How to locate the median in a (Seaborn) KDE plot?


To locate the median in a seaborn KDE plot, we can take the following steps

  • Set the figure size and adjust the padding between and around the subplots.
  • Create random data using numpy.
  • Find the median of data (Step 2).
  • Use kdeplot() to plot the shaded region.
  • Use axvline() method to plot the vertical line.
  • To display the figure, use show() method.

Example

import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
data = np.random.randn(30)
xmedian = np.median(data)
k = sns.kdeplot(x=data, shade=True)
plt.axvline(xmedian, c='red')

plt.show()

Output

Updated on: 02-Jun-2021

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