Python Scikit-learn: Create a pairplot of the iris data set and check which flower species seems to be the most separable
Python Machine learning Iris Visualization: Exercise-13 with Solution
Write a Python program to create a pairplot of the iris data set and check which flower species seems to be the most separable.
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt iris = pd.read_csv("iris.csv") g = sns.jointplot(x="SepalLengthCm", y="SepalWidthCm", data=iris, kind="kde", color="m") g.plot_joint(plt.scatter, c="w", s=40, linewidth=1, marker="+") g.ax_joint.collections.set_alpha(0) g.set_axis_labels("$SepalLength(Cm)$", "$SepalWidth(Cm)$") plt.show()
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.Write a Python program using seaborn to Create a kde (Kernel Density Estimate ) plot of sepal_length versus sepal width for setosa species of flower.
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