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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Basic plots

In this chapter, we will be focusing on creating some of the very simple and easily used graphs and plots. The library of choice which we will be using to create such plots will be PyPlot, which is based on Python's matplotlib.pyplot module.

The installation of the library is easy if you have matplotlib already installed on your system. If not, you need to install it manually by running the following command:

python -m pip install matplotlib

Once this is done, we will open the Julia REPL and run Pkg.add("PyPlot").

PyPlot is a large and rich library. Here is a very simple example of a line plot:

Let's explain how this works quickly:

  • We have an x-coordinate, which is simply a range of numbers from 1 to 100 as given in the code. The label for this axis has been set to X using the function xlabel.
  • Similarly...
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