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Napoleon-Christos Oikonomou has completed

Introduction to Data Visualization with Bokeh

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4 hours
5,100 XP
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Course Description

Bokeh is an interactive data visualization library for Python—and other languages—that targets modern web browsers for presentation. It can create versatile, data-driven graphics and connect the full power of the entire Python data science stack to create rich, interactive visualizations.
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  1. 1

    Basic plotting with Bokeh

    Free

    This chapter provides an introduction to basic plotting with Bokeh. You will create your first plots, learn about different data formats Bokeh understands, and make visual customizations for selections and mouse hovering.

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    Plotting with glyphs
    50 xp
    What are glyphs?
    50 xp
    A simple scatter plot
    100 xp
    A scatter plot with different shapes
    100 xp
    Customizing your scatter plots
    100 xp
    Additional glyphs
    50 xp
    Lines
    100 xp
    Lines and markers
    100 xp
    Patches
    100 xp
    Data formats
    50 xp
    Plotting data from NumPy arrays
    100 xp
    Plotting data from Pandas DataFrames
    100 xp
    The Bokeh ColumnDataSource
    50 xp
    The Bokeh ColumnDataSource (continued)
    100 xp
    Customizing glyphs
    50 xp
    Selection and non-selection glyphs
    100 xp
    Hover glyphs
    100 xp
    Colormapping
    100 xp
  2. 3

    Building interactive apps with Bokeh

    Bokeh server applications allow you to connect all of the powerful Python libraries for data science and analytics, such as NumPy and pandas to create rich, interactive Bokeh visualizations. Learn about Bokeh's built-in widgets, how to add them to Bokeh documents alongside plots, and how to connect everything to real Python code using the Bokeh server.

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