diff --git a/academic_codes/2021.07.29_bands_of_SSH_model_with_two_kinds_of_fourier_transform/bands_of_SSH_model_with_two_kinds_of_fourier_transform.py b/academic_codes/2021.07.29_bands_of_SSH_model_with_two_kinds_of_fourier_transform/bands_of_SSH_model_with_two_kinds_of_fourier_transform.py
index b1cee85..b64ddab 100644
--- a/academic_codes/2021.07.29_bands_of_SSH_model_with_two_kinds_of_fourier_transform/bands_of_SSH_model_with_two_kinds_of_fourier_transform.py
+++ b/academic_codes/2021.07.29_bands_of_SSH_model_with_two_kinds_of_fourier_transform/bands_of_SSH_model_with_two_kinds_of_fourier_transform.py
@@ -5,7 +5,7 @@ import guan
 
 v=0.6
 w=1
-k = np.linspace(-pi ,pi, 100)
+k_array = np.linspace(-pi ,pi, 100)
 
 def hamiltonian_1(k):
     matrix = np.zeros((2, 2), dtype=complex)
@@ -19,8 +19,8 @@ def hamiltonian_2(k):
     matrix[1,0] = v*cmath.exp(-1j*k/2)+w*cmath.exp(1j*k/2)
     return matrix
 
-E_1 = guan.calculate_eigenvalue_with_one_parameter(k, hamiltonian_1)
-guan.plot(k, E_1, xlabel='k', ylabel='E_1')
+E_1_array = guan.calculate_eigenvalue_with_one_parameter(k_array, hamiltonian_1)
+guan.plot(k_array, E_1_array, xlabel='k', ylabel='E_1')
 
-E_2 = guan.calculate_eigenvalue_with_one_parameter(k, hamiltonian_2)
-guan.plot(k, E_2, xlabel='k', ylabel='E_2')
\ No newline at end of file
+E_2_array = guan.calculate_eigenvalue_with_one_parameter(k_array, hamiltonian_2)
+guan.plot(k_array, E_2_array, xlabel='k', ylabel='E_2')
\ No newline at end of file