Libraries
First, we need to import a few libraries:
- matplotlib: for plotting
- seaborn: for making the plots prettier
import matplotlib.pyplot as plt
import seaborn as snsDataset
The dataset that we will use is the iris dataset that we can load using seaborn.
df = sns.load_dataset('iris')Flip the plot
It is quite straightforward to build a density plot with a 90 degrees orientation thanks to the y argument.
By default, seaborn uses the x argument to plot your graph, but if you explicitly specify that you want it on the y-axis, it will turn 90 degrees.
sns.set_theme(style="darkgrid")
sns.kdeplot(y=df['sepal_width'], fill=True, color="skyblue")
plt.show()
Going further
This post explains how to flip a density plot with seaborn.
You might be interested in displaying distribution of multiple variables and creating a mirrored density plot.
