perform varimax rotation in python using numpy

Question

I am working on principal component analysis of a matrix. I have already found the component matrix shown below

A = np.array([[-0.73465832 -0.24819766 -0.32045055]
              [-0.3728976   0.58628043 -0.63433607]
              [-0.72617152  0.53812819 -0.22846634]
              [ 0.34042864 -0.08063226 -0.80064174]
              [ 0.8804307   0.17166265  0.04381426]
              [-0.66313032  0.54576874  0.37964986]
              [ 0.286712    0.68305196  0.21769803]
              [ 0.94651412  0.14986739 -0.06825887]
              [ 0.40699665  0.73202276 -0.08462949]])

I need to perform varimax rotation in this component matrix but could not find the exact method and degree to rotate. Most of the examples are shown in R. However I need the method in python.

Answer 1

I've looked up solutions for doing factor analysis in python on stack-overflow so many times, that I recently made my own package, fa-kit. Even though this is an old post, I'm throwing up this link in case there's anybody else in the future that gets here via google.