file_format

academic_codes/2021.01.10_Berry_curvature_distribution_of_graphene_under_broken_inversion_symmery/Berry_curvature_distribution_of_graphene_under_broken_inversion_symmery.py

@@ -116,7 +116,7 @@ def find_vector_with_the_same_gauge(vector_1, vector_0):
     # print('二分查找找到的规范=', phase)   
     return vector_1
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -150,7 +150,7 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.04.24_Hofstadter_butterfly_of_graphene_ribbon/Hofstadter_butterfly_of_graphene_ribbon.py

@@ -71,7 +71,7 @@ def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function, print
             i0 += 1
     return eigenvalue_array
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left) 
@@ -90,7 +90,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
     labels = ax.get_xticklabels() + ax.get_yticklabels()
     [label.set_fontname('Times New Roman') for label in labels]
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.07.28_bands_of_SSH_model_with_two_kinds_of_fourier_transform/bands_of_SSH_model_with_two_kinds_of_fourier_transform.py

@@ -53,7 +53,7 @@ def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function, print
             i0 += 1
     return eigenvalue_array
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left) 
@@ -72,7 +72,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
     labels = ax.get_xticklabels() + ax.get_yticklabels()
     [label.set_fontname('Times New Roman') for label in labels]
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.08.09_flat_bands_of_kagome lattice/flat_bands_of_kagome lattice.py

@@ -60,7 +60,7 @@ def calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_funct
             i0 += 1
     return eigenvalue_array
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -94,7 +94,7 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_Wilson_loop.py

@@ -64,7 +64,7 @@ def main():
     # import guan
     # guan.plot(ky_array, nu_x_array, xlabel='ky', ylabel='nu_x', style='-', y_min=0, y_max=1)
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left) 
@@ -83,7 +83,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
     labels = ax.get_xticklabels() + ax.get_yticklabels()
     [label.set_fontname('Times New Roman') for label in labels]
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_bands.py

@@ -96,7 +96,7 @@ def calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_funct
             i0 += 1
     return eigenvalue_array
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left) 
@@ -115,12 +115,12 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
     labels = ax.get_xticklabels() + ax.get_yticklabels()
     [label.set_fontname('Times New Roman') for label in labels]
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -154,7 +154,7 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_nested_Wilson_loop.py

@@ -174,7 +174,7 @@ def get_nu_y_vector(kx, ky_array):
     nu_y_vector_2 = eigenvector[:, np.argsort(np.real(nu_y))[1]]
     return nu_y_vector_1, nu_y_vector_2
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left) 
@@ -193,7 +193,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
     labels = ax.get_xticklabels() + ax.get_yticklabels()
     [label.set_fontname('Times New Roman') for label in labels]
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2022.08.03_Landau_levels_of_honeycomb_lattice/Landau_levels_of_honeycomb_lattice.py

@@ -95,7 +95,7 @@ def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function, print
     return eigenvalue_array
 
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
@@ -114,7 +114,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
             y_max=max(y_array)
         ax.set_ylim(y_min, y_max)
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_Wilson_loop_(function_form).py

@@ -85,7 +85,7 @@ def calculate_berry_curvature_with_wilson_loop(hamiltonian_function, k_min=-math
     return k_array, berry_curvature_array
 
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -119,13 +119,13 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')
 
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
@@ -144,7 +144,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
             y_max=max(y_array)
         ax.set_ylim(y_min, y_max)
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_Wilson_loop_for_degenerate_case_(function_form).py

@@ -108,7 +108,7 @@ def calculate_berry_curvature_with_wilson_loop_for_degenerate_case(hamiltonian_f
     return k_array, berry_curvature_array
 
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -142,13 +142,13 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')
 
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
@@ -167,7 +167,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
             y_max=max(y_array)
         ax.set_ylim(y_min, y_max)
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_the_efficient_method_(function_form).py

@@ -72,7 +72,7 @@ def calculate_berry_curvature_with_efficient_method(hamiltonian_function, k_min=
     return k_array, berry_curvature_array
 
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -106,13 +106,13 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')
 
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
@@ -131,7 +131,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
             y_max=max(y_array)
         ax.set_ylim(y_min, y_max)
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')

academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_the_efficient_method_for_degenerate_case_(function_form).py

@@ -114,7 +114,7 @@ def calculate_berry_curvature_with_efficient_method_for_degenerate_case(hamilton
     return k_array, berry_curvature_array
 
 
-def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
+def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100): 
     import matplotlib.pyplot as plt
     from matplotlib import cm
     from matplotlib.ticker import LinearLocator
@@ -148,13 +148,13 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
     for l in cbar.ax.yaxis.get_ticklabels():
         l.set_family('Times New Roman')
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')
 
 
-def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', format='jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
+def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2): 
     import matplotlib.pyplot as plt
     fig, ax = plt.subplots()
     plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
@@ -173,7 +173,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labels
             y_max=max(y_array)
         ax.set_ylim(y_min, y_max)
     if save == 1:
-        plt.savefig(filename+'.'+format, dpi=dpi) 
+        plt.savefig(filename+file_format, dpi=dpi) 
     if show == 1:
         plt.show()
     plt.close('all')