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guanjihuan 2022-09-12 04:53:36 +08:00
parent 4ef5ea4f73
commit 1d29ee5e29
12 changed files with 34 additions and 34 deletions
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4
academic_codes/2021.01.10_Berry_curvature_distribution_of_graphene_under_broken_inversion_symmery/Berry_curvature_distribution_of_graphene_under_broken_inversion_symmery.py
View File

@ -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')

4
academic_codes/2021.04.24_Hofstadter_butterfly_of_graphene_ribbon/Hofstadter_butterfly_of_graphene_ribbon.py
View File

@ -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')

4
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
View File

@ -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')

4
academic_codes/2021.08.09_flat_bands_of_kagome lattice/flat_bands_of_kagome lattice.py
View File

@ -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')

4
academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_Wilson_loop.py
View File

@ -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')

8
academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_bands.py
View File

@ -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')

4
academic_codes/2021.12.09_nested_Wilson_loop_of_BBH_model/BBH_nested_Wilson_loop.py
View File

@ -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')

4
academic_codes/2022.08.03_Landau_levels_of_honeycomb_lattice/Landau_levels_of_honeycomb_lattice.py
View File

@ -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')

8
academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_Wilson_loop_(function_form).py
View File

@ -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')

8
academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_Wilson_loop_for_degenerate_case_(function_form).py
View File

@ -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')

8
academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_the_efficient_method_(function_form).py
View File

@ -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')

8
academic_codes/2022.08.13_Berry_curvature_distribution_in_function_form/Berry_curvature_distribution_with_the_efficient_method_for_degenerate_case_(function_form).py
View File

@ -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')