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
137 6.4 3.1 5.5 1.8 virginica
148 6.2 3.4 5.4 2.3 virginica
85 6.0 3.4 4.5 1.6 versicolor
100 6.3 3.3 6.0 2.5 virginica
45 4.8 3.0 1.4 0.3 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.

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