lonboard
Python library for fast, interactive geospatial vector data visualization in Jupyter.
3 million points rendered from a geopandas GeoDataFrame in JupyterLab.
Install
pip install lonboard
Get Started
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.
Documentation
Refer to the documentation at developmentseed.org/lonboard.
Why the name?
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.
1 maintainer
Release files for lonboard 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lonboard-0.3.0.tar.gz | 476.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lonboard-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 958.1 kB
Release files / lonboard-0.3.0.tar.gz
| Download URL | lonboard-0.3.0.tar.gz |
|---|---|
| Size | 476.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / lonboard-0.3.0-py3-none-any.whl
| Download URL | lonboard-0.3.0-py3-none-any.whl |
|---|---|
| Size | 482.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
