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Python Data Visualization Cookbook (Second Edition)

You're reading from   Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly Index

Adding a data table to the figure


Although matplotlib is mainly a plotting library, it helps us with small errands when we are creating a chart, such as having a neat data table beside our beautiful chart. In this recipe, you will be learning how to display a data table alongside the plots in the figure.

Getting ready

It is important to understand why we are adding a table to a chart. The main intention of plotting data visually is to explain the otherwise not understandable (or hardly understandable) data values. Now, we want to add that data back. It is not wise just to cram a big table with values underneath the chart.

But, carefully picked, maybe the summed or highlighted values from the whole, a charted dataset can identify important parts of the chart or emphasize the important values for those places where the exact value (for example, yearly sales in USD) is important (or even required).

How to do it...

Here's the code to add a sample table to our figure:

import matplotlib.pyplot as plt...
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