Fixes for 0.1 (#125)

CHANGELOG.md

@@ -0,0 +1,6 @@
+# Changelog
+
+## [0.1.0] - 2023-10-17
+
+- Initial public release.
+- Initial support for `ScatterplotLayer`, `PathLayer`, and `SolidPolygonLayer`.

DEVELOP.md

@@ -72,8 +72,4 @@ The documentation website is generated with `mkdocs` and [`mkdocs-material`](htt
 poetry run mkdocs serve
 ```
 
-and you can publish the docs to Github Pages with
-
-```
-poetry run mkdocs gh-deploy
-```
+Publishing documentation happens automatically via CI when a PR is merged.

README.md

@@ -20,9 +20,23 @@ Python library for extremely fast geospatial vector data visualization in Jupyte
 ## Install
 
 ```
-pip install --pre lonboard
+pip install lonboard
 ```
 
+## Get Started
+
+For the simplest rendering, pass geospatial data into the top-level [`viz` function](https://developmentseed.org/lonboard/api/top-level/#lonboard.viz.viz).
+
+```py
+import geopandas as gpd
+from lonboard import viz
+
+gdf = gpd.GeoDataFrame(...)
+viz(gdf)
+```
+
+Under the hood, this delegates to a `ScatterplotLayer`, `PathLayer`, or `SolidPolygonLayer`. Refer to the [documentation](https://developmentseed.org/lonboard/) and [examples](https://developmentseed.org/lonboard/examples/internet-speeds/) for more control over rendering.
+
 ## Documentation
 
 Refer to the documentation at [developmentseed.org/lonboard](https://developmentseed.org/lonboard/).

lonboard/serialization.py

@@ -11,7 +11,7 @@
 DEFAULT_PARQUET_COMPRESSION_LEVEL = 7
 DEFAULT_PARQUET_CHUNK_SIZE = 2**16
 # Target chunk size for Arrow (uncompressed) per Parquet chunk
-DEFAULT_ARROW_CHUNK_BYTES_SIZE = 10 * 1024 * 1024  # 10MB
+DEFAULT_ARROW_CHUNK_BYTES_SIZE = 5 * 1024 * 1024  # 5MB
 
 
 def serialize_table_to_parquet(

lonboard/traits.py

@@ -74,7 +74,7 @@ class ColorAccessor(traitlets.TraitType):
         _description_
     """
 
-    default_value = (255, 255, 255)
+    default_value = (0, 0, 0)
     info_text = (
         "a tuple or list representing an RGB(A) color or numpy ndarray or "
         "pyarrow FixedSizeList representing an array of RGB(A) colors"

lonboard/viz.py

@@ -10,12 +10,13 @@
 import pyarrow as pa
 import pyarrow.compute as pc
 import shapely.geometry
+import shapely.geometry.base
 from numpy.typing import NDArray
 
 from lonboard.constants import EPSG_4326, EXTENSION_NAME, OGC_84
 from lonboard.geoarrow.extension_types import construct_geometry_array
 from lonboard.geoarrow.geopandas_interop import geopandas_to_geoarrow
-from lonboard.layer import BaseLayer, PathLayer, ScatterplotLayer, SolidPolygonLayer
+from lonboard.layer import PathLayer, ScatterplotLayer, SolidPolygonLayer
 
 if TYPE_CHECKING:
     import geopandas as gpd
@@ -116,8 +117,9 @@ def viz(
     raise ValueError
 
 
-# TODO: check CRS in geopandas methods
-def _viz_geopandas_geodataframe(data: gpd.GeoDataFrame, **kwargs) -> BaseLayer:
+def _viz_geopandas_geodataframe(
+    data: gpd.GeoDataFrame, **kwargs
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     if data.crs and data.crs not in [EPSG_4326, OGC_84]:
         warnings.warn("GeoDataFrame being reprojected to EPSG:4326")
         data = data.to_crs(OGC_84)
@@ -126,7 +128,9 @@ def _viz_geopandas_geodataframe(data: gpd.GeoDataFrame, **kwargs) -> BaseLayer:
     return _viz_geoarrow_table(table, **kwargs)
 
 
-def _viz_geopandas_geoseries(data: gpd.GeoSeries, **kwargs) -> BaseLayer:
+def _viz_geopandas_geoseries(
+    data: gpd.GeoSeries, **kwargs
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     import geopandas as gpd
 
     if data.crs and data.crs not in [EPSG_4326, OGC_84]:
@@ -140,19 +144,23 @@ def _viz_geopandas_geoseries(data: gpd.GeoSeries, **kwargs) -> BaseLayer:
 
 def _viz_shapely_scalar(
     data: shapely.geometry.base.BaseGeometry, **kwargs
-) -> BaseLayer:
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     return _viz_shapely_array(np.array([data]), **kwargs)
 
 
-def _viz_shapely_array(data: NDArray[np.object_], **kwargs) -> BaseLayer:
+def _viz_shapely_array(
+    data: NDArray[np.object_], **kwargs
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     # TODO: pass include_z?
     field, geom_arr = construct_geometry_array(data)
     schema = pa.schema([field])
     table = pa.Table.from_arrays([geom_arr], schema=schema)
     return _viz_geoarrow_table(table, **kwargs)
 
 
-def _viz_geo_interface(data: dict, **kwargs) -> BaseLayer:
+def _viz_geo_interface(
+    data: dict, **kwargs
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     if data["type"] in [
         "Point",
         "LineString",
@@ -193,21 +201,23 @@ def _viz_geo_interface(data: dict, **kwargs) -> BaseLayer:
     raise ValueError(f"type '{geo_interface_type}' not supported.")
 
 
-def _viz_geoarrow_table(table: pa.Table, **kwargs) -> BaseLayer:
+def _viz_geoarrow_table(
+    table: pa.Table, **kwargs
+) -> Union[ScatterplotLayer, PathLayer, SolidPolygonLayer]:
     geometry_ext_type = table.schema.field("geometry").metadata.get(
         b"ARROW:extension:name"
     )
 
     if geometry_ext_type in [EXTENSION_NAME.POINT, EXTENSION_NAME.MULTIPOINT]:
-        return ScatterplotLayer(table, **kwargs)
+        return ScatterplotLayer(table=table, **kwargs)
 
     elif geometry_ext_type in [
         EXTENSION_NAME.LINESTRING,
         EXTENSION_NAME.MULTILINESTRING,
     ]:
-        return PathLayer(table, **kwargs)
+        return PathLayer(table=table, **kwargs)
 
     elif geometry_ext_type in [EXTENSION_NAME.POLYGON, EXTENSION_NAME.MULTIPOLYGON]:
-        return SolidPolygonLayer(table, **kwargs)
+        return SolidPolygonLayer(table=table, **kwargs)
 
     raise ValueError(f"Unsupported extension type: '{geometry_ext_type}'.")

package.json

@@ -5,7 +5,7 @@
     "@deck.gl/core": "^8.9.30",
     "@deck.gl/layers": "^8.9.30",
     "@deck.gl/react": "^8.9.30",
-    "@geoarrow/deck.gl-layers": "^0.1.0-beta.5",
+    "@geoarrow/deck.gl-layers": "^0.1.0",
     "apache-arrow": "^13.0.0",
     "maplibre-gl": "^3.5.0",
     "parquet-wasm": "0.5.0-alpha.1",

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "lonboard"
-version = "0.1.0-beta.7"
+version = "0.1.0"
 description = "Extremely fast geospatial data visualization in Python."
 authors = ["Kyle Barron <kyle@developmentseed.org>"]
 license = "MIT"