Python World Map Visualization
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Python World Map Visualization
Read the data to a pandas dataframe. As mentioned above, we will need pandas for data analysis and bokeh for visualization. Folium is a wrapper around leaflet.js which makes beautiful interactive maps that you can view in any browser.
It’s fascinating to look at the whole world map and see the amazing regions that include oceans mountain ranges, continents as well as countries.if you’re into world maps or even geography, the map that is. Some of the key features of cartopy are: Prerequisites for python geographic maps and graph data.
Plotting countries based on data.
Worldmap = pygal.maps.world.world () now you can plot the graph of the countries by using their country code. We’ll use pip to install it; It will let you process geospatial data, analyze it, and produce maps. Cartopy makes use of the powerful proj.4, numpy and shapely libraries and has a simple and intuitive drawing interface to matplotlib for creating publication quality maps.
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