iris 鸢尾花数据集&画图

import seaborn as sns
sns.set(style=“whitegrid”, palette=“husl”)

iris = sns.load_dataset(“iris”)
print (iris.head())

print (iris.feature_names) # input names
print (iris.target_names) # output names
print (iris.DESCR) # everything else

iris = pd.melt(iris, “species”, var_name=“measurement”)
print (iris.head())

f, ax = plt.subplots(1, figsize=(15,10))
sns.stripplot(x=“measurement”, y=“value”, hue=“species”, data=iris, jitter=True, edgecolor=“white”, ax=ax)

有啥区别：
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data
y = iris.target