Python Scikit-learn: Create a joinplot to describe individual distributions on the same plot between Sepal length and Sepal width
Python Machine learning Iris Visualization: Exercise-7 with Solution
Write a Python program to create a joinplot to describe individual distributions on the same plot between Sepal length and Sepal width.
Note: joinplot - Draw a plot of two variables with bivariate and univariate graphs.
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', data=iris, color='blue')
plt.show()
Sample Output:
Python Code Editor:
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Previous: Write a Python program to create a graph to see how the length and width of SepalLength, SepalWidth, PetalLength, PetalWidth are distributed.
Next: Write a Python program to create a joinplot using “hexbin” to describe individual distributions on the same plot between Sepal length and Sepal width.
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https://w3resource.com/machine-learning/scikit-learn/iris/python-machine-learning-scikit-learn-iris-visualization-exercise-7.php
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