33 lines
878 B
Python
33 lines
878 B
Python
import numpy as np
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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from sklearn import datasets
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# 加载数据集load_xxx
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iris = datasets.load_iris()
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# 是一个字典
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iris.keys()
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# dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names'])
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# 数据文档
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print(iris.DESCR)
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print(iris.data,iris.data.shape,iris.target,iris.target_names)
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# 所有的行，取前两列
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X = iris.data[:,:2]
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# X[:,0]这样可以取出第0列
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plt.scatter(X[:,0],X[:,1])
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plt.show()
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y = iris.target
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# marker 是形状
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for i,colors,marker in [(0,"red","o"),(1,"blue","+"),(2,"green","x")]:
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plt.scatter(X[y==i,0],X[y==i,1],color=colors,marker=marker)
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plt.show()
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# 使用另外两个维度
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X = iris.data[:,2:]
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# marker 是形状
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for i,colors,marker in [(0,"red","o"),(1,"blue","+"),(2,"green","x")]:
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plt.scatter(X[y==i,0],X[y==i,1],color=colors,marker=marker)
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plt.show() |