Bivariate Plot of Penguin Measurements#

This example shows how to visualize the joint distribution of two numerical features using a bivariate plot. Here, we explore the relationship between bill length and flipper length in the Penguins dataset.

import hvplot.pandas  # noqa

df = hvplot.sampledata.penguins("pandas")

df.hvplot.bivariate(x="bill_length_mm", y="flipper_length_mm")

import hvplot.pandas  # noqa
hvplot.extension("matplotlib")

df = hvplot.sampledata.penguins("pandas")

df.hvplot.bivariate(x="bill_length_mm", y="flipper_length_mm")