numpy.linalg.LinAlgError: Singular matrix

This error occurs when a matrix is singular, meaning it does not have an inverse. In linear algebra, the inverse of a matrix is used to solve systems of linear equations. If a matrix is singular, it is not possible to solve the system of equations using the inverse method.

There are several reasons why a matrix may be singular. One common reason is that the matrix is not full rank, which means that one or more of its rows or columns can be expressed as a linear combination of the other rows or columns. Another reason may be that the matrix contains redundant or inconsistent equations.

To fix this error, you may need to check your input data and make sure that the matrix is not singular. You can also try using a different method to solve the system of equations, such as Gaussian elimination or LU decomposition. Alternatively, you may need to revise your mathematical model to eliminate redundancy or inconsistency in the equations.