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Python Data Visualization Cookbook - Second Edition by Giuseppe Vettigli, Dimitry Foures, Igor Milovanović

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Using colormaps

Color coding the data can have great impact on how your visualizations are perceived by the viewer, as they come with assumptions about color and what that color represents.

Being explicit if the color is used to add additional information to the data is always good. To know when and how to use color in your visualizations is even better.

Getting ready

If your data is not naturally color coded (such as earth/terrain altitudes or object temperature), it's better not to make any artificial mappings to natural coloring. We want to understand the data appropriately and make a choice of color to help the reader decode data easily. We don't want readers constantly trying to suppress learned mapping of color for temperatures, if we are representing ...

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