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
149	5.9	3.0	5.1	1.8	virginica
125	7.2	3.2	6.0	1.8	virginica
0	5.1	3.5	1.4	0.2	setosa
55	5.7	2.8	4.5	1.3	versicolor
141	6.9	3.1	5.1	2.3	virginica

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.