Index

A

• annotations
  • creation, for conveying supplemental information / Creating annotations to convey supplemental information

B

• bar plot
  • about / Plotting with glyphs
  • creating / Creating bar plots
• base plot
  • creating / Creating the base plot
• Bokeh
  • library, installing / Installing the Bokeh library
  • installing, with Python distribution / Installing Bokeh using a Python distribution
  • installation, verifying / Verifying your installation
  • building blocks / Key concepts and the building blocks of Bokeh
  • application / Key concepts and the building blocks of Bokeh
  • glyphs / Key concepts and the building blocks of Bokeh
  • server / Key concepts and the building blocks of Bokeh
  • widget / Key concepts and the building blocks of Bokeh
  • plot outputs / Plot outputs
  • used, for visualizing networks / Using Bokeh to visualize networks
  • geographic data, visualizing / Visualizing geographic data with Bokeh
• Bokeh application
  • building / Building a Bokeh application
  • single slider application, creating / Creating a single slider application
  • multi-slider application, creating / Creating a multi-slider application
  • slider application, combining with scatter plot / Combining the slider application with a scatter plot
  • slider application, combining with line plot / Combining the slider application with a line plot
  • creating, with select widget / Creating an application with the select widget
  • creating, with button widget / Creating an application with the button widget
  • creation, for selecting columns / Creating an application to select different columns
  • deploying / Introduction to deploying the Bokeh application
• Bokeh Server / Introduction to the Bokeh Server
• button widget
  • creating / Creating a button widget
  • application, creating / Creating an application with the button widget

C

• checkbox widget
  • creating / Creating the checkbox widget
• ColumnDataSource
  • plots, creating / Creating plots with ColumnDataSource 
  • used, for creating time series plot / Creating a time series plot using the ColumnDataSource
  • used, for creating scatter plot / Creating a scatter plot using the ColumnDataSource

D

• data analysis / The exploratory data analysis 
• data visualization
  • queries / Asking the right question
  • results / Presenting your results
• dropdown menu widget
  • creating / Creating a drop-down menu widget

G

• geographic data
  • visualizing, with Bokeh / Visualizing geographic data with Bokeh
• glyphs
  • about / What are glyphs?
  • plotting with / Plotting with glyphs
  • line plot, creating / Creating line plots
  • bar plots, creating / Creating bar plots
  • patch plots, creating / Creating patch plots
  • scatter plots, creating / Creating scatter plots
  • customizing / Customizing glyphs

H

• hover tool
  • adding / Adding a hover tool
• hover tooltip
  • creating / Creating a hover tooltip

I

• insightful visualization
  • creating / Creating an insightful visualization
  • base plot, creating / Creating the base plot
  • tech stocks, mapping / Mapping tech stocks
  • hover tool, adding / Adding a hover tool
  • performance, improving with WebGL / Improving performance using WebGL
• interactive plotting
  • versus static plotting / The difference between static and interactive plotting

K

• Kaggle
  • URL / Conventions used, Creating multiple plots along the same row
• Kaggle S and P 500 Data
  • URL / Creating plots using pandas DataFrames

L

• line / What are glyphs?
• line plot
  • about / Plotting with glyphs
  • creating / Creating line plots
  • creating, with NumPy arrays / Creating line plots using NumPy arrays
  • slider application, combining / Combining the slider application with a line plot

M

• multi-slider application
  • creating / Creating a multi-slider application
• multiple plots
  • creating, along same row / Creating multiple plots along the same row
  • creating, in same column / Creating multiple plots in the same column
  • creating, in row and column / Creating multiple plots in a row and column
  • creating, with tabbed layout / Creating multiple plots using a tabbed layout
  • linking / Linking multiple plots together

N

• networks
  • visualizing, with Bokeh / Using Bokeh to visualize networks
  • visualizing, with straight paths / Visualizing networks with straight paths
  • visualizing, with explicit paths / Visualizing networks with explicit paths
• NumPy arrays
  • used, for creating plots / Creating plots using NumPy arrays 
  • used, for creating line plot / Creating line plots using NumPy arrays
  • used, for creating scatter plot / Creating scatter plots using NumPy arrays

P

• pandas DataFrames
  • used, for creating plots / Creating plots using pandas DataFrames
  • used, for creating time series plot / Creating a time series plot using a pandas DataFrame
  • used, for creating scatter plot / Creating scatter plots using a pandas DataFrame
• patch plot
  • about / Plotting with glyphs
  • creating / Creating patch plots
• plot, types
  • line plot / Plotting with glyphs
  • bar plot / Plotting with glyphs
  • patches plot / Plotting with glyphs
  • scatter plot / Plotting with glyphs
• plots
  • creating, with NumPy arrays / Creating plots using NumPy arrays 
  • creating, with pandas DataFrames / Creating plots using pandas DataFrames
  • titles, adding / Adding titles to plots
  • legends, adding / Adding legends to plots
  • color maps, adding / Adding color maps to plots
  • widgets, creating to add interactivity / Creating widgets to add interactivity to plots
  • exporting, as PNG images / Exporting plots as PNG images

R

• radio button widget
  • creating / Creating the radio button widget
• robust grid layout
  • creating / Creating a robust grid layout

S

• scatter plot
  • about / Plotting with glyphs
  • creating / Creating scatter plots
  • creating, with NumPy arrays / Creating scatter plots using NumPy arrays
  • creating, with scatter plots / Creating scatter plots using a pandas DataFrame
  • creating, with ColumnDataSource / Creating a scatter plot using the ColumnDataSource
  • slider application, combining / Combining the slider application with a scatter plot
• selections
  • creating / Creating selections
• select widget
  • application, creating / Creating an application with the select widget
• single slider application
  • creating / Creating a single slider application
• slider widget
  • creating / Creating a slider widget
• static plotting
  • versus interactive plotting / The difference between static and interactive plotting

T

• tech stocks
  • mapping / Mapping tech stocks
• text input widget
  • creating / Creating a text input widget
• time series
  • creating, with pandas DataFrame / Creating a time series plot using a pandas DataFrame

V

• visual attributes
  • creating, for style enhancement and interactivity / Creating visual attributes to enhance style and interactivity
  • used, for enhancing plot interactivity / Attributes that add interactivity to the plot
  • hover tooltip, creating / Creating a hover tooltip
  • selections, creating / Creating selections
  • used, for enhancing visual style of plot / Attributes that enhance the visual style of the plot
  • title, styling / Styling the title 
  • background, styling / Styling the background
  • plot outline, styling / Styling the outline of the plot
  • labels, styling / Styling the labels

W

• WebGL
  • used, for enhancing performance / Using WebGL to improve performance
  • used, for performance improvement / Improving performance using WebGL
• widget
  • creation, for adding interactivity to plots / Creating widgets to add interactivity to plots
  • button widget, creating / Creating a button widget
  • dropdown menu widget, creating / Creating a drop-down menu widget
  • radio button widget, creating / Creating the radio button widget
  • slider widget, creating / Creating a slider widget
  • text input widget, creating / Creating a text input widget