Learning Python data visualization : master how to build dynamic HTML5-ready SVG charts using Python and the pygal library /: master how to build dynamic HTML5-ready SVG charts using Python and the pygal library. (2014)

• Record Type: Book
• Further Information: Note: Chad Adams.
• Authors: Adams, Chad
• Contents: Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Your Development Environment; Introduction; Setting up Python on Windows; Installation; Exploring the Python installation in Windows; Python editors; Setting up Python on Mac OS X; Setting up Python on Ubuntu; Summary; Chapter 2: Python Refresher; Python basics; Importing modules and libraries; Input and output; Generating an image; Creating SVG graphics using svgwrite; For Windows users using VSPT; For Eclipse or other editors on Windows. For Eclipse on Mac and LinuxSummary; Chapter 3: Getting Started with pygal; Why use pygal?; Installing pygal using pip; Installing pygal using Python Tools for Visual Studio; Building a line chart; Stacked line charts; Simple bar charts; Stacked bar charts; Horizontal bar charts; XY charts; Scatter plots; DateY charts; Summary; Chapter 4: Advanced Charts; Pie charts; Stacked pie charts; Radar charts; Box plots; Dot charts; Funnel charts; Gauge charts; Pyramid charts; Worldmap charts; Summary; Chapter 5 : Tweaking pygal; Country charts; Parameters; Legend at the bottom; Legend settings. Label settingsChart title settings; Displaying no data; pygal themes; Summary; Chapter 6: Importing Dynamic Data; Pulling data from the Web; The XML refresher; RSS and the ATOM; Understanding HTTP; Using HTTP in Python; Parsing XML in Python with HTTP; About JSON; Parsing JSON in Python with HTTP; About JSONP; JSONP with Python; Summary; Chapter 7 : Putting ItAll Together; Chart usage for a blog; Getting our data in order; Converting date strings to dates; Using strptime; Saving the output as a counted array; Counting the array; Python modules; Building the main method. Modifying our RSS to return valuesBuilding our chart module; Building a portable configuration for our chart; Setting up our chart for data; Configuring our main function to pass data; Project improvements; Summary; Chapter 8: Further Resources; The matplotlib library; Installing the matplotlib library; matplotlib''s library download page; Creating simple matplotlib charts; Plotly; Pyvot; Summary; Appendix: References and Resources; Links for help and support; Charting libraries; Editors and IDEs for Python; Other libraries and Python alternative shells; Index.
• Publisher Details: Birmingham, England : Packt Publishing
• Publication Date: 2014
• Copyright Date: 2014
• Extent: 1 online resource (212 pages), color illustrations
• Subjects: 005.133; COMPUTERS -- Data Visualization; Python (Computer program language); Command languages (Computer science); Web sites -- Authoring programs; Python (Computer program language); Information visualization; COMPUTERS -- General; Command languages (Computer science); Python (Computer program language); Web sites -- Authoring programs; COMPUTERS -- Programming Languages -- HTML; Electronic books; Electronic books
• Languages: English
• ISBNs: 9781783553341; 1783553340
• Related ISBNs: 1783553332; 9781783553334
• Notes: Note: Online resource; title from PDF title page (ebrary, viewed September 5, 2014).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.