gmaprium 0.1.0

Folium-style Python helpers for rendering Google Maps.

gmaprium

Folium-style Python helpers for rendering Google Maps HTML.

gmaprium can be used to create standalone HTML maps, display maps in Jupyter Notebook, add Google tile layers to existing Folium maps, and embed maps in Streamlit apps.

Installation

pip install gmaprium

Usage

from gmaprium import GeoJson, HeatMap, LayerControl, Map, Marker, Polygon

m = Map(
    location=[35.6812, 139.7671],
    zoom_start=12,
    api_key="YOUR_GOOGLE_MAPS_API_KEY",
    map_type="roadmap",
    height="500px",
)

Marker([35.6812, 139.7671], popup="Tokyo Station", tooltip="Tokyo", name="Stations").add_to(m)
Polygon(
    [[35.70, 139.70], [35.70, 139.82], [35.62, 139.82], [35.62, 139.70]],
    name="Area",
).add_to(m)
HeatMap([[35.6812, 139.7671, 2], [35.6895, 139.6917, 1]], name="Heat").add_to(m)
LayerControl().add_to(m)

# Full HTML document.
m.save("map.html")

# Embeddable HTML fragment for web apps.
html = m.render_fragment()

You can also pass the API key with the GOOGLE_MAPS_API_KEY environment variable.

Markers use Google's AdvancedMarkerElement. If you add markers without passing map_id=..., the renderer uses Google's DEMO_MAP_ID for local testing.

Supported Elements

• Map
• Marker
• Polyline
• Polygon
• Circle
• GeoJson
• HeatMap
• LayerControl

GeoJson accepts GeoJSON dictionaries, JSON file paths, objects with __geo_interface__, and GeoPandas-like objects with to_json().

HeatMap uses a canvas overlay instead of Google's deprecated JavaScript HeatmapLayer. It ports the Leaflet.heat/simpleheat rendering model, including radius, blur, min_opacity, max_zoom, max_value, and gradient. The defaults match Leaflet.heat/simpleheat on a typical OSM map: radius=25, blur=15, min_opacity=0.05, max_zoom=18, max_value=1.0, and the blue-cyan-lime-yellow-red gradient. Lower zoom levels are intentionally faded by Leaflet.heat's max_zoom - zoom intensity scale. Set max_zoom closer to your initial zoom if the heat fades too quickly.

The legacy google_tiles_url() and add_google_tiles() helpers are still available for projects that want to add Google tile URLs to an existing Folium map.

Notebook

In Jupyter Notebook, display the map by returning the Map object as the last expression in a cell.

import os

from gmaprium import HeatMap, LayerControl, Map, Marker

os.environ["GOOGLE_MAPS_API_KEY"] = "your-api-key"

m = Map(location=[35.6812, 139.7671], zoom_start=12, height="500px")
Marker([35.6812, 139.7671], popup="Tokyo Station", name="Markers").add_to(m)
HeatMap([[35.6812, 139.7671, 1.0]], name="Heat", max_zoom=14).add_to(m)
LayerControl().add_to(m)

m

You can also display explicitly:

from IPython.display import HTML, display

display(HTML(m.render_fragment()))

The notebook example is available at examples/example.ipynb.

Folium Extension

If you already use Folium, add Google tile layers to a folium.Map with add_google_tiles().

import folium

from gmaprium import add_google_tiles

m = folium.Map(location=[35.6812, 139.7671], zoom_start=12, tiles=None)
add_google_tiles(m, api_key="your-api-key", map_type="roadmap", name="Google Roadmap")
add_google_tiles(m, api_key="your-api-key", map_type="satellite", name="Google Satellite", show=False)

folium.LayerControl().add_to(m)
m.save("folium_google_tiles.html")

This Folium extension only adds Google tile layers. It does not enable the Google Maps JavaScript API renderer or gmaprium's HeatMap.

The Folium example is available at examples/folium_extension.py.

Streamlit

Use st_google_map() to render a gmaprium.Map inside a Streamlit app.

import os

import streamlit as st

from gmaprium import Map, Marker, st_google_map

api_key = os.environ["GOOGLE_MAPS_API_KEY"]

m = Map(location=[35.6812, 139.7671], zoom_start=12, api_key=api_key, height="600px")
Marker([35.6812, 139.7671], popup="Tokyo Station").add_to(m)

st_google_map(m)

Install the optional dependency and run the example app:

python -m pip install -e ".[dev,streamlit]"
export GOOGLE_MAPS_API_KEY="your-api-key"
streamlit run examples/streamlit_app.py

The Streamlit example is available at examples/streamlit_app.py.

Development

python -m pip install -e ".[dev]"
pytest