Bokeh 0.9.3
  • Gallery
  • Site
    • Quickstart
      • Introduction
      • Quick Installation
      • Getting Started
      • Jupyter Notebooks
      • Other Languages
      • Sample Data
      • Concepts
        • Plot
        • Glyphs
        • Guides and Annotations
        • Ranges
        • Resources
      • More examples
        • Vectorized colors and sizes
        • Linked panning and brushing
        • Datetime axes
      • Bokeh Plot Server
      • What’s next?
    • Installation
      • Dependencies
      • Package Installs
      • Sample Data
      • Notes for Windows Users
      • Installing from Source
      • Developer Builds
      • BokehJS Standalone
    • Gallery
      • Crossfilter Example
      • Sliders Example
      • Stocks Example
      • Server Examples
      • Static Examples
    • User Guide
      • Getting Set Up
        • Installing the Bokeh Library
        • Verifying your installation
        • Finding Help
      • Defining Key Concepts
        • Glossary
        • Interfaces
      • Plotting with Basic Glyphs
        • Creating Figures
        • Combining Multiple Glyphs
        • Setting Ranges
        • Specifying Axis Types
        • Adding Annotations
      • Using High-level Charts
        • Generic Arguments
        • Creating Charts
      • Leveraging Other Libraries
        • Overview
        • Matplotlib
        • Pandas
        • Seaborn
        • ggplot.py
      • Styling Visual Attributes
        • Using Palettes
        • Visual Properties
        • Selecting Plot Objects
        • Plots
        • Glyphs
        • Axes
        • Grids
        • Legends
      • Configuring Plot Tools
        • Positioning the Toolbar
        • Specifying Tools
        • Setting Tool Visuals
        • Controlling Level of Detail
      • Laying Out Multiple Plots
        • Vertical Layout
        • Horizontal Layout
        • Grid Layout
        • Form Layout
      • Working in the Notebook
        • Displaying Inline Plots
        • Connecting to Bokeh Server Plots
        • Integrating IPython Interactors
      • Adding Interactions
        • Linking Plots
        • Adding Widgets
        • Defining Callbacks
      • Deploying the Bokeh Server
        • Overview
        • Concepts
        • Running the Example Server
        • Storing plots on the server
        • Authenticating Users
        • Publishing to the Server
        • Streaming Data with the Server
        • Downsampling with Server
        • Reacting to User Interactions
        • Building Bokeh Applications
        • Deploying for Production
      • Embedding Bokeh Plots
        • Standalone HTML
        • Components
        • IPython Notebook
        • Autoloading
      • Learning More
    • Tutorials
    • Developer Guide
      • Software Process
      • Building and Installing
        • Cloning the Repository
        • Building BokehJS
        • Python Setup
        • Incremental Compilation
      • Documentation
        • Requirements
        • Building
        • Conventions
      • Testing
      • Bokeh Objects
        • Low-level Object Interface
        • Models and properties
      • BokehJS
        • BokehJS Motivations
        • Goals
        • Interface
        • Dependencies
        • Examples
      • Language Bindings
        • Resources for Authors
        • Known Bindings
      • Notes
        • Environment Variables
        • CSS class names
        • Managing examples
        • Choosing right types
        • Managing Python modules
        • Managing external JS libraries
        • Maintaining secure variables in .travis.yml
        • Browser caching
        • BokehJS AMD module template for a model
      • Bokeh Server Architecture
        • Data Model
        • Copy on Write
        • Anonymous Users
    • Contributing
      • Core Team
    • Frequently Asked Questions
      • General Questions
        • How do you pronounce “bokeh”?
        • Why did you start writing a new plotting library?
        • Can I incorporate Bokeh into my proprietary app or platform?
        • What is the relationship between Bokeh and Chaco?
        • How does Bokeh compare to mpld3?
        • Does Bokeh implement R’s ggplot2?
      • Technical Questions
        • Does Bokeh use D3.js?
        • Why not use something like Vega?
        • How do I get the sample data?
      • Troubleshooting
        • Are the tools not working in Chrome/Cromium?
    • Release Notes and Roadmap
      • Release Notes
        • 0.9.3 (Aug 2015)
        • 0.9.2 (Jul 2015)
        • 0.9.1 (Jul 2015)
        • 0.9.0 (May 2015)
        • 0.8.2 (Mar 2015)
        • 0.8.1 (Feb 2015)
        • 0.8.0 (Feb 2015)
        • 0.7.1 (Jan 2015)
        • 0.7.0 (Dec 2014)
        • 0.6.1 (Sep 2014)
        • 0.6.0 (Sep 2014)
        • 0.5.2 (Aug 2014)
        • 0.5.1 (Jul 2014)
        • 0.5.0 (Jul 2014)
        • 0.4.4 (Apr 2014)
        • 0.4.2 (Mar 2014)
        • 0.4.1 (Feb 2014)
        • 0.4.0 (Feb 2014)
        • 0.3.0 (Nov 2013)
        • 0.2.0 (Oct 2013)
        • 0.1.0 (Apr 2013)
      • Roadmap
        • Long-term TODO List
    • Reference Guide
      • Properties System
        • bokeh.properties
        • bokeh.mixins
      • bokeh.models Interface
        • bokeh.models.annotations
        • bokeh.models.axes
        • bokeh.models.callbacks
        • bokeh.models.formatters
        • bokeh.models.glyphs
        • bokeh.models.grids
        • bokeh.models.map_plots
        • bokeh.models.mappers
        • bokeh.models.markers
        • bokeh.models.plots
        • bokeh.models.ranges
        • bokeh.models.renderers
        • bokeh.models.sources
        • bokeh.models.tickers
        • bokeh.models.tools
        • bokeh.models.widget
        • bokeh.models.widgets.buttons
        • bokeh.models.widgets.dialogs
        • bokeh.models.widgets.groups
        • bokeh.models.widgets.icons
        • bokeh.models.widgets.inputs
        • bokeh.models.widgets.layouts
        • bokeh.models.widgets.markups
        • bokeh.models.widgets.panels
        • bokeh.models.widgets.tables
      • bokeh.validation Package
        • bokeh.validation.errors
        • bokeh.validation.warnings
        • bokeh.validation.decorators
        • bokeh.validation.exceptions
      • bokeh.plotting Interface
      • bokeh.charts Interface
        • Chart Functions
        • Helper Classes
        • Builders
      • Standard Palettes
      • Resources and Embedding
        • bokeh.state
        • bokeh.io
        • bokeh.resources
        • bokeh.embed
        • bokeh.templates
      • Plot Objects
        • bokeh
        • bokeh.document
        • bokeh.session
      • Bokeh Server REST API
      • BokehJS Interface Reference
        • Data Sources
        • Line Properties
        • Fill Properties
        • Text Properties
        • Markers
        • Glyphs
      • Sphinx Extensions
        • bokeh_autodoc
        • bokeh_gallery
        • bokeh_github
        • bokeh_model
        • bokeh_palette
        • bokeh_plot
        • bokeh_prop
        • collapsible_code_block
  • Page
    • Developer Guide
  • Quickstart
  • Installation
  • Gallery
  • User Guide
  • Tutorials
  • Developer Guide
    • Software Process
    • Building and Installing
    • Documentation
    • Testing
    • Bokeh Objects
    • BokehJS
    • Language Bindings
    • Notes
    • Bokeh Server Architecture
  • Contributing
  • Frequently Asked Questions
  • Release Notes and Roadmap
  • Reference Guide
Source

Developer Guide¶

  • Software Process
  • Building and Installing
    • Cloning the Repository
    • Building BokehJS
    • Python Setup
    • Incremental Compilation
  • Documentation
    • Requirements
    • Building
    • Conventions
  • Testing
  • Bokeh Objects
    • Low-level Object Interface
    • Models and properties
  • BokehJS
    • BokehJS Motivations
    • Goals
    • Interface
    • Dependencies
    • Examples
  • Language Bindings
    • Resources for Authors
    • Known Bindings
  • Notes
    • Environment Variables
    • CSS class names
    • Managing examples
    • Choosing right types
    • Managing Python modules
    • Managing external JS libraries
    • Maintaining secure variables in .travis.yml
    • Browser caching
    • BokehJS AMD module template for a model
  • Bokeh Server Architecture
    • Data Model
    • Copy on Write
    • Anonymous Users

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