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Python Data Visualization Cookbook (Second Edition)
book

Python Data Visualization Cookbook (Second Edition)

by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
November 2015
Beginner to intermediate
302 pages
6h 17m
English
Packt Publishing
Content preview from Python Data Visualization Cookbook (Second Edition)

Drawing scatter plots with colored markers

If you have two variables and want to spot the correlation between those, a scatter plot may be the solution to spot patterns.

This type of plot is also very usable as a start for more advanced visualization of multidimensional data (for example, to plot a scatter plot matrix).

Getting ready

Scatter plots display values for two sets of data. The data visualization is done as a collection of points not connected by lines. Each of them has its coordinates determined by the value of the variables. One variable is controlled (independent variable), while the other variable is measured (dependent variable) and is often plotted on the y axis.

How to do it...

Here's a code sample that plots two plots: one with uncorrelated ...

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Publisher Resources

ISBN: 9781784396695