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Python Data Visualization Cookbook

You're reading from   Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
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Table of Contents (15) Chapters Close

Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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 Right Plots to Understand Data 8. More on matplotlib Gems Index

Creating 3D histograms


Similar to 3D bars, we might want to create 3D histograms. They are used to easily spot correlation between three independent variables. They can be used to extract information from images where the third dimension could be the intensity of a channel in (x,y) space of the image under analysis.

In this recipe, we will learn how to create 3D histograms.

Getting ready

To recall, a histogram represents a number of occurrences of some value in a particular column (usually called "bin"). The three-dimensional histogram, then, represents a number of occurrences in a grid. This grid is rectangular, over two variables that are data in the two columns.

How to do it...

For this computation, we will:

  1. Use NumPy because it has the function to compute a histogram of two variables.

  2. Generate x and y from normal distributions but with different parameters to be able to distinct the correlation in the resulting histogram.

  3. Plot the scatter plot of the same dataset to demonstrate how different...

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