- Folium — Folium 0. 20. 0 documentation - GitHub Pages
Folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector raster HTML visualizations as markers on the map
- Getting started — Folium 0. 20. 0 documentation - GitHub Pages
Folium also accepts objects from the xyzservices package Adding markers # There are various marker types, here we start with a simple Marker You can add a popup and tooltip You can also pick colors and icons
- API reference — Folium 0. 20. 0 documentation - GitHub Pages
Bases: JSCSSMixin, Evented Create a Map with Folium and Leaflet js Generate a base map of given width and height with either default tilesets or a custom tileset URL Folium has built-in all tilesets available in the xyzservices package For example, you can pass any of the following to the “tiles” keyword:
- Map — Folium 0. 20. 0 documentation - GitHub Pages
import folium min_lon, max_lon = -45, -35 min_lat, max_lat = -25, -15 m = folium Map( max_bounds=True, location=[-20, -40], zoom_start=6, min_lat=min_lat, max_lat=max_lat, min_lon=min_lon, max_lon=max_lon, ) folium CircleMarker([max_lat, min_lon], tooltip="Upper Left Corner") add_to(m) folium CircleMarker([min_lat, min_lon], tooltip="Lower Left
- User guide — Folium 0. 20. 0 documentation - GitHub Pages
The user guide covers different parts of basic usage of Folium Each page focuses on a single topic and outlines how it is implemented in Folium, with reproducible examples
- Folium — Folium 0. 14. 0 documentation - GitHub Pages
folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector raster HTML visualizations as markers on the map
- Tiles — Folium 0. 20. 0 documentation - GitHub Pages
Tiles # Built-in tilesets # [1]: import folium lon, lat = -38 625, -12 875 zoom_start = 8 [2]: folium Map(location=[lat, lon], tiles="OpenStreetMap", zoom_start=zoom_start) [2]: Make this Notebook Trusted to load map: File -> Trust Notebook [3]: folium Map(location=[lat, lon], tiles="Cartodb Positron", zoom_start=zoom_start) [3]: Make this
- Quickstart — Folium 0. 8. 2 documentation - GitHub Pages
folium enables passing any HTML object as a popup, including `bokeh <https: bokeh pydata org en latest >`__ plots, but there is a built-in support for vincent and altair visualizations to any marker type, with the visualization as the popover
|