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36 lines
1.2 KiB
36 lines
1.2 KiB
from collections import Counter, defaultdict
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import matplotlib
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import matplotlib.pyplot as plt
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import numpy as np
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from sklearn import datasets
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import pandas as pd
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iris_datas = datasets.load_iris()
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#Iris = pd.read_csv('iris.csv')
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matplotlib.rcParams['font.sans-serif'] = ['SimHei']
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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
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data = iris_datas.data
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labels = iris_datas.target_names
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cc = defaultdict(list)
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for i, d in enumerate(data):
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cc[labels[int(i / 50)]].append(d)
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p_list = []
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c_list = []
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for each in [0, 2]:
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for i, (c, ds) in enumerate(cc.items()):
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draw_data = np.array(ds)
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p = plt.plot(draw_data[:, each], draw_data[:, each + 1], style_list[i])
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p_list.append(p)
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c_list.append(c)
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plt.legend(map(lambda x: x[0], p_list), c_list)
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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')
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plt.xlabel('花瓣的长度(cm)') if each else plt.xlabel('花萼的长度(cm)')
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plt.ylabel('花瓣的宽度(cm)') if each else plt.ylabel('花萼的宽度(cm)')
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plt.savefig('分布图')
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