How do I get the inverse of a matrix in python? I've implemented it myself, but it's pure python, and I suspect there are faster modules out there to do it.
Python provides a very easy method to calculate the inverse of a matrix. The function numpy. linalg. inv() which is available in the python NumPy module is used to compute the inverse of a matrix.
We use numpy. linalg. inv() function to calculate the inverse of a matrix. The inverse of a matrix is such that if it is multiplied by the original matrix, it results in identity matrix.
The acos() function in Python returns the inverse cosine of a number. To be more specific, it returns the inverse cosine of a number in the radians.
You should have a look at numpy if you do matrix manipulation. This is a module mainly written in C, which will be much faster than programming in pure python. Here is an example of how to invert a matrix, and do other matrix manipulation.
from numpy import matrix from numpy import linalg A = matrix( [[1,2,3],[11,12,13],[21,22,23]]) # Creates a matrix. x = matrix( [[1],[2],[3]] ) # Creates a matrix (like a column vector). y = matrix( [[1,2,3]] ) # Creates a matrix (like a row vector). print A.T # Transpose of A. print A*x # Matrix multiplication of A and x. print A.I # Inverse of A. print linalg.solve(A, x) # Solve the linear equation system.
You can also have a look at the array module, which is a much more efficient implementation of lists when you have to deal with only one data type.
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