This tutorial will present you how to visualize different types of data with a set of useful Python libraries
Prerequisites: knowledge of python
This tutorial will present you, by three practical notebooks, how to visualize different types data like:
- points with an example of meteorite landings dataset: Meteorites.ipynb
- polygons with an example of land surface dataset: Land_Surface.ipynb
- meteorological data with an example of ERA5 hourly data. This tutorial includes raster data type : Meteo.ipynb
In each of the notebook, data will be loaded, analysed and displayed in multiple ways.
Different python libraries specific to data visualization will be presented, including:
- GeoPandas to store data like Pandas but with spatial information and operations
- BaseMap and Geoplot, two extensions of matplotlib
- Folium to plot interactive maps
- Cartopy to plot more complex maps
- Seaborn to plot statistical data
The Geodes Tools Getting Started page is complementary to this tutorial, presenting an overview of handful data visualization tools.