13 lines
437 B
Python
13 lines
437 B
Python
import numpy as np
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import pylab
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import scipy.stats as stats
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data = np.mat([[1, 200, 105, 3, False], [2, 165, 80, 2, False],
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[3, 184.5, 120, 2, False], [4, 116, 70.8, 1, False], [5, 270, 150, 4, True]])
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coll=[]
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for row in data:
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coll.append(row[0,1])
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#scipy是专门的机器学习的数据处理包，probplot计算了coll数据集中数据在正态分布下的分离程度
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stats.probplot(coll,plot=pylab)
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pylab.show() |