Hands-On Data Visualization with Bokeh电子书

Title Page

Copyright and Credits

Hands-On Data Visualization with Bokeh

Dedication

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Contributors

About the author

About the reviewer

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Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Code in action

Conventions used

Get in touch

Reviews

Bokeh Installation and Key Concepts

Technical requirements

The difference between static and interactive plotting

Installing the Bokeh library

Installing Bokeh using a Python distribution

Verifying your installation

When things go wrong

Key concepts and the building blocks of Bokeh

Plot outputs

Summary

Plotting using Glyphs

Technical requirements

What are glyphs?

Plotting with glyphs

Creating line plots

Creating bar plots

Creating patch plots

Creating scatter plots

Customizing glyphs

Summary

Plotting with different Data Structures

Technical requirements

Creating plots using NumPy arrays

Creating line plots using NumPy arrays

Creating scatter plots using NumPy arrays

Creating plots using pandas DataFrames

Creating a time series plot using a pandas DataFrame

Creating scatter plots using a pandas DataFrame

Creating plots with ColumnDataSource

Creating a time series plot using the ColumnDataSource

Creating a scatter plot using the ColumnDataSource

Summary

Using Layouts for Effective Presentation

Technical requirements

Creating multiple plots along the same row

Creating multiple plots in the same column

Creating multiple plots in a row and column

Creating multiple plots using a tabbed layout

Creating a robust grid layout

Linking multiple plots together

Summary

Using Annotations, Widgets, and Visual Attributes for Visual Enhancement

Technical requirements

Creating annotations to convey supplemental information

Adding titles to plots

Adding legends to plots

Adding color maps to plots

Creating widgets to add interactivity to plots

Creating a button widget

Creating the checkbox widget

Creating a drop-down menu widget

Creating the radio button widget

Creating a slider widget

Creating a text input widget

Creating visual attributes to enhance style and interactivity

Attributes that add interactivity to the plot

Creating a hover tooltip

Creating selections

Attributes that enhance the visual style of the plot

Styling the title

Styling the background

Styling the outline of the plot

Styling the labels

Summary

Building and Hosting Applications Using the Bokeh Server

Technical requirements

Introduction to the Bokeh Server

Building a Bokeh application

Creating a single slider application

Creating a multi-slider application

Combining the slider application with a scatter plot

Combining the slider application with a line plot

Creating an application with the select widget

Creating an application with the button widget

Creating an application to select different columns

Introduction to deploying the Bokeh application

Summary

Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots

Technical requirements

Using Bokeh to visualize networks

Visualizing networks with straight paths

Visualizing networks with explicit paths

Visualizing geographic data with Bokeh

Using WebGL to improve performance

Exporting plots as PNG images

Summary

The Bokeh Workflow – A Case Study

Technical requirements

Asking the right question

The exploratory data analysis

Creating an insightful visualization

Creating the base plot

Mapping tech stocks

Adding a hover tool

Improving performance using WebGL

Presenting your results

Summary

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