import numpy as np
import matplotlib.pyplot as plt

#https://k6jca.blogspot.com/2019/12/vna-notes-on-12-term-error-model-and.html

Gm1 = np.loadtxt('short.txt', dtype=np.complex128)
Gm2 = np.loadtxt('load.txt', dtype=np.complex128)
Gm3 = np.loadtxt('open.txt', dtype=np.complex128)
G1  = -1
G2  = 0.1
G3  = +1

e00 = (G1*G2*Gm1*Gm3 - G1*G3*Gm1*Gm2 - G1*G2*Gm2*Gm3 + G2*G3*Gm1*Gm2 + G1*G3*Gm2*Gm3 - G2*G3*Gm1*Gm3)/(G1*G2*Gm1 - G1*G2*Gm2 - G1*G3*Gm1 + G1*G3*Gm3 + G2*G3*Gm2 - G2*G3*Gm3)
e11 = -(G1*Gm2 - G2*Gm1 - G1*Gm3 + G3*Gm1 + G2*Gm3 - G3*Gm2)/(G1*G2*Gm1 - G1*G2*Gm2 - G1*G3*Gm1 + G1*G3*Gm3 + G2*G3*Gm2 - G2*G3*Gm3)
d_e = -(G1*Gm1*Gm2 - G1*Gm1*Gm3 - G2*Gm1*Gm2 + G2*Gm2*Gm3 + G3*Gm1*Gm3 - G3*Gm2*Gm3)/(G1*G2*Gm1 - G1*G2*Gm2 - G1*G3*Gm1 + G1*G3*Gm3 + G2*G3*Gm2 - G2*G3*Gm3)

plt.plot(e00)
plt.plot(e11)
plt.plot(d_e)
plt.show()