Scatter

import hvplot.pandas  # noqa

scatter plots are a good first way to plot data with non continuous axes.

from bokeh.sampledata.iris import flowers as df

df.sample(n=5)

	sepal_length	sepal_width	petal_length	petal_width	species
85	6.0	3.4	4.5	1.6	versicolor
101	5.8	2.7	5.1	1.9	virginica
39	5.1	3.4	1.5	0.2	setosa
117	7.7	3.8	6.7	2.2	virginica
46	5.1	3.8	1.6	0.2	setosa

df.hvplot.scatter(x='sepal_length', y='sepal_width', by='species', 
                  legend='top', height=400, width=400)

As for most other types of hvPlot plots, you can add fields to the hover display using the hover_cols argument. It can also take “all” as input to show all fields.

df.hvplot.scatter(x='sepal_length', y='sepal_width', s='petal_length', scale=5, by='species', 
                  legend='top', height=400, width=600,
                  hover_cols=["species", "sepal_length", "sepal_width", "petal_width"])

You can add the ‘s’ parameter in scatter to specify the marker plot size and add the ‘scale’ parameter to specify what the scaling factor should be.