Old user guide headings

User Guide

Core guides

These user guides provide detailed explanation of some of the core concepts in HoloViews:

• Custom Interactivity Using linked Streams to respond to events generated by interacting with a bokeh plot, e.g. by responding to mouse position, mouse taps, selections or the current axis range.
• Data Processing Pipelines Chaining different operations to build complex and lazy data analysis pipelines, which can drive interactive plots in a notebook or in a deployed dashboard.
• Working with large data Leveraging datashader support in HoloViews to effectively and interactively explore and visualize millions or even billions of datapoints.

Supplementary guides

These guides provide detail about specific additional features in HoloViews:

• Plotting with Bokeh The basics of plotting with bokeh including details about plot tools and backend specific styling options and working with bokeh models more directly.
• Deploying Bokeh Apps Instructions on how to declare and deploy bokeh apps using HoloViews in various scenarios, e.g. from scripts, from the commandline and within the notebook.
• Plotting with matplotlib The basics of plotting with matplotlib highlighting core differences in styling and controlling the layout of matplotlib figures.
• Plotting with plotly The basics of plotting with plotly focusing on 3D plotting, one of the main strengths of plotly.
• Working with renderers and plots Using HoloViews Renderer and Plot classes directly to access and manipulate your visualizations directly.
• Exporting and Archiving Using HoloViews to archive both your data and visualization from the notebook.
• Continuous Coordinates Details on how continuous coordinates are handled in HoloViews specifically focusing on the difference between Image and other Raster types.

.. toctree::
    :titlesonly:
    :hidden:
    :maxdepth: 2

    Annotating your Data <Annotating_Data>
    Composing Elements <Composing_Elements>
    Customizing Plots <Customizing_Plots>
    Dimensioned Containers <Dimensioned_Containers>
    Building Composite Objects <Building_Composite_Objects>
    Live Data <Live_Data>
    Tabular Datasets <Tabular_Datasets>
    Gridded Datasets <Gridded_Datasets>
    Indexing and Selecting Data <Indexing_and_Selecting_Data>
    Transforming Elements <Transforming_Elements>
    Responding to Events <Responding_to_Events>
    Custom Interactivity <Custom_Interactivity>
    Data Processing Pipelines <Data_Pipelines>
    Working with large data <Large_Data>
    Plotting with Bokeh <Plotting_with_Bokeh>
    Deploying Bokeh Apps <Deploying_Bokeh_Apps>
    Plotting with matplotlib <Plotting_with_Matplotlib>
    Plotting with plotly <Plotting_with_Plotly>
    Working with Plot and Renderers <Plots_and_Renderers>
    Exporting and Archiving <Exporting_and_Archiving>
    Continuous Coordinates <Continuous_Coordinates>