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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 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 1. Other Books You May Enjoy Index

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 1Installing 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.

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