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@ -32,3 +32,29 @@ special
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2.通过用户借阅图书推测出用户喜好并推荐图书
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3.统计每种图书的借阅数量供下次买书参考
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4.是否需要对用户等级进行分类，比如借数超过50本还书时间限制延长一个周
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from numpy import linalg
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import numpy as np
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def student(input_data):
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'''
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将输入数据筛选性别为男，再进行线性方程求解
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:param input_data:类型为`list`的输入数据
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:return:类型为`ndarray`
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'''
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result=[]
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# ********* Begin *********#
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try:
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a=np.array(input_data)
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d=[]
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b1 = [int(row[1]) for row in a if row[0]=="男"]
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b2 = [int(row[2]) for row in a if row[0]=="男"]
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c = [int(row[-1]) for row in a if row[0]=="男"]
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b=np.vstack((b1,b2))
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b=b.transpose()
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d=np.linalg.solve(b,c)
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d=d.reshape(2,1)
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# ********* End *********#
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return d
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except:
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return []
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