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Hands-On Data Visualization with Bokeh
ThisbookiswellsuitedfordatascientistsanddataanalystswhowanttoperforminteractivedatavisualizationontheirwebbrowsersusingBokeh.SomeexposuretoPythonprogrammingwillbehelpful,butpriorexperiencewithBokehisnotrequired.
最新章節
- Leave a review - let other readers know what you think
- Other Books You May Enjoy
- Summary
- Presenting your results
- Improving performance using WebGL
- Adding a hover tool
品牌：中圖公司
上架時間：2021-06-25 20:42:46
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
- Leave a review - let other readers know what you think 更新時間：2021-06-25 20:50:37
- Other Books You May Enjoy
- Summary
- Presenting your results
- Improving performance using WebGL
- Adding a hover tool
- Mapping tech stocks
- Creating the base plot
- Creating an insightful visualization
- The exploratory data analysis
- Asking the right question
- Technical requirements
- The Bokeh Workflow – A Case Study
- Summary
- Exporting plots as PNG images
- Using WebGL to improve performance
- Visualizing geographic data with Bokeh
- Visualizing networks with explicit paths
- Visualizing networks with straight paths
- Using Bokeh to visualize networks
- Technical requirements
- Advanced Plotting with Networks Geo Data WebGL and Exporting Plots
- Summary
- Introduction to deploying the Bokeh application
- Creating an application to select different columns
- Creating an application with the button widget
- Creating an application with the select widget
- Combining the slider application with a line plot
- Combining the slider application with a scatter plot
- Creating a multi-slider application
- Creating a single slider application
- Building a Bokeh application
- Introduction to the Bokeh Server
- Technical requirements
- Building and Hosting Applications Using the Bokeh Server
- Summary
- Styling the labels
- Styling the outline of the plot
- Styling the background
- Styling the title
- Attributes that enhance the visual style of the plot
- Creating selections
- Creating a hover tooltip
- Attributes that add interactivity to the plot
- Creating visual attributes to enhance style and interactivity
- Creating a text input widget
- Creating a slider widget
- Creating the radio button widget
- Creating a drop-down menu widget
- Creating the checkbox widget
- Creating a button widget
- Creating widgets to add interactivity to plots
- Adding color maps to plots
- Adding legends to plots
- Adding titles to plots
- Creating annotations to convey supplemental information
- Technical requirements
- Using Annotations Widgets and Visual Attributes for Visual Enhancement
- Summary
- Linking multiple plots together
- Creating a robust grid layout
- Creating multiple plots using a tabbed layout
- Creating multiple plots in a row and column
- Creating multiple plots in the same column
- Creating multiple plots along the same row
- Technical requirements
- Using Layouts for Effective Presentation
- Summary
- Creating a scatter plot using the ColumnDataSource
- Creating a time series plot using the ColumnDataSource
- Creating plots with ColumnDataSource
- Creating scatter plots using a pandas DataFrame
- Creating a time series plot using a pandas DataFrame
- Creating plots using pandas DataFrames
- Creating scatter plots using NumPy arrays
- Creating line plots using NumPy arrays
- Creating plots using NumPy arrays
- Technical requirements
- Plotting with different Data Structures
- Summary
- Customizing glyphs
- Creating scatter plots
- Creating patch plots
- Creating bar plots
- Creating line plots
- Plotting with glyphs
- What are glyphs?
- Technical requirements
- Plotting using Glyphs
- Summary
- Plot outputs
- Key concepts and the building blocks of Bokeh
- When things go wrong
- Verifying your installation
- Installing Bokeh using a Python distribution
- Installing the Bokeh library
- The difference between static and interactive plotting
- Technical requirements
- Bokeh Installation and Key Concepts
- Reviews
- Get in touch
- Conventions used
- Code in action
- Download the color images
- Download the example code files
- To get the most out of this book
- What this book covers
- Who this book is for
- Preface
- Packt is searching for authors like you
- About the reviewer
- About the author
- Contributors
- PacktPub.com
- Why subscribe?
- Packt Upsell
- Dedication
- 版權信息
- 封面
- 封面
- 版權信息
- Dedication
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Contributors
- About the author
- About the reviewer
- Packt is searching for authors like you
- 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
- Other Books You May Enjoy
- Leave a review - let other readers know what you think 更新時間：2021-06-25 20:50:37
