Making seaborn.PairGrid() look like pairplot()

Question

In the example below, how do I use seaborn.PairGrid() to reproduce the plots created by seaborn.pairplot()? Specifically, I'd like the diagonal distributions to span the vertical axis. Markers with white borders etc... would be great too. Thanks!

import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset('iris')

# pairplot() example
g = sns.pairplot(iris, kind='scatter', diag_kind='kde')
plt.show()

# PairGrid() example
g = sns.PairGrid(iris)
g.map_diag(sns.kdeplot)
g.map_offdiag(plt.scatter)
plt.show()

Answer 1

This is quite simple to achieve. The main differences between your plot and what pairplot does are:

• the use of the diag_sharey parameter of PairGrid
• using sns.scatterplot instead of plt.scatter

With that, we have:

iris = sns.load_dataset('iris')
g = sns.PairGrid(iris, diag_sharey=False)
g.map_diag(sns.kdeplot)
g.map_offdiag(sns.scatterplot)

Answer 2

To change the visual style:

import seaborn as sns
import matplotlib.pyplot as plt

iris = sns.load_dataset('iris')

g = sns.PairGrid(iris)
g.map_diag(sns.kdeplot, shade=True)
g.map_offdiag(plt.scatter, edgecolor="w")
plt.show()