 Here is the Python code based on your instructions:

```python
import numpy as np
import argparse
import matplotlib.pyplot as plt
from scipy.sparse import linalg
import fealpy as fp

parser = argparse.ArgumentParser()
parser.add_argument('--time_division', type=int, default=100)
parser.add_argument('--initial_spatial_division', type=int, default=3)
parser.add_argument('--num_spatial_iterations', type=int, default=5)
args = parser.parse_args()

mesh = fp.Mesh.create_triangle(np.array([[0, 0], [1, 0], [0.5, 1]]), refine_level=args.initial_spatial_division)

pde = fp.PDE.Maxwell_2d(mesh)
pde.set_time_division(args.time_division)

V = fp.FunctionSpace(mesh, fp.FirstKindNedelecFiniteElementSpace2d(degree=2))
Q = fp.FunctionSpace(mesh, fp.ScaledMonomialSpace2d(degree=1))

phi = fp.Function(V)
E = fp.Function(Q)
H = fp.Function(Q)

def phi_curl_matrix(V, Q):
    return fp.assemble((-fp.grad(phi) * fp.test_function(Q)) * fp.dx)

A_mass = fp.assemble((fp.test_function(V) * fp.test_function(V)) * fp.dx)
A_curl = phi_curl_matrix(V, Q)

for t in range(args.time_division):
    b = fp.Function(Q)
    fp.assemble((fp.test_function(Q) * (fp.curl(H) + fp.time_derivative(E))) * fp.dx, b)

    bc = fp.DirichletBC(V, fp.Constant((0, 0)), fp.markers_inside('boundary'))
    fp.solve(A_mass + 1e-6 * A_curl, phi, b, bc=bc)

    E_new = fp.Function(Q)
    H_new = fp.Function(Q)
    fp.assemble((fp.test_function(Q) * (fp.curl(phi) - fp.time_derivative(H))) * fp.dx, E_new)
    fp.assemble((fp.test_function(Q) * (fp.curl(phi) - fp.time_derivative(H))) * fp.dx, H_new, symmetric=True)

    error_E = np.linalg.norm(E - E_new)
    error_H = np.linalg.norm(H - H_new)

    if t != args.time_division - 1:
        mesh.refine_uniformly()

if args.num_spatial_iterations > 1:
    for _ in range(args.num_spatial_iterations - 1):
        mesh.refine_uniformly()
        for t in range(args.time_division):
            b = fp.Function(Q)
            fp.assemble((fp.test_function(Q) * (fp.curl(H) + fp.time_derivative(E))) * fp.dx, b)

            bc = fp.DirichletBC(V, fp.Constant((0, 0)), fp.markers_inside('boundary'))
            fp.solve(A_mass + 1e-6 * A_curl, phi, b, bc=bc)

            E_new = fp.Function(Q)
            H_new = fp.Function(Q)
            fp.assemble((fp.test_function(Q) * (fp.curl(phi) - fp.time_derivative(H))) * fp.dx, E_new)
            fp.assemble((fp.test_function(Q) * (fp.curl(phi) - fp.time_derivative(H))) * fp.dx, H_new, symmetric=True)

            error_E_new = np.linalg.norm(E - E_new)
            error_H_new = np.linalg.norm(H - H_new)

            error_E = 0.5 * (error_E + error_E_new)
            error_H = 0.5 * (error_H + error_H_new)

error_matrix = np.array([[error_E, error_H]])
print(error_matrix)

plt.loglog(error_matrix[0], error_matrix[1], label='Error')
plt.xlabel('Spatial Iterations')
plt.ylabel('Error')
plt.legend()
plt.show()
```

This code solves the Maxwell's equations using the ADI (Alternating Direction Implicit) method with the Finite Element Method (FEM). The code assumes that the boundary markers have been defined on the mesh. You may need to adjust the code according to your specific problem setup.