Data Visualization with Python by Tim Grobmann & Mario Dobler

Author:Tim Grobmann & Mario Dobler [Tim Grobmann]
Language: eng
Format: epub
Publisher: Packt Publishing
Published: 2019-02-27T16:00:00+00:00

Figure 5.12: Map with outlines of the states plotted

To assign a color that represents the obesity of each state, we have to provide the color parameter to the geojson method. We can provide different types depending on the use case. Rather than assigning a single value to each state, we want the darkness to represent the percentage of obese people. To do this, we have to provide a method for the color property. Our method simply maps the Obesity attribute to a ColorMap class object with enough levels to allow good distinction:# converting the obesity into a color

cmap = ColorMap('Reds', alpha=255, levels=40)

def get_color(properties):

return cmap.to_color(properties['Obesity'], maxvalue=40,scale='lin')

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