User Guide ¶
The User Guide is the primary resource documenting key concepts that will help you use HoloViews in your work. For newcomers, a gentle introduction to HoloViews can be found in our Getting Started guide and an overview of some interesting HoloViews examples can be found in our Gallery . If you are looking for a specific component (or wish to view the available range of primitives), see our Reference Gallery .
Core guides ¶
These user guides provide detailed explanation of some of the core concepts in HoloViews:
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- Annotating your Data
- Core concepts when annotating your data with semantic metadata.
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- Composing Elements
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Composing your data into layouts and overlays with the
+and*operators.
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- Customizing Plots
- Controlling the look and feel of the visual representation.
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- Dimensioned Containers
- Multi-dimensional containers for animating and faceting your data flexibly.
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- Building Composite Objects
- How to build and work with nested composite objects.
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- Live Data
- Lazily generate data on the fly and generate engaging interactive visualizations.
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- Tabular Datasets
- Explore tabular data with NumPy , pandas and dask .
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- Gridded Datasets
- Explore gridded data (n-dimensional arrays) with NumPy and XArray .
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- Indexing and Selecting Data
- Select and index subsets of your data with HoloViews.
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- Transforming Elements
- Apply operations to your data that can be used to build data analysis pipelines
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- Responding to Events
- Allow your visualizations to respond to Python events using the ‘streams’ system.
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- Custom Interactivity
- Use Bokeh and ‘linked streams’ to directly interact with your visualizations.
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- Data Processing Pipelines
- Chain operations to build sophisticated, interactive and lazy data analysis pipelines.
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- Creating interactive network graphs
- Using the Graph element to display small and large networks interactively.
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- Working with large data
- Leverage Datashader to interactively explore millions or billions of datapoints.
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- Working with Streaming Data
- Demonstrates how to leverage the streamz library with HoloViews to work with streaming datasets.
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- Creating interactive dashboards
- Use external widget libraries to build custom, interactive dashboards.
Supplementary guides ¶
These guides provide detail about specific additional features in HoloViews:
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- Installing and Configuring HoloViews
- Additional information about installation and configuration options.
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- Styling Plots
- How to control common styling options including color/style cycles and colormapping.
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- Colormaps
- Overview of colormaps available, including when and how to use each type.
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- Plotting with Bokeh
- Styling options and unique Bokeh features such as plot tools and using bokeh models directly.
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- Deploying Bokeh Apps
- Using bokeh server using scripts and notebooks.
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- Plotting with matplotlib
- Styling options and unique Matplotlib features such as GIF/MP4 support.
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- Plotting with plotly
- Styling options and unique plotly features, focusing on 3D plotting.
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- Working with renderers and plots
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Using the
RendererandPlotclasses for access to the plotting machinery.
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- Exporting and Archiving
- Archive both your data and visualization in scripts and notebooks.
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- Continuous Coordinates
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How continuous coordinates are handled, specifically focusing on
ImageandRastertypes.