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Julia 1.0 Programming Cookbook

You're reading from   Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Length 460 pages
Edition 1st Edition
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Authors (2):
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Przemysław Szufel Przemysław Szufel
Author Profile Icon Przemysław Szufel
Przemysław Szufel
Bogumił Kamiński Bogumił Kamiński
Author Profile Icon Bogumił Kamiński
Bogumił Kamiński
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Setting Up Julia 2. Data Structures and Algorithms FREE CHAPTER 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 11. Other Books You May Enjoy

Converting data between DataFrame and Matrix


The DataFrames.jl package provides a vast array of procedures that allow you to manipulate tabular data with rows of heterogeneous types. However, you often have your data stored initially in a matrix. In this recipe, we discuss how you can convert such data to DataFrame. We also show how you can perform the reverse procedure, that is, transform the data from DataFrame to a value of a standard Matrix type available in Julia.

Getting ready

Make sure that you have theDataFrames.jlpackage installed. You can check this by writing this in the Julia command line:

julia> using DataFrames

If this command fails, then add theDataFrames.jlpackage, in accordance with the instructions in the Managing packages recipe in Chapter 1, Installing and Setting Up Julia:

julia> using Pkg; Pkg.add("DataFrames")

Note

In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of shell and Julia commands.

Now, open...

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