Real Python
  • Start Here
  • Learn Python
    Start Learning
    Your Learning Plan →Your personalized Python learning plan Python Tutorials →In-depth articles and video courses Learning Paths →Guided study plans for accelerated learning
    Practice
    Quizzes & Exercises →Check your learning progress Browse Topics →Focus on a specific area or skill level Reference →Concise definitions for common Python terms
    Get Help
    Code Mentor →BetaPersonalized code assistance & learning tools Office Hours →Live Q&A calls with Python experts Community Chat →Learn with other Pythonistas
    Go Deeper
    Live Courses →Live, instructor-led Python courses Books →Round out your knowledge and learn offline Podcast →Hear what’s new in the world of Python
    Unlock All Content and Become a Python Expert →Get unlimited access to all Real Python has to offer
    Unlock All Content →Become a Python Expert
  • More
    Learner Stories Python Newsletter Python Job Board Meet the Team Become a Contributor
  • Search
/
  • Join
  • Sign‑In

— FREE Email Series —

🐍 Python Tricks 💌

Python Tricks Dictionary Merge

🔒 No spam. Unsubscribe any time.

Browse Topics Guided Learning Paths
Basics Intermediate Advanced
ai algorithms api best-practices career community databases data-science data-structures data-viz devops django docker editors flask front-end gamedev gui machine-learning news numpy projects python stdlib testing tools web-dev web-scraping

Table of Contents

  • From Data to Visualization
    • Prepare the Data
    • Determine Where the Visualization Will Be Rendered
    • Set up the Figure(s)
    • Connect to and Draw Your Data
    • Organize the Layout
    • Preview and Save Your Beautiful Data Creation
  • Generating Your First Figure
  • Getting Your Figure Ready for Data
  • Drawing Data With Glyphs
  • A Quick Aside About Data
  • Using the ColumnDataSource Object
  • Organizing Multiple Visualizations With Layouts
  • Adding Interaction
    • Configuring the Toolbar
    • Selecting Data Points
    • Adding Hover Actions
    • Linking Axes and Selections
    • Highlighting Data Using the Legend
  • Summary and Next Steps

Recommended Course

Interactive Data Visualization in Python With Bokeh