How to add a colorbar to a seaborn kdeplot

Question

I want to create a Kernel-Density-Estimation with seaborn.kdeplot with a colorbar on the side.

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np; np.random.seed(10)
import seaborn as sns; sns.set(color_codes=True)

mean, cov = [0, 2], [(1, .5), (.5, 1)]
x, y = np.random.multivariate_normal(mean, cov, size=50).T
sns.kdeplot(x, y ,shade=True)
plt.show()

While the Kernel-Density-Estimation is created, I do not have a clue how to create the colorbar. I tried using plt.colorbar() without success.

Asked By: Panzerritter

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Source

Answer 1

You’ll have to call the scipy KDE and matplotlib contour function directly, but it’s just a bit of extra code:

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np; np.random.seed(10)
import seaborn as sns; sns.set(color_codes=True)
from scipy import stats

mean, cov = [0, 2], [(1, .5), (.5, 1)]
data = np.random.multivariate_normal(mean, cov, size=50).T

kde = stats.gaussian_kde(data)
xx, yy = np.mgrid[-3:3:.01, -1:4:.01]
density = kde(np.c_[xx.flat, yy.flat].T).reshape(xx.shape)

f, ax = plt.subplots()
cset = ax.contourf(xx, yy, density, cmap="viridis")
f.colorbar(cset)

Answered By: mwaskom

Answer 2

Now it’s implemented! parameter cbar=True.

You can also use shade_lowest=False to not shade the first level.

import seaborn as sns
import numpy as np
import matplotlib.pylab as plt

x, y = np.random.randn(2, 300)
sns.kdeplot(x=x, y=y, zorder=0, n_levels=6, shade=True, 
    cbar=True, shade_lowest=False, cmap='viridis')

Answered By: imbr

How to add a colorbar to a seaborn kdeplot

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