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Commit 123f8d8

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‎.idea/workspace.xml‎

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‎Python科学计算基础/Numpy数据存取与常用函数.py‎

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# np.load(fname)
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# • fname : 文件名,以.npy为扩展名,压缩扩展名为.npz
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a = np.arange(100).reshape(5, 10, 2)
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np.save('a.npy', a)
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# a = np.arange(100).reshape(5, 10, 2)
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# np.save('a.npy', a)
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# b = np.load('a.npy')
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# print(b)
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"""
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numpy的随机数函数
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"""
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# rand(d0,d1,..,dn) 根据d0‐dn创建随机数数组,浮点数,[0,1),均匀分布
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# randn(d0,d1,..,dn) 根据d0‐dn创建随机数数组,标准正态分布
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# randint(low[,high,shape]) 根据shape创建随机整数或整数数组,范围是[low, high)
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# seed(s) 随机数种子,s是给定的种子值
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# a = np.random.rand(3, 4, 5)
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# print(a)
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# b = np.random.randn(3, 4, 5)
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# print(b)
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# c = np.random.randint(100, 800,(3, 4, 2))
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# print(c)
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# shuffle(a) 根据数组a的第1轴进行随排列,改变数组x
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# permutation(a) 根据数组a的第1轴产生一个新的乱序数组,不改变数组x
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# choice(a[,size,replace,p])
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# 从一维数组a中以概率p抽取元素,形成size形状新数组
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# replace表示是否可以重用元素,默认为False

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