w3resource

Python Scikit-learn: Create a joinplot and add regression and kernel density fits using “reg” to describe individual distributions on the same plot between Sepal length and Sepal width

Python Machine learning Iris Visualization: Exercise-10 with Solution

Write a Python program to create a joinplot and add regression and kernel density fits using “reg” to describe individual distributions on the same plot between Sepal length and Sepal width.

Sample Solution:

Python Code:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
iris = pd.read_csv("iris.csv")
fig=sns.jointplot(x='SepalLengthCm', y='SepalWidthCm', kind="reg", color='red', data=iris) 
plt.show()

Output:

Python Machine learning Output: Iris Visualization: Exercise-10
 

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Python program to create a joinplot using “kde” to describe individual distributions on the same plot between Sepal length and Sepal width.
Next: Write a Python program to draw a scatterplot, then add a joint density estimate to describe individual distributions on the same plot between Sepal length and Sepal width.

What is the difficulty level of this exercise?