Python Data Visualization Cookbook
By Igor Milovanovic
Publisher: Packt Publishing
Final Release Date: November 2013
Pages: 280

In Detail

Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.

Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.

Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.

This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.

Approach

This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.

Who this book is for

Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.

You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need maths for this book, every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.

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oreillyPython Data Visualization Cookbook
 
4.0

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5.0

Great resource for graphing in python

By Dave

from Palmy New Zealand

About Me Educator

Verified Buyer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Expert
    • Intermediate
    • Novice
    • Student

    Comments about oreilly Python Data Visualization Cookbook:

    I've been using matplotlib for a couple of years off and on for my plotting, but each time I would fumble through until I stumbled on the right way of doing it. Now I've read this book I feel so much more comfortable setting out and modifying my plots to make them look exactly the way that I want.

    The code clearly displays the concepts and the text nicely extends examples and explains more advanced concepts. I had a lot of fun just going through and trying all the examples, I can't ask much more than that. Finally, its a really well written and the pace and structure of the book is right on the money for me.

    (1 of 1 customers found this review helpful)

     
    2.0

    Disappointing

    By dangyogi

    from Clearwater, FL

    About Me Developer

    Verified Buyer

    Pros

      Cons

      • Not comprehensive enough
      • Too basic

      Best Uses

      • Novice

      Comments about oreilly Python Data Visualization Cookbook:

      This book is just an introduction to the Python matplotlib graphing library. It steps through the basics with simple examples, but does not bring anything new to the table. The book could have been written by anybody after spending 2 to 4 days with matplotlib.

       
      5.0

      Very Helpful

      By Lloyd

      from Melbourne, Florida

      About Me Designer, Developer

      Verified Buyer

      Pros

      • Accurate
      • Concise
      • Easy to understand
      • Helpful examples
      • Well-written

      Cons

        Best Uses

        • Expert
        • Intermediate

        Comments about oreilly Python Data Visualization Cookbook:

        I am learning to use python to analyze some custom data sets both near-real time and offline.

        So far I was able to easily plot some data using examples found in this book.

        I haven't really dug in deep yet though.

        Lloyd Holt

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