User Guide#

The user guide provides a detailed introduction to the API and features of hvPlot. In the Introduction you will learn how to activate the plotting API and start using it. Next you will learn to use the API for tabular data and get an overview of the types of plots you can generate; including how to customize interactivity using widgets. Next is an overview on how to display and save plots in the notebook, on the commandline, and from a script. Another section will introduce you to generating subplots from your data.

Once the basics are covered you can learn how to use the plotting API for specific types of data including streaming data, gridded data network graphs, geographic data, and timeseries data. These sections are not meant to be read in a particular order; you should take a look at any that seem relevant to your data.

The interactive user guide introduces you to the ability to use the APIs of your favorite data analysis libraries interactively by allowing you to pass in widgets in place of constant arguments. This will provide you with an invaluable tool to perform exploratory analyses quickly but also build powerful and complex data analysis pipelines using APIs you are already familiar with.

Lastly the statistical plots section will take you through a number of specialized plot types modelled on the pandas.plotting module.

Overview: