Скачать или смотреть Tutorial: Folium notebook & visualisation of COVID-19 Data in Noteable

This video provides an introductory tutorial to Folium.

Folium makes it easy to visualise data that has been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualisations as well as passing rich vector/raster/HTML visualisations as markers on the map. The library has several built-in tilesets from OpenStreetMap, but Stamen and Mapbox support custom tilesets with Mapbox or Cloudmade API keys. It supports both Image, Video, GeoJSON and TopoJSON overlays. It also has several plugins that enable interactive tools for the maps.

This notebook is split into two sections to illustrate the two main uses of Folium. The first section showcases how-to plot markers, polylines and other vector/raster/HTML visualisations on a base map. The second half of the notebook is a tutorial on creating a global choropleth map of the confirmed cases of Covid-19 for each country. There is a step-by-step guide to access, process and clean up the data before plotting it. The video runs a user through the optimal way of visualising the data, starting with a linear segmented colormap, then a logarithmic colormap and a logarithmic colormap with hover tools showing the absolute values for each country.

Developed by EDINA at the University of Edinburgh, Noteable hosts your computational notebooks in one simple online hub. It’s built from the powerful Project Jupyter and can integrate with your VLE.
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#Noteable #Programming #Folium #Coding #Python
Credits: This video was developed by the Noteable team and is narrated by Dora Hegedus, a Student Coding Intern, in the summer of 2020.