0.1.155
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| Metadata-Version: 2.2 | ||||
| Name: guan | ||||
| Version: 0.1.154 | ||||
| Version: 0.1.155 | ||||
| Summary: An open source python package | ||||
| Home-page: https://py.guanjihuan.com | ||||
| Author: guanjihuan | ||||
|   | ||||
| @@ -8,12 +8,14 @@ src/guan/Hamiltonian_of_examples.py | ||||
| src/guan/__init__.py | ||||
| src/guan/band_structures_and_wave_functions.py | ||||
| src/guan/basic_functions.py | ||||
| src/guan/custom_classes.py | ||||
| src/guan/data_processing.py | ||||
| src/guan/decorators.py | ||||
| src/guan/density_of_states.py | ||||
| src/guan/deprecated.py | ||||
| src/guan/figure_plotting.py | ||||
| src/guan/file_reading_and_writing.py | ||||
| src/guan/functions_using_objects_of_custom_classes.py | ||||
| src/guan/machine_learning.py | ||||
| src/guan/quantum_transport.py | ||||
| src/guan/topological_invariant.py | ||||
|   | ||||
| @@ -13,5 +13,7 @@ from .file_reading_and_writing import * | ||||
| from .figure_plotting import * | ||||
| from .data_processing import * | ||||
| from .decorators import * | ||||
| from .custom_classes import * | ||||
| from .functions_using_objects_of_custom_classes import * | ||||
| from .deprecated import * | ||||
| statistics_of_guan_package() | ||||
							
								
								
									
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								PyPI/src/guan/custom_classes.py
									
									
									
									
									
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								PyPI/src/guan/custom_classes.py
									
									
									
									
									
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							| @@ -0,0 +1,11 @@ | ||||
| # Module: custom_classes | ||||
|  | ||||
| # 原子类 | ||||
| class Atom: | ||||
|     def __init__(self, name='atom', index=0, x=0, y=0, z=0, energy=0): | ||||
|         self.name = name | ||||
|         self.index = index | ||||
|         self.x = x | ||||
|         self.y = y | ||||
|         self.z = z | ||||
|         self.energy = energy | ||||
| @@ -12,6 +12,38 @@ def import_plt_and_start_fig_ax(adjust_bottom=0.2, adjust_left=0.2, labelsize=20 | ||||
|         [label.set_fontname('Times New Roman') for label in labels] | ||||
|     return plt, fig, ax | ||||
|  | ||||
| # 导入plt, fig, ax(不显示坐标) | ||||
| def import_plt_and_start_fig_ax_without_axis(): | ||||
|     import matplotlib.pyplot as plt | ||||
|     fig, ax = plt.subplots() | ||||
|     plt.subplots_adjust(left=0, bottom=0, right=1, top=1) | ||||
|     plt.axis('off') | ||||
|     return plt, fig, ax | ||||
|  | ||||
| # 保存图片为所有常见的格式 | ||||
| def savefig_with_all_formats(plt, filename, more_dpi=1, tiff=0): | ||||
|     plt.savefig(filename+'.eps') | ||||
|     plt.savefig(filename+'.svg') | ||||
|     plt.savefig(filename+'.pdf') | ||||
|     plt.savefig(filename+'.jpg') | ||||
|     plt.savefig(filename+'.png') | ||||
|     if tiff: | ||||
|         plt.savefig(filename+'.tiff') | ||||
|     if more_dpi: | ||||
|         try: | ||||
|             plt.savefig(filename+'_dpi=300.jpg', dpi=300) | ||||
|             plt.savefig(filename+'_dpi=600.jpg', dpi=600) | ||||
|             plt.savefig(filename+'_dpi=1000.jpg', dpi=1000) | ||||
|             plt.savefig(filename+'_dpi=300.png', dpi=300) | ||||
|             plt.savefig(filename+'_dpi=600.png', dpi=600) | ||||
|             plt.savefig(filename+'_dpi=1000.png', dpi=1000) | ||||
|             if tiff: | ||||
|                 plt.savefig(filename+'_dpi=300.tiff', dpi=300) | ||||
|                 plt.savefig(filename+'_dpi=600.tiff', dpi=600) | ||||
|                 plt.savefig(filename+'_dpi=1000.tiff', dpi=1000) | ||||
|         except: | ||||
|             pass | ||||
|  | ||||
| # 基于plt, fig, ax画图 | ||||
| def plot_without_starting_fig_ax(plt, fig, ax, x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, style='', y_min=None, y_max=None, linewidth=None, markersize=None, color=None, fontfamily='Times New Roman'):  | ||||
|     if color==None: | ||||
|   | ||||
							
								
								
									
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								PyPI/src/guan/functions_using_objects_of_custom_classes.py
									
									
									
									
									
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								PyPI/src/guan/functions_using_objects_of_custom_classes.py
									
									
									
									
									
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							| @@ -0,0 +1,21 @@ | ||||
| # functions_using_objects_of_custom_classes | ||||
|  | ||||
| # 从原子对象列表中获取 (x, y) 坐标数组 | ||||
| def get_coordinate_array_from_atom_object_list(atom_object_list): | ||||
|     coordinate_array = [] | ||||
|     for atom in atom_object_list: | ||||
|         x = atom.x | ||||
|         y = atom.y | ||||
|         coordinate_array.append([x, y]) | ||||
|     return coordinate_array | ||||
|  | ||||
| # 根据原子对象列表来初始化哈密顿量 | ||||
| def initialize_hamiltonian_from_atom_object_list(atom_object_list): | ||||
|     import numpy as np | ||||
|     import guan | ||||
|     dim = guan.dimension_of_array(atom_object_list[0].energy) | ||||
|     num = len(atom_object_list) | ||||
|     hamiltonian = np.zeros((dim*num, dim*num)) | ||||
|     for i0 in range(num): | ||||
|         hamiltonian[i0*dim+0:i0*dim+dim, i0*dim+0:i0*dim+dim] = atom_object_list[i0].energy | ||||
|     return hamiltonian | ||||
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