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Matplotlib for Python: Visually Represent Data with Plots

Using Color Bars to Improve Data Readability

Explore how to use color bars in Matplotlib to improve the readability of continuous data. Understand how to create colorbars, choose colormaps, and apply normalization to map data values to colors effectively.

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What is the colorbar?

While legend helps us identify the different elements of a chart, the feature only works for discrete data. If the data is continuous, how could we display it on the legend? colorbar can help us. The colorbar maps the values of an interval to the colors of a range. The user can then distinguish the approximate range of the data by color. colorbar is a very useful and beautiful feature.

The simplest way to draw a color bar is by calling colorbar().

Notice: In this lesson, the colorbar() is called from the figure object. Let’s see some of the parameters required by colorbar.

  • mappable: The matplotlib.cm.ScalarMappable described by the colorbar.
  • cax: The axes object
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