Python library for extremely fast geospatial vector data visualization in Jupyter.
3 million points rendered from a geopandas GeoDataFrame in JupyterLab.
pip install lonboard
For the simplest rendering, pass geospatial data into the top-level viz function.
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 and examples for more control over rendering.
Refer to the documentation at developmentseed.org/lonboard.
This is a new binding to the deck.gl geospatial data visualization library. A "deck" is the part of a skateboard you ride on. What's a fast, geospatial skateboard? A lonboard.
