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()