Viewing

hvPlot is written to work well inside a Jupyter notebook, from the interactive Python command prompt, or inside a Python batch script. In this user guide we will discover how to use hvPlot to view plots in each of these cases and how to save the plots to a separate file.

Using hvPlot in different contexts

Notebook

In a Jupyter notebook, hvPlot will return HoloViews objects that display themselves, as long as the plotting library has been loaded. The easiest way of loading the plotting library is to import one of the plotting accessors such as pandas’ one with hvplot.pandas:

import hvplot.pandas  # noqa