import matplotlib.pyplot as plt
import scipy as sc
import Methods as meth
one = np.zeros(100)
(M, y) = meth.Get_CUR_Data()
two = np.zeros((4, 5))
q = 1
j = 2
for q in range(8):
for j in range(10):
for i in range(100):
(C, R, U) = meth.CUR_decomp(M, y, j, q)
one[i] = np.linalg.norm((M - C @ U @ R), 'fro') / np.linalg.norm(
(M - C), 'fro')
two[q, j] = np.sum(one) / len(one)
j = j + 2
q = q + 2
x = np.array[2, 4, 6, 8, 10]
fig = plt.figure()
#fig.subplots_adjust(top=0.8)
ax = fig.add_subplot(111)
lab = 'a = 1'
plt.plot(x, two[0, :], label=lab)
lab = 'a = 3'
plt.plot(x, two[1, :], label=lab)
lab = 'a = 5'
