from sklearn.datasets import load_iris
import matplotlib
import matplotlib.pyplot as plt
iris= load_iris()
matplotlib.rcParams['font.sans-serif'] = ['SimHei']
matplotlib.rcParams['axes.unicode_minus'] = False
x_index =0
y_index =1
colors =['red', 'green', 'blue']
for label, color in zip(range(len(iris.target_names)), colors):
plt.scatter(iris.data[iris.target==label, x_index],
iris.data[iris.target==label, y_index],
# label = iris.target_names[label],
c = color,alpha = 3/10)
# 透明度设置
plt.xlabel('萼片长度')
plt.ylabel('萼片宽度')
plt.legend
plt.show()