python中的反矩阵（numpy/sympy）

发布于 2025-02-12 13:25:22 字数 431 浏览 1 评论 0原文

我有一个包含复数数字的顺序8*8的矩阵（a）。我想计算该矩阵的倒数，因此我使用了np.linalg.inv（b）命令，但我有一个错误：

ufuntypeypeerror：无法将dtype（'o'）的ufunc'spt'输入施加到 dtype（'float64'）带有铸造规则'same_kind'

值得一提的是：

In [169]: type(A)
Out[169]: numpy.matrix
In [171]:type(A[0,0])
Out[171]: sympy.core.mul.Mul

如何计算该矩阵的倒数？我有点困惑，我应该在哪个图书馆搜索？ numpy还是Sympy？由于矩阵类型为numpy，但是其组件是sympy。谢谢

原文

I have a matrix (A) of order 8*8 which contains complex numbers.
I would like to calculate the inverse of that matrix, so I used np.linalg.inv(b) command but I got an error:

UFuncTypeError: Cannot cast ufunc 'inv' input from dtype('O') to
dtype('float64') with casting rule 'same_kind'

It's worth to mention that:

In [169]: type(A)
Out[169]: numpy.matrix
In [171]:type(A[0,0])
Out[171]: sympy.core.mul.Mul

How can I calculate the inverse of that matrix? I have been a little confused, in which library should I search for? NumPy or SymPy? since the matrix type is NumPy however its component is SymPy.
Thanks

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