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  • Folium — Folium 0. 20. 0 documentation - GitHub Pages
    Folium # Python data, leaflet js maps # Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet js library Manipulate your data in Python, then visualize it in a Leaflet map via Folium Concepts # 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
  • User guide — Folium 0. 20. 0 documentation - GitHub Pages
    User guide # 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 If you don’t know anything about Folium, start with the Getting started Advanced topics can be found in the Advanced Guide and further specification in the API Reference
  • Map — Folium 0. 20. 0 documentation - GitHub Pages
    Map # Scale # Show a scale on the bottom of the map
  • API reference — Folium 0. 20. 0 documentation - GitHub Pages
    popup (string or folium Popup, default None) – Label for the Marker; either an escaped HTML string to initialize folium Popup or a folium Popup instance tooltip (str or folium Tooltip, default None) – Display a text when hovering over the object icon (Icon, CustomIcon or DivIcon, optional) – the Icon plugin to use to render the marker
  • Quickstart — Folium 0. 8. 2 documentation
    The default tiles are set to OpenStreetMap, but Stamen Terrain, Stamen Toner, Mapbox Bright, and Mapbox Control Room, and many others tiles are built in
  • Advanced guide — Folium 0. 20. 0 documentation - GitHub Pages
    Advanced guide # Using folium with flask Integrating Jenks Natural Break Optimization with choropleth Subplots Using colormaps Scrolling beyond the world edge Panes and CustomPane Geodedetic image overlay Custom tiles Piechart icons Creating a polygon from a list of points Customizing javascript or css resources Overriding Leaflet class methods
  • Tiles — Folium 0. 20. 0 documentation - GitHub Pages
    import folium lon, lat = -38 625, -12 875 zoom_start = 8
  • ImageOverlay — Folium 0. 20. 0 documentation - GitHub Pages
    Now, let’s try to add a line at latitude 45°, and add a polyline to verify it’s well rendered We’ll need to specify origin='lower to inform folium that the first lines of the array are to be plotted at the bottom of the image (see numpy imshow, it’s the same principle)
  • Using colormaps — Folium 0. 20. 0 documentation - GitHub Pages
    A few examples of how to use folium colormap in choropleths Let’s load a GeoJSON file, and try to choropleth it





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