int, Enum): - """Pygeos (GEOS) geometry type mapping - From https://pygeos.readthedocs.io/en/latest/geometry.html?highlight=type#pygeos.geometry.get_type_id - """ - - Missing = -1 - Point = 0 - LineString = 1 - LinearRing = 2 - Polygon = 3 - MultiPoint = 4 - MultiLinestring = 5 - MultiPolygon = 6 - GeometryCollection = 7 - - -def parse_to_pygeos(df: gpd.GeoDataFrame) -> Dict[str, PygeosGeometryArray]: - """Parse to pygeos geometry array +def parse_to_shapely(df: gpd.GeoDataFrame) -> Dict[str, ShapelyGeometryArray]: + """Parse to shapely geometry array This is split out from _create_metadata so that we don't have to create the pygeos array twice: once for converting to wkb and another time for metadata handling. """ - geometry_columns: Dict[str, PygeosGeometryArray] = {} + geometry_columns: Dict[str, ShapelyGeometryArray] = {} for col in df.columns[df.dtypes == "geometry"]: - geometry_columns[col] = df[col].array.data + geometry_columns[col] = df[col].values return geometry_columns def _create_metadata( - df: gpd.GeoDataFrame, geometry_columns: Dict[str, PygeosGeometryArray] + df: gpd.GeoDataFrame, geometry_columns: Dict[str, ShapelyGeometryArray] ) -> Dict[str, Any]: """Create and encode geo metadata dict. @@ -72,7 +56,7 @@ def _create_metadata( column_metadata = {} for col, geometry_array in geometry_columns.items(): geometry_types = get_geometry_types(geometry_array) - bbox = list(pygeos.total_bounds(geometry_array)) + bbox = list(shapely.total_bounds(geometry_array)) series = df[col] column_metadata[col] = { @@ -100,8 +84,8 @@ def _create_metadata( } -def get_geometry_types(pygeos_geoms: PygeosGeometryArray) -> List[str]: - type_ids = pygeos.get_type_id(pygeos_geoms) +def get_geometry_types(shapely_geoms: ShapelyGeometryArray) -> List[str]: + type_ids = shapely.get_type_id(shapely_geoms) unique_type_ids = set(type_ids) geom_type_names: List[str] = [] @@ -124,7 +108,7 @@ def encode_metadata(metadata: Dict) -> bytes: """ # Remove unnecessary whitespace in JSON metadata # https://stackoverflow.com/a/33233406 - return json.dumps(metadata, separators=(',', ':')).encode("utf-8") + return json.dumps(metadata, separators=(",", ":")).encode("utf-8") def cast_dtypes(df: gpd.GeoDataFrame) -> gpd.GeoDataFrame: @@ -149,12 +133,12 @@ def cast_dtypes(df: gpd.GeoDataFrame) -> gpd.GeoDataFrame: def geopandas_to_arrow(df: gpd.GeoDataFrame) -> pa.Table: - geometry_columns = parse_to_pygeos(df) + geometry_columns = parse_to_shapely(df) geo_metadata = _create_metadata(df, geometry_columns) df = pd.DataFrame(df) for col, geometry_array in geometry_columns.items(): - df[col] = pygeos.to_wkb(geometry_array) + df[col] = shapely.to_wkb(geometry_array) table = pa.Table.from_pandas(df, preserve_index=False)