How-to#
These how-to guides are practical, problem-oriented recipes for accomplishing specific tasks with hvPlot. They assume you are already familiar with the basics. There is no order to the guides, jump to the topic that is relevant to you now.
Display and save plots#
How to load the Bokeh, Matplotlib or Plotly extension and switch between them.
How to display plots in notebooks, scripts and other environments.
How to pick the backend that best fits the output format you want to save.
How to save Bokeh plots as HTML, PNG or SVG files.
How to save Matplotlib plots as image files.
How to export animated plots as GIF files.
Style plots#
How to apply backend-specific styling options to your plots.
How to edit the Bokeh, Matplotlib or Plotly figure with that library’s own API.
How to draw lines with markers at each data point.
Combine and arrange plots#
How to draw several plots on top of each other in the same axes.
How to place plots side by side or in columns.
How to split a single plot into several subplots.
How to arrange subplots into a grid of facets.
How to build custom layouts of plots with Panel.
Explore data interactively#
How to explore multidimensional data with automatically generated widgets.
Work with AI assistants#
How to give AI coding assistants current hvPlot guidance with HoloViz skills and llms.txt.