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.

Notebook

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

In [1]:
import hvplot
import hvplot.pandas