Cargando…
Learning Python data visualization : master how to build dynamic HTML5-ready SVG charts using Python and the pygal library /
If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing,
2014.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.