x_vals = np.linspace(0, 10, 5)
#print(x_vals)
[ 0. 2.5 5. 7.5 10. ]
x_vals_column = np.transpose(np.matrix(x_vals))#转化数组为矩阵
ones_column = np.transpose(np.matrix(np.repeat(1, 5)))
#print(ones_column)
[[1]
[1]
[1]
[1]
[1]]
A = np.column_stack((x_vals_column, ones_column))
#print(A)
[[ 0. 1. ]
[ 2.5 1. ]
[ 5. 1. ]
[ 7.5 1. ]
[10. 1. ]]
b = np.row_stack((x_vals_column, ones_column))
# print(B)
[[ 0. ]
[ 2.5]
[ 5. ]
[ 7.5]
[10. ]
[ 1. ]
[ 1. ]
[ 1. ]
[ 1. ]
[ 1. ]]
np.column_stack用法
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转载自blog.csdn.net/weixin_38632246/article/details/86713078
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