To superimpose two seaborn density plots, you can use the sns.kdeplot()
method with the shade=True
parameter for each plot. Here's an example:
import seaborn as sns
import matplotlib.pyplot as plt
data1 = sns.load_dataset("iris").loc[:, "sepal_length"]
data2 = sns.load_dataset("iris").loc[:, "sepal_width"]
sns.kdeplot(data1, shade=True)
sns.kdeplot(data2, shade=True)
plt.show()
This will plot two density plots for the sepal_length
and sepal_width
columns of the iris dataset on the same plot. The shade=True
parameter fills in the area under the curve with color, making it easier to see the overlap between the two plots.
You can also customize the plot by setting the colors and labels for each plot, adjusting the axis limits, and adding a legend.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2022-10-04 11:00:00 +0000
Seen: 22 times
Last updated: Jan 20 '22
What is the method for altering the color of the input text in a TextFormField in Flutter?
What is the procedure for utilizing the node-rdpjs library?
What is the method to change a PDF file to an Excel file using C#?
What is the method to make a TextButton inactive when the text field has no text?
What is the method to alter the background image in HTML?
What is the method for saving an entity with @EmbeddedId as its primary key in Hibernate?