13 lines
326 B
Python
13 lines
326 B
Python
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#等频离散化
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import pandas as pd
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import numpy as np
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num=[5,10,11,13,15,35,50,55,72,92,204,215]
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k=4; #设置离散后的数据段为5
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temp=[ i/k*100 for i in range(k+1)]
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print(temp)
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w=[ ]
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for item in temp:
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w.append(np.percentile(num,item))
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w[0] = w[0]*(1-1e-10)
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d2=pd.cut(num,w,labels=range(k))
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print(d2.value_counts())
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