import os import tkinter from tkinter.scrolledtext import ScrolledText import tkinter.messagebox from newtkinter import askopenfilename, asksaveasfilename, askdirectory import chardet import webbrowser import machinelearning.controller import machinelearning.template calculation_list = [] calculation_method = [] PATH = os.getcwd() sheet_list = [] merge_list = [] learner_controller = machinelearning.controller.MachineLearner() SCREEN = tkinter.Tk() gui_width = 13 # 标准宽度 gui_height = 2 row = 0 column = 0 bg_color = "#FFFAFA" # 主颜色 botton_color = "#FFFAFA" # 按钮颜色 word_color = "#000000" # 文字颜色 SCREEN["bg"] = bg_color FONT = ("黑体", 11) # 设置字体 learn_dict = {} class UIAPI: @staticmethod def get_split_shape_list_gui(): try: split_shape_list = eval(f"[{shape.get()}]", {})[0] except BaseException: split_shape_list = 2 return split_shape_list @staticmethod def get_reval_type_gui(): return processing_type.get() @staticmethod def update_sheet_box_gui(): global SCREEN, sheet_box, sheet_list sheet_list = list(learner_controller.get_form().keys()) sheet_box.delete(0, tkinter.END) sheet_box.insert(tkinter.END, *sheet_list) @staticmethod def creat_text_sheet_gui(data, name): global bg_color new_top = tkinter.Toplevel(bg=bg_color) new_top.title(name) new_top.geometry("+10+10") # 设置所在位置 text = ScrolledText(new_top, font=("黑体", 13), height=50) text.pack(fill=tkinter.BOTH) text.insert("0.0", data) text.config(state=tkinter.DISABLED) new_top.resizable(width=False, height=False) @staticmethod def add_python_gui(): python_dir = askopenfilename( title="选择载入的py", filetypes=[("Python", ".py"), ("Txt", ".txt")] ) name = sheet_name.get().replace(" ", "") if name == "": name = os.path.splitext(os.path.split(python_dir)[1])[0] with open(python_dir, "r") as f: code = f.read() return code, name @staticmethod def get_data_name_gui(get_from_box=True, is_x_data=True): # 获得名字统一接口 global sheet_list, sheet_box, x_data if get_from_box: try: return sheet_list[sheet_box.curselection()[0]] except BaseException: try: return sheet_list[0] except BaseException: return None else: try: if is_x_data: return x_data.get() else: return y_data.get() except BaseException: return None @staticmethod def add_csv_gui(): csv_dir = askopenfilename(title="选择载入的CSV", filetypes=[("CSV", ".csv")]) the_sep = sep.get() the_encoding = encoding.get() must_str = bool(dtype_str.get()) name = sheet_name.get().replace(" ", "") if name == "": name = os.path.splitext(os.path.split(csv_dir)[1])[0] if the_encoding == "": with open(csv_dir, "rb") as f: the_encoding = chardet.detect(f.read())["encoding"] if the_sep == "": the_sep = "," return csv_dir, name, the_encoding, must_str, the_sep @staticmethod def to_csv_gui(): save_dir = asksaveasfilename(title="选择保存的CSV", filetypes=[("CSV", ".csv")]) csv_sep = sep.get() name = UIAPI.get_data_name_gui() return save_dir, name, csv_sep @staticmethod def update_leaner_gui(): global learn_dict, learner_box learn_dict = learner_controller.return_learner() learner_box.delete(0, tkinter.END) learner_box.insert(tkinter.END, *learn_dict.keys()) @staticmethod def set_x_data_gui(): global x_data x_data.set(UIAPI.get_data_name_gui()) @staticmethod def set_y_data_gui(): global y_data y_data.set(UIAPI.get_data_name_gui()) @staticmethod def set_learner_gui(): global learner_output learner_output.set(UIAPI.get_learner_gui(True)) @staticmethod def get_learner_gui(return_box=False): global learn_dict, learner_box, learner_output if return_box: try: return list(learn_dict.keys())[learner_box.curselection()[0]] except BaseException: try: return list(learn_dict.keys)[0] except BaseException: return UIAPI.get_learner_gui(False) else: try: return learner_output.get() except BaseException: return None @staticmethod def show_score_gui(message): tkinter.messagebox.showinfo("完成", message) @staticmethod def get_learner_parameters_gui(): global learner_parameters return learner_parameters.get("0.0", tkinter.END) @staticmethod def get_merge_box_index_gui(): return merge_box.curselection()[0] @staticmethod def update_merge_box_gui(): global merge_list, merge_box merge_box.delete(0, tkinter.END) merge_box.insert(tkinter.END, *merge_list) @staticmethod def get_merge_split_type_gui(): return processing_type.get() @staticmethod def get_shape_gui(): return eval(f"[{shape.get()}]")[0] @staticmethod def global_settings_gui(): return [bool(i.get()) for i in global_settings] @staticmethod def get_calculation_num_gui(): return eval(value.get(), {}) @staticmethod def update_calculation_box_gui(): global calculation_list, calculation_method, calculation_box calculation_box.delete(0, tkinter.END) a = ["第一参数", "第二参数"] b = ["参数", "矩阵"] calculation_box.insert( tkinter.END, *[ f"{a[i]} {calculation_list[i]} {b[calculation_method[i]]}" for i in range(len(calculation_list)) ], ) @staticmethod def get_calculation_type_gui(): return calculation_type.get() class API: @staticmethod def add_reverse_fast_fourier2(): # 添加Lenear的核心 API.add_leaner("[2]Reverse_Fast_Fourier") @staticmethod def add_reverse_fast_fourier(): # 添加Lenear的核心 API.add_leaner("Reverse_Fast_Fourier") @staticmethod def add_fast_fourier(): # 添加Lenear的核心 API.add_leaner("Fast_Fourier") @staticmethod def curve_fitting(): file_dir = askopenfilename(title="导入参数") with open(file_dir, "r") as f: learner_controller.add_curve_fitting(f.read()) UIAPI.update_leaner_gui() @staticmethod def show_clustering_score(): API.show_score(2) @staticmethod def show_regression_score(): API.show_score(1) @staticmethod def show_class_score(): API.show_score(0) @staticmethod def show_score(func): learner = UIAPI.get_learner_gui(True) save_dir = askdirectory(title="选择保存位置") data = learner_controller.model_evaluation( learner, save_dir, UIAPI.get_data_name_gui(False, True), UIAPI.get_data_name_gui(False, False), func, ) webbrowser.open(data[0]) webbrowser.open(data[1]) # 还可以打开文件管理器 UIAPI.update_sheet_box_gui() @staticmethod def calculation(): global calculation_list, calculation_method func = UIAPI.get_calculation_type_gui() if len(calculation_list) == 2 and 1 in calculation_method: learner_controller.calculation_matrix( calculation_list, calculation_method, func ) UIAPI.update_sheet_box_gui() @staticmethod def add_calculation_core(num, type_): if len(calculation_list) == 2: del calculation_list[0] del calculation_method[0] calculation_list.append(num) calculation_method.append(type_) @staticmethod def add_calculation_number(): API.add_calculation_core(UIAPI.get_calculation_num_gui(), 0) UIAPI.update_calculation_box_gui() @staticmethod def add_calculation_object(): name = UIAPI.get_data_name_gui() API.add_calculation_core(name, 1) UIAPI.update_calculation_box_gui() @staticmethod def del_leaner(): learn = UIAPI.get_learner_gui(True) set_learne = UIAPI.get_learner_gui(False) # 获取学习器Learner if set_learne != learn: learner_controller.del_leaner(learn) UIAPI.update_leaner_gui() @staticmethod def global_seeting(): args = UIAPI.global_settings_gui() machinelearning.template.set_global(*args) @staticmethod def reshape(): numpy_shape = UIAPI.get_shape_gui() learner_controller.reshape(UIAPI.get_data_name_gui(), numpy_shape) UIAPI.update_sheet_box_gui() @staticmethod def transpose(): try: func = UIAPI.get_shape_gui() except BaseException: func = None learner_controller.transpose(UIAPI.get_data_name_gui(), func) UIAPI.update_sheet_box_gui() @staticmethod def del_ndim(): learner_controller.del_ndim(UIAPI.get_data_name_gui()) UIAPI.update_sheet_box_gui() @staticmethod def reval(): global learner_controller reval_type = UIAPI.get_reval_type_gui() learner_controller.reval(UIAPI.get_data_name_gui(), reval_type) UIAPI.update_sheet_box_gui() @staticmethod def two_split(): split_type = UIAPI.get_merge_split_type_gui() learner_controller.two_split(UIAPI.get_data_name_gui(), shape.get(), split_type) UIAPI.update_sheet_box_gui() @staticmethod def split(): global learner_controller, shape split_type = UIAPI.get_merge_split_type_gui() split_shape_list = UIAPI.get_split_shape_list_gui() learner_controller.split(UIAPI.get_data_name_gui(), split_shape_list, split_type) UIAPI.update_sheet_box_gui() @staticmethod def merge(): if len(merge_list) < 1: return False merge_type = UIAPI.get_merge_split_type_gui() learner_controller.merge(merge_list, merge_type) UIAPI.update_sheet_box_gui() @staticmethod def merge_del(): del merge_list[UIAPI.get_merge_box_index_gui()] UIAPI.update_merge_box_gui() @staticmethod def merge_add(): merge_list.append(UIAPI.get_data_name_gui()) UIAPI.update_merge_box_gui() @staticmethod def visualization_results(): learner = UIAPI.get_learner_gui(True) save_dir = askdirectory(title="选择保存位置") data = learner_controller.model_visualization(learner, save_dir) webbrowser.open(data[0]) webbrowser.open(data[1]) # 还可以打开文件管理器 UIAPI.update_sheet_box_gui() @staticmethod def score_learner(): learner = UIAPI.get_learner_gui() score = learner_controller.score( UIAPI.get_data_name_gui(False, True), UIAPI.get_data_name_gui(False, False), learner ) UIAPI.show_score_gui(f"针对测试数据评分结果为:{score}") @staticmethod def predict_learner(): learner = UIAPI.get_learner_gui() data = learner_controller.predict(UIAPI.get_data_name_gui(False, True), learner) title = f"CoTan数据处理 学习器:{learner}" UIAPI.creat_text_sheet_gui(data, title) UIAPI.update_sheet_box_gui() @staticmethod def fit_learner(): learner = UIAPI.get_learner_gui() try: split = float(data_split.get()) if split < 0 or 1 < split: raise Exception except BaseException: split = 0.3 socore = learner_controller.fit_model( UIAPI.get_data_name_gui(False, True), UIAPI.get_data_name_gui(False, False), learner, Text=UIAPI.get_learner_parameters_gui(), split=split, ) UIAPI.show_score_gui( f"针对训练数据({(1 - split) * 100}%)评分结果为:{socore[0]}\n" f"针对测试数据评分({split * 100}%)结果为:{socore[1]}", ) @staticmethod def add_statistics(): # 添加Lenear的核心 API.add_leaner("Statistics") @staticmethod def add_correlation(): API.add_leaner("Correlation") @staticmethod def add_matrix_scatter(): API.add_leaner("MatrixScatter") @staticmethod def add_view_data(): learner_controller.add_view_data( UIAPI.get_learner_gui(), parameters=UIAPI.get_learner_parameters_gui() ) UIAPI.update_leaner_gui() @staticmethod def add_cluster_tree(): API.add_leaner("ClusterTree") @staticmethod def add_feature_y_x(): API.add_leaner("FeatureY-X") @staticmethod def add_numpy_to_heatmap(): API.add_leaner("HeatMap") @staticmethod def add_predictive_heatmap_more(): # 添加Lenear的核心 learner_controller.add_predictive_heat_map_more( UIAPI.get_learner_gui(), parameters=UIAPI.get_learner_parameters_gui() ) UIAPI.update_leaner_gui() @staticmethod def add_predictive_heatmap(): # 添加Lenear的核心 learner_controller.add_predictive_heat_map( UIAPI.get_learner_gui(), parameters=UIAPI.get_learner_parameters_gui() ) UIAPI.update_leaner_gui() @staticmethod def add_feature_scatter_class_all(): API.add_leaner("FeatureScatterClass_all") @staticmethod def add_feature_scatter_all(): API.add_leaner("FeatureScatter_all") @staticmethod def add_feature_scatter_class(): API.add_leaner("FeatureScatterClass") @staticmethod def add_feature_scatter(): API.add_leaner("FeatureScatter") @staticmethod def add_class_bar(): API.add_leaner("ClassBar") @staticmethod def add_dbscan(): API.add_leaner("DBSCAN") @staticmethod def add_agglomerative(): API.add_leaner("Agglomerative") @staticmethod def add_k_means(): API.add_leaner("k-means") @staticmethod def add_mlp_class(): API.add_leaner("MLP_class") @staticmethod def add_mlp(): API.add_leaner("MLP") @staticmethod def add_svr(): API.add_leaner("SVR") @staticmethod def add_svc(): API.add_leaner("SVC") @staticmethod def add_gradient_tree(): API.add_leaner("GradientTree") @staticmethod def add_gradient_tree_class(): API.add_leaner("GradientTree_class") @staticmethod def add_tsne(): API.add_leaner("t-SNE") @staticmethod def add_nmf(): API.add_leaner("NMF") @staticmethod def add_lda(): API.add_leaner("LDA") @staticmethod def add_kpca(): API.add_leaner("KPCA") @staticmethod def add_rpca(): API.add_leaner("RPCA") @staticmethod def add_pca(): API.add_leaner("PCA") @staticmethod def add_missed(): API.add_leaner("Missed") @staticmethod def add_label(): API.add_leaner("Label") @staticmethod def add_one_hot_encoder(): API.add_leaner("OneHotEncoder") @staticmethod def add_discretization(): API.add_leaner("Discretization") @staticmethod def add_binarizer(): API.add_leaner("Binarizer") @staticmethod def add_regularization(): API.add_leaner("Regularization") @staticmethod def add_fuzzy_quantization(): API.add_leaner("Fuzzy_quantization") @staticmethod def add_mapzoom(): API.add_leaner("Mapzoom") @staticmethod def add_sigmod_scaler(): API.add_leaner("sigmodScaler") @staticmethod def add_decimal_scaler(): API.add_leaner("decimalScaler") @staticmethod def add_atan_scaler(): API.add_leaner("atanScaler") @staticmethod def add_log_scaler(): API.add_leaner("LogScaler") @staticmethod def add_min_max_scaler(): API.add_leaner("MinMaxScaler") @staticmethod def add_z_score(): API.add_leaner("Z-Score") @staticmethod def add_forest(): API.add_leaner("Forest") @staticmethod def add_forest_class(): API.add_leaner("Forest_class") @staticmethod def add_tree_class(): API.add_leaner("Tree_class") @staticmethod def add_tree(): API.add_leaner("Tree") @staticmethod def add_select_k_best(): API.add_leaner("SelectKBest") @staticmethod def add_knn_class(): API.add_leaner("Knn_class") @staticmethod def add_logistic_regression(): API.add_leaner("LogisticRegression") @staticmethod def add_lasso(): API.add_leaner("Lasso") @staticmethod def add_variance(): API.add_leaner("Variance") @staticmethod def add_knn(): API.add_leaner("Knn") @staticmethod def add_ridge(): API.add_leaner("Ridge") @staticmethod def add_line(): API.add_leaner("Line") @staticmethod def add_select_from_model(): # 添加Lenear的核心 learner_controller.add_select_from_model( UIAPI.get_learner_gui(), parameters=UIAPI.get_learner_parameters_gui() ) UIAPI.update_leaner_gui() @staticmethod def add_leaner(learner_type): # 添加Lenear的核心 learner_controller.add_learner( learner_type, parameters=UIAPI.get_learner_parameters_gui() ) UIAPI.update_leaner_gui() @staticmethod def to_html_one(): html_dir = f"{PATH}/$Show_Sheet.html" try: name = UIAPI.get_data_name_gui() if name is None: raise Exception learner_controller.to_html_one(name, html_dir) webbrowser.open(html_dir) except BaseException: pass @staticmethod def to_html(): html_dir = f"{PATH}/$Show_Sheet.html" try: name = UIAPI.get_data_name_gui() if name is None: raise Exception learner_controller.to_html(name, html_dir, to_html_type.get()) webbrowser.open(html_dir) except BaseException: pass @staticmethod def to_csv(): learner_controller.to_csv(*UIAPI.to_csv_gui()) UIAPI.update_sheet_box_gui() @staticmethod def add_csv(): learner_controller.read_csv(*UIAPI.add_csv_gui()) UIAPI.update_sheet_box_gui() @staticmethod def add_python(): code, name = UIAPI.add_python_gui() learner_controller.add_python(code, name) UIAPI.update_sheet_box_gui() def machine_learning(): global SCREEN SCREEN.mainloop() SCREEN.title("CoTan机器学习") SCREEN.resizable(width=False, height=False) SCREEN.geometry("+10+10") # 设置所在位置 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="导入CSV", command=API.add_csv, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="导入Py", command=API.add_python, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="导出CSV", command=API.to_csv, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Label( SCREEN, text="表格名称:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row ) # 设置说明 sheet_name = tkinter.Entry(SCREEN, width=gui_width) sheet_name.grid(column=column + 1, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="删除表格", font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="查看表格", command=API.to_html, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="查看单一表格", command=API.to_html_one, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 to_html_type = tkinter.IntVar() # 正，负，0 lable = ["选项卡型", "可移动型", "自适应型"] # 复选框 for i in range(3): tkinter.Radiobutton( SCREEN, bg=bg_color, fg=word_color, activebackground=bg_color, activeforeground=word_color, selectcolor=bg_color, text=lable[i], variable=to_html_type, value=i, ).grid(column=column + i, row=row, sticky=tkinter.W) dtype_str = tkinter.IntVar() row += 1 tkinter.Label( SCREEN, text="编码方式:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row ) # 设置说明 encoding = tkinter.Entry(SCREEN, width=gui_width) encoding.grid(column=column + 1, row=row, sticky=tkinter.E + tkinter.W) buttom = tkinter.Checkbutton( SCREEN, bg=bg_color, fg=word_color, activebackground=bg_color, activeforeground=word_color, selectcolor=bg_color, text="字符串类型", variable=dtype_str, ) buttom.grid(column=column + 2, row=row, sticky=tkinter.W) row += 1 tkinter.Label( SCREEN, text="CSV分隔符:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row ) # 设置说明 sep = tkinter.Entry(SCREEN, width=gui_width) sep.grid(column=column + 1, columnspan=2, row=row, sticky=tkinter.E + tkinter.W) row += 1 sheet_box = tkinter.Listbox(SCREEN, width=gui_width * 3, height=gui_height * 10) # 显示符号 sheet_box.grid( column=column, row=row, columnspan=3, rowspan=10, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N, ) # 422 row += 10 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="添加数据", command=API.merge_add, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="删除数据", command=API.merge_del, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="组合数据", command=API.merge, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 merge_box = tkinter.Listbox(SCREEN, width=gui_width * 3, height=gui_height * 3) # 显示符号 merge_box.grid( column=column, row=row, columnspan=3, rowspan=3, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N, ) row += 3 processing_type = tkinter.IntVar() # 正，负，0 lable = ["横向处理", "纵向处理", "深度处理"] # 复选框 for i in range(3): tkinter.Radiobutton( SCREEN, bg=bg_color, fg=word_color, activebackground=bg_color, activeforeground=word_color, selectcolor=bg_color, text=lable[i], variable=processing_type, value=i, ).grid(column=column + i, row=row, sticky=tkinter.W) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数据切片", command=API.two_split, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数据分割", command=API.split, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Label( SCREEN, text="重塑形状:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid(column=column, row=row) shape = tkinter.Entry(SCREEN, width=gui_width) shape.grid(column=column + 1, row=row, sticky=tkinter.E + tkinter.W) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵重塑", command=API.reshape, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵伸展", command=API.reval, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵降维", command=API.del_ndim, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵转置", command=API.transpose, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) column += 3 tkinter.Label(SCREEN, text="", bg=bg_color, fg=word_color, font=FONT, width=1).grid( column=column, row=row ) # 设置说明 column += 1 row = 0 tkinter.Label( SCREEN, text="【机器学习】", bg=bg_color, fg=word_color, font=FONT, width=gui_width * 3, height=gui_height, ).grid( column=column, columnspan=3, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) # 设置说明 row += 1 x_data = tkinter.StringVar() put = tkinter.Entry(SCREEN, width=gui_width * 2, textvariable=x_data) put.grid(column=column, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) put["state"] = "readonly" tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="选用X集", command=UIAPI.set_x_data_gui, font=FONT, width=gui_width, height=gui_height, ).grid(column=column + 2, row=row, sticky=tkinter.E + tkinter.W) y_data = tkinter.StringVar() row += 1 put = tkinter.Entry(SCREEN, width=gui_width * 2, textvariable=y_data) put.grid(column=column, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) put["state"] = "readonly" tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="选用Y集", command=UIAPI.set_y_data_gui, font=FONT, width=gui_width, height=gui_height, ).grid(column=column + 2, row=row, sticky=tkinter.E + tkinter.W) learner_output = tkinter.StringVar() row += 1 put = tkinter.Entry(SCREEN, width=gui_width * 2, textvariable=learner_output) put.grid(column=column, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) put["state"] = "readonly" tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="选用学习器", command=UIAPI.set_learner_gui, font=FONT, width=gui_width, height=gui_height, ).grid(column=column + 2, row=row, sticky=tkinter.E + tkinter.W) row += 1 tkinter.Label( SCREEN, text="测试数据分割:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid(column=column, row=row) data_split = tkinter.Entry(SCREEN, width=gui_width * 2) data_split.grid(column=column + 1, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) row += 1 learner_box = tkinter.Listbox(SCREEN, width=gui_width * 3, height=gui_height * 5) learner_box.grid( column=column, row=row, columnspan=3, rowspan=5, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N, ) row += 5 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="导入学习器", font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="查看数据", command=API.visualization_results, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="删除学习器", command=API.del_leaner, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="训练机器", command=API.fit_learner, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="测试机器", command=API.score_learner, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数据预测", command=API.predict_learner, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="单一变量特征选择", command=API.add_select_k_best, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="映射标准化", command=API.add_mapzoom, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="方差特征选择", command=API.add_variance, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="使用学习器筛选", command=API.add_select_from_model, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="模糊量化标准化", command=API.add_fuzzy_quantization, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="Z-score", command=API.add_z_score, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="离差标准化", command=API.add_min_max_scaler, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="Log变换", command=API.add_log_scaler, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="atan变换", command=API.add_atan_scaler, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="小数定标准化", command=API.add_decimal_scaler, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="Sigmod变换", command=API.add_sigmod_scaler, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="正则化", command=API.add_regularization, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="二值离散", command=API.add_binarizer, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="多值离散", command=API.add_discretization, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="独热编码", command=API.add_one_hot_encoder, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数字编码", command=API.add_label, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="缺失填充", command=API.add_missed, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="PCA降维", command=API.add_pca, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="RPCA降维", command=API.add_rpca, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="KPCA升维", command=API.add_kpca, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="LDA降维", command=API.add_lda, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="NMF降维", command=API.add_nmf, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="t-SNE", command=API.add_tsne, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="线性回归", command=API.add_line, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="岭回归", command=API.add_ridge, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="Lasso", command=API.add_lasso, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="逻辑回归", command=API.add_logistic_regression, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="K邻近预测", command=API.add_knn, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="K邻近分类", command=API.add_knn_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="梯度回归树回归", command=API.add_gradient_tree, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="决策树回归", command=API.add_tree, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="决策树分类", command=API.add_tree_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="梯度回归树分类", command=API.add_gradient_tree_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="随机森林回归", command=API.add_forest, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="随机森林分类", command=API.add_forest_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) column += 3 tkinter.Label(SCREEN, text="", bg=bg_color, fg=word_color, font=FONT, width=1).grid( column=column, row=row ) # 设置说明 column += 1 row = 0 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="多层感知机回归", command=API.add_mlp, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="多层感知机分类", command=API.add_mlp_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="随机森林分类", command=API.add_forest_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="支持向量机分类:SVC", command=API.add_svc, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="回归:SVR", command=API.add_svr, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="k-means", command=API.add_k_means, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="凝聚聚类", command=API.add_agglomerative, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="DBSCAN", command=API.add_dbscan, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="特征分类图", command=API.add_class_bar, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="临近特征回归图", command=API.add_feature_scatter, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="临近特征分类图", command=API.add_feature_scatter_class, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="所有特征回归图", command=API.add_feature_scatter_all, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="所有特征分类图", command=API.add_feature_scatter_class_all, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="临近特征预测图", command=API.add_predictive_heatmap, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="所有特征预测图", command=API.add_predictive_heatmap_more, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵热力图", command=API.add_numpy_to_heatmap, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数据y-x散点图", command=API.add_feature_y_x, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="聚类树状图", command=API.add_cluster_tree, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="获取数据", command=API.add_view_data, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵散点图", command=API.add_matrix_scatter, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="特征相关性", command=API.add_correlation, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="曲线拟合", command=API.curve_fitting, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="快速傅里叶", command=API.add_fast_fourier, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="数据统计", command=API.add_statistics, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="双逆向傅里叶", command=API.add_reverse_fast_fourier2, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="逆向傅里叶", command=API.add_reverse_fast_fourier, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="分类模型评估", command=API.show_class_score, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="回归模型评估", command=API.show_regression_score, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="聚类模型评估", command=API.show_clustering_score, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Label( SCREEN, text="【学习器配置】", bg=bg_color, fg=word_color, font=FONT, width=gui_width * 3, height=gui_height, ).grid( column=column, columnspan=3, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) # 设置说明 row += 1 global_settings = [] lable = ["聚类仅邻近特征", "导出单独页面", "导出表格CSV"] # 复选框 for i in range(3): global_settings.append(tkinter.IntVar()) tkinter.Checkbutton( SCREEN, bg=bg_color, fg=word_color, activebackground=bg_color, activeforeground=word_color, selectcolor=bg_color, text=lable[i], variable=global_settings[-1], command=API.global_seeting, ).grid(column=column + i, row=row, sticky=tkinter.W) row += 1 lable = ["导出模型", "压缩为tar.gz", "创建新目录"] # 复选框 for i in range(3): global_settings.append(tkinter.IntVar()) tkinter.Checkbutton( SCREEN, bg=bg_color, fg=word_color, activebackground=bg_color, activeforeground=word_color, selectcolor=bg_color, text=lable[i], variable=global_settings[-1], command=API.global_seeting, ).grid(column=column + i, row=row, sticky=tkinter.W) for i in global_settings[1:]: i.set(1) API.global_seeting() row += 1 learner_parameters = tkinter.Text(SCREEN, width=gui_width * 3, height=gui_height * 6) learner_parameters.grid( column=column, row=row, columnspan=3, rowspan=6, sticky=tkinter.E + tkinter.W + tkinter.N + tkinter.S, ) row += 6 tkinter.Label( SCREEN, text="【矩阵运算】", bg=bg_color, fg=word_color, font=FONT, width=gui_width * 3, height=gui_height, ).grid( column=column, columnspan=3, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) # 设置说明 row += 1 calculation_box = tkinter.Listbox(SCREEN, width=gui_width * 3, height=gui_height * 1) calculation_box.grid( column=column, row=row, columnspan=3, rowspan=1, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N, ) row += 1 tkinter.Label( SCREEN, text="运算类型:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid(column=column, row=row) calculation_type = tkinter.Entry(SCREEN, width=gui_width * 2) calculation_type.grid( column=column + 1, row=row, columnspan=2, sticky=tkinter.E + tkinter.W ) row += 1 tkinter.Label( SCREEN, text="键入参数:", bg=bg_color, fg=word_color, font=FONT, width=gui_width, height=gui_height, ).grid(column=column, row=row) value = tkinter.Entry(SCREEN, width=gui_width * 2) value.grid(column=column + 1, row=row, columnspan=2, sticky=tkinter.E + tkinter.W) row += 1 tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="选择参数", command=API.add_calculation_object, font=FONT, width=gui_width, height=gui_height, ).grid( column=column, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="键入参数", command=API.add_calculation_number, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 1, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, ) tkinter.Button( SCREEN, bg=botton_color, fg=word_color, text="矩阵运算", command=API.calculation, font=FONT, width=gui_width, height=gui_height, ).grid( column=column + 2, row=row, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N, )