from sklearn import datasetsimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt iris = datasets.load_iris()X = iris['data'] # iris.datay = iris['target'] # iris.targetfeatures = iris['feature_names'] # iris.feature_namesprint(features)['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'] iris_df = pd.DataFrame(X,columns=['sepal_length', 'sepal_wid..
