home / content / pypi_packages

pypi_packages: datasette-geojson-map

This data as json

name summary classifiers description author author_email description_content_type home_page keywords license maintainer maintainer_email package_url platform project_url project_urls release_url requires_dist requires_python version yanked yanked_reason
datasette-geojson-map Render a map for any query with a geometry column [] # datasette-geojson-map [![PyPI](https://img.shields.io/pypi/v/datasette-geojson-map.svg)](https://pypi.org/project/datasette-geojson-map/) [![Changelog](https://img.shields.io/github/v/release/eyeseast/datasette-geojson-map?include_prereleases&label=changelog)](https://github.com/eyeseast/datasette-geojson-map/releases) [![Tests](https://github.com/eyeseast/datasette-geojson-map/workflows/Test/badge.svg)](https://github.com/eyeseast/datasette-geojson-map/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/eyeseast/datasette-geojson-map/blob/main/LICENSE) Render a map for any query with a geometry column ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-geojson-map ## Usage Start by loading a GIS file. For example, you might use [geojson-to-sqlite](https://pypi.org/project/geojson-to-sqlite/) or [shapefile-to-sqlite](https://pypi.org/project/shapefile-to-sqlite/) to load [neighborhood boundaries](https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore) into a SQLite database. ```sh wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson ``` (The command above uses Spatialite, but that's not required.) Start up `datasette` and navigate to the `neighborhoods` table. ```sh datasette serve boston.db # in another terminal tab open http://localhost:8001/boston/neighborhoods ``` You should see a map centered on Boston with each neighborhood outlined. Clicking a boundary will bring up a popup with details on that feature. ![Boston neighbhorhoods map](img/boston-neighborhoods-map.png) This plugin relies on (and will install) [datasette-geojson](https://github.com/eyeseast/datasette-geojson). Any query that includes a `geometry` column will produce a map of the results. This also includes single row views. Run the included `demo` project to see it live. ## Configuration This project uses the same map configuration as [datasette-cluster-map](https://github.com/simonw/datasette-cluster-map). Here's how you would use [Stamen's terrain tiles](http://maps.stamen.com/terrain/#12/37.7706/-122.3782): ```yaml plugins: datasette-geojson-map: tile_layer: https://stamen-tiles-{s}.a.ssl.fastly.net/terrain/{z}/{x}/{y}.{ext} tile_layer_options: attribution: >- Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>. subdomains: abcd minZoom: 1 maxZoom: 16 ext: jpg ``` Options: - `tile_layer`: Use a URL template that can be passed to a [Leaflet Tilelayer](https://leafletjs.com/reference-1.7.1.html#tilelayer) - `tile_layer_options`: All options will be passed to the tile layer. See [Leaflet documentation](https://leafletjs.com/reference-1.7.1.html#tilelayer) for more on possible values here. ## Styling map features Map features can be styled using the [simplestyle-spec](https://github.com/mapbox/simplestyle-spec). This requires setting specific fields on returned rows. Here's an example: ```sql SELECT Name, geometry, "#ff0000" as fill, "#0000ff" as stroke, 0.2 as stroke-width, from neighborhoods ``` That will render a neighborhood map where each polygon is filled in red, outlined in blue and lines are 0.2 pixels wide. A more useful approach would use the `CASE` statement to color features based on data: ```sql SELECT Name, geometry, CASE Name WHEN "Roslindale" THEN "#ff0000" WHEN "Dorchester" THEN "#0000ff" ELSE "#dddddd" END fill FROM neighborhoods ``` This will fill Roslindale in red, Dorchester in blue and all other neighborhoods in gray. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-geojson-map python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and test dependencies: pip install -e '.[test]' To run the tests: pytest Chris Amico   text/markdown https://github.com/eyeseast/datasette-geojson-map   Apache License, Version 2.0     https://pypi.org/project/datasette-geojson-map/   https://pypi.org/project/datasette-geojson-map/ {"CI": "https://github.com/eyeseast/datasette-geojson-map/actions", "Changelog": "https://github.com/eyeseast/datasette-geojson-map/releases", "Homepage": "https://github.com/eyeseast/datasette-geojson-map", "Issues": "https://github.com/eyeseast/datasette-geojson-map/issues"} https://pypi.org/project/datasette-geojson-map/0.4.0/ ["datasette", "datasette-geojson", "datasette-leaflet", "pytest ; extra == 'test'", "pytest-asyncio ; extra == 'test'", "geojson-to-sqlite ; extra == 'test'"] >=3.6 0.4.0 0  

Links from other tables

  • 6 rows from package in pypi_versions
  • 12 rows from package in pypi_releases
Powered by Datasette · Queries took 1.118ms