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Applying Math with Python

You're reading from  Applying Math with Python

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Pages 358 pages
Edition 1st Edition
Languages
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley
Toc

Table of Contents (12) Chapters close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Creating interactive plots with Bokeh

Test statistics and numerical reasoning are good for systematically analyzing sets of data. However, they don't really give us a good picture of the whole set of data like a plot would. Numerical values are definitive but can be difficult to understand, especially in statistics, whereas a plot instantly illustrates differences between sets of data and trends. For this reason, there is a large number of libraries for plotting data in ever more creative ways. One particularly interesting package for producing plots of data is Bokeh, which allows us to create interactive plots in the browser by leveraging JavaScript libraries.

In this recipe, we will see how to use Bokeh to create an interactive plot that can be displayed in the browser.

Getting ready

For this recipe, we will need the pandas package imported as pd, the NumPy package imported as np, an instance of the default random number generator constructed with...

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