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view.py

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+from collections import Counter, defaultdict
+import matplotlib
+import matplotlib.pyplot as plt
+import numpy as np
+from sklearn import datasets
+import pandas as pd
+
+iris_datas = datasets.load_iris()
+#Iris = pd.read_csv('iris.csv')
+
+
+matplotlib.rcParams['font.sans-serif'] = ['SimHei']
+
+style_list = ['o', '^', 's']  # 设置点的不同形状，不同形状默认颜色不同，也可自定义
+data = iris_datas.data
+labels = iris_datas.target_names
+cc = defaultdict(list)
+
+for i, d in enumerate(data):
+    cc[labels[int(i / 50)]].append(d)
+p_list = []
+c_list = []
+
+for each in [0, 2]:
+    for i, (c, ds) in enumerate(cc.items()):
+        draw_data = np.array(ds)
+        p = plt.plot(draw_data[:, each], draw_data[:, each + 1], style_list[i])
+        p_list.append(p)
+        c_list.append(c)
+
+    plt.legend(map(lambda x: x[0], p_list), c_list)
+    plt.title('鸢尾花花瓣的长度和宽度') if each else plt.title('鸢尾花花萼的长度和宽度')
+    plt.xlabel('花瓣的长度(cm)') if each else plt.xlabel('花萼的长度(cm)')
+    plt.ylabel('花瓣的宽度(cm)') if each else plt.ylabel('花萼的宽度(cm)')
+    plt.savefig('分布图')