How to show more details in `seaborn.kdeplot()`?

Question

I have a scatter plot on the left-hand side below, where there are lots of data points, and the figure on the right are corresponding density plot using seaborn.kdeplot(). But unfortunately since the variance of the density is so large that kdeplot fails to capture many details in other low-density area (e.g. there is basically no information about the density distribution on the top right).

Does anyone have any ways to fix this issue?

Thanks!

Answer 1

You can use the n_levels parameter, i.e.

f, axes = plt.subplots(1, 3, figsize=(15, 5), sharex=True, sharey=True)
x, y = np.random.normal(0, 1, (2, 1000))
axes[0].scatter(x, y, s=5, c=".1")
sns.kdeplot(x, y, n_levels=10, ax=axes[1])
sns.kdeplot(x, y, n_levels=30, ax=axes[2])
f.tight_layout()