import tkinter import webbrowser from tkinter.filedialog import askopenfilename, asksaveasfilename,askdirectory import tkinter.messagebox import os import chardet from tkinter.scrolledtext import ScrolledText from Machine_learning_analysis import Learn_Numpy print('Start') def Main(): global top,ML,Form_List,PATH,bg,bbg,fg,Merge_list,Cul_list,Cul_Type Cul_list = [] Cul_Type = [] PATH = os.getcwd() Form_List = [] Merge_list = [] ML = Learn_Numpy.Machine_Learner() top = tkinter.Tk() bg = '#FFFAFA' # 主颜色 bbg = '#FFFAFA' # 按钮颜色 fg = '#000000' # 文字颜色 top["bg"] = bg FONT = ('黑体', 11) # 设置字体 top.title('CoTan机器学习') top.resizable(width=False, height=False) top.geometry('+10+10') # 设置所在位置 width_B = 13 # 标准宽度 height_B = 2 a_y = 0 a_x = 0 tkinter.Button(top, bg=bbg, fg=fg, text='导入CSV', command=Add_CSV, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='导入Py', command=Add_Python, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='导出CSV', command=to_CSV, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) global name_Input a_y += 1 tkinter.Label(top, text='表格名称:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y) # 设置说明 name_Input = tkinter.Entry(top, width=width_B) name_Input.grid(column=a_x + 1, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='删除表格', font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='查看表格', command=Show, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='查看单一表格', command=Show_One, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) global Form_BOX, Index_BOX, Column_BOX, to_HTML_Type, Seq_Input, Code_Input,str_must a_y += 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(top, bg=bg, fg=fg, activebackground=bg, activeforeground=fg, selectcolor=bg, text=lable[i], variable=to_HTML_Type, value=i).grid(column=a_x + i, row=a_y, sticky=tkinter.W) str_must = tkinter.IntVar() a_y += 1 tkinter.Label(top, text='编码方式:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y) # 设置说明 Code_Input = tkinter.Entry(top, width=width_B) Code_Input.grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W) buttom = tkinter.Checkbutton(top, bg=bg, fg=fg, activebackground=bg, activeforeground=fg, selectcolor=bg, text='字符串类型', variable=str_must) buttom.grid(column=a_x + 2, row=a_y, sticky=tkinter.W) a_y += 1 tkinter.Label(top, text='CSV分隔符:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y) # 设置说明 Seq_Input = tkinter.Entry(top, width=width_B) Seq_Input.grid(column=a_x + 1,columnspan=2, row=a_y, sticky=tkinter.E + tkinter.W) a_y += 1 Form_BOX = tkinter.Listbox(top, width=width_B * 3, height=height_B * 10) # 显示符号 Form_BOX.grid(column=a_x, row=a_y, columnspan=3, rowspan=10, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N) #422 a_y += 10 tkinter.Button(top, bg=bbg, fg=fg, text='添加数据', command=Merge_Add, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='删除数据', command=Merge_Del, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='组合数据', command=Merge, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) global Processing_type, Shape_Input, Merge_BOX a_y += 1 Merge_BOX = tkinter.Listbox(top, width=width_B * 3, height=height_B * 3) # 显示符号 Merge_BOX.grid(column=a_x, row=a_y, columnspan=3, rowspan=3, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N) a_y += 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(top,bg = bg,fg = fg,activebackground=bg,activeforeground=fg,selectcolor=bg,text=lable[i], variable=Processing_type, value=i).grid(column=a_x+i, row=a_y, sticky=tkinter.W) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='数据切片', command=Two_Split, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='数据分割', command=Split, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y,columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Label(top, text='重塑形状:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x,row=a_y) Shape_Input = tkinter.Entry(top, width=width_B) Shape_Input.grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵重塑', command=Reshape, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='矩阵伸展', command=Reval, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵降维', command=Del_Ndim, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵转置', command=T, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_x += 3 tkinter.Label(top, text='', bg=bg, fg=fg, font=FONT, width=1).grid(column=a_x, row=a_y) # 设置说明 a_x += 1 a_y = 0 tkinter.Label(top, text='【机器学习】', bg=bg, fg=fg, font=FONT, width=width_B * 3, height=height_B).grid(column=a_x, columnspan=3, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) # 设置说明 global ML_BOX, ML_OUT,X_OUT,Y_OUT a_y += 1 X_OUT = tkinter.StringVar() Put = tkinter.Entry(top, width=width_B * 2, textvariable=X_OUT) Put.grid(column=a_x, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) Put['state'] = 'readonly' tkinter.Button(top, bg=bbg, fg=fg, text='选用X集', command=set_Feature, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W) Y_OUT = tkinter.StringVar() a_y += 1 Put = tkinter.Entry(top, width=width_B * 2, textvariable=Y_OUT) Put.grid(column=a_x, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) Put['state'] = 'readonly' tkinter.Button(top, bg=bbg, fg=fg, text='选用Y集', command=set_Label, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W) ML_OUT = tkinter.StringVar() a_y += 1 Put = tkinter.Entry(top, width=width_B * 2, textvariable=ML_OUT) Put.grid(column=a_x, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) Put['state'] = 'readonly' tkinter.Button(top, bg=bbg, fg=fg, text='选用学习器', command=set_Learner, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W) global Split_Input a_y += 1 tkinter.Label(top, text='测试数据分割:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y) Split_Input = tkinter.Entry(top, width=width_B * 2) Split_Input.grid(column=a_x + 1, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) a_y += 1 ML_BOX = tkinter.Listbox(top, width=width_B * 3, height=height_B * 5) ML_BOX.grid(column=a_x, row=a_y, columnspan=3, rowspan=5, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N) a_y += 5 tkinter.Button(top, bg=bbg, fg=fg, text='导入学习器', font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='查看数据', command=Show_Args, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='删除学习器', command=Del_Leaner, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='训练机器', command=Fit_Learner, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='测试机器', command=Score_Learner, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='数据预测', command=Predict_Learner, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='单一变量特征选择', command=Add_SelectKBest, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='映射标准化', command=Add_Mapzoom, font=FONT, width=width_B, height=height_B).grid(column=a_x+2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='方差特征选择',command=Add_Variance, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='使用学习器筛选', command=Add_SelectFrom_Model, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='模糊量化标准化', command=Add_Fuzzy_quantization, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='Z-score',command=Add_Z_Score, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='离差标准化', command=Add_MinMaxScaler, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='Log变换', command=Add_LogScaler, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='atan变换',command=Add_atanScaler, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='小数定标准化', command=Add_decimalScaler, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='Sigmod变换', command=Add_sigmodScaler, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='正则化',command=Add_Regularization, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='二值离散', command=Add_Binarizer, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='多值离散', command=Add_Discretization, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='独热编码',command=Add_OneHotEncoder, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='数字编码', command=Add_Label, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='缺失填充', command=Add_Missed, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='PCA降维',command=Add_PCA, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='RPCA降维', command=Add_RPCA, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='KPCA升维', command=Add_KPCA, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='LDA降维', command=Add_LDA, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='NMF降维', command=Add_NMF, font=FONT, width=width_B, height=height_B).grid( column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='t-SNE', command=Add_TSNE, font=FONT, width=width_B, height=height_B).grid( column=a_x+2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='线性回归', command=Add_Line, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='岭回归', command=Add_Ridge, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='Lasso', command=Add_Lasso, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='逻辑回归', command=Add_LogisticRegression, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='K邻近预测', command=Add_Knn, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='K邻近分类', command=Add_Knn_Class, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='梯度回归树回归', command=Add_GradientTree, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='决策树回归',command=Add_Tree, font=FONT, width=width_B, height=height_B).grid( column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='决策树分类',command=Add_Tree_Class, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='梯度回归树分类', command=Add_GradientTree_class, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='随机森林回归', command=Add_Forest, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='随机森林分类',command=Add_Forest_class, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_x += 3 tkinter.Label(top, text='', bg=bg, fg=fg, font=FONT, width=1).grid(column=a_x, row=a_y) # 设置说明 a_x += 1 a_y = 0 tkinter.Button(top, bg=bbg, fg=fg, text='多层感知机回归', command=Add_MLP, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='多层感知机分类', command=Add_MLP_class, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='随机森林分类',command=Add_Forest_class, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='支持向量机分类:SVC', command=Add_SVC, font=FONT, width=width_B, height=height_B).grid( column=a_x, row=a_y,columnspan=2, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='回归:SVR', command=Add_SVR, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='k-means', command=Add_KMeans, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='凝聚聚类', command=Add_Agglomerative, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='DBSCAN',command=Add_DBSCAN, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='特征分类图', command=Add_ClassBar, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='临近特征回归图', command=Add_FeatureScatter, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='临近特征分类图',command=Add_FeatureScatterClass, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='所有特征回归图', command=Add_FeatureScatter_all, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='所有特征分类图', command=Add_FeatureScatterClass_all, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='临近特征预测图',command=Add_Predictive_HeatMap, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='所有特征预测图', command=Add_Predictive_HeatMap_More, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵热力图', command=Add_Numpy_To_HeatMap, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='数据y-x散点图',command=Add_FeatureY_X, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='聚类树状图', command=Add_ClusterTree, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='获取数据', command=Add_View_data, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵散点图',command=Add_MatrixScatter, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='特征相关性', command=Add_corr, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='曲线拟合', command=Curve_fitting, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='快速傅里叶',command=Add_Fast_Fourier, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='数据统计', command=Add_Des, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='双逆向傅里叶',command=Add_Reverse_Fast_Fourier2, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='逆向傅里叶',command=Add_Reverse_Fast_Fourier, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='分类模型评估', command=Show_Class_Score, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='回归模型评估', command=Show_Regression_Score, font=FONT, width=width_B, height=height_B).grid(column=a_x+1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='聚类模型评估', command=Show_Clustering_Score, font=FONT, width=width_B, height=height_B).grid( column=a_x + 2, row=a_y,sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) a_y += 1 tkinter.Label(top, text='【学习器配置】', bg=bg, fg=fg, font=FONT, width=width_B * 3, height=height_B).grid(column=a_x, columnspan=3, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) # 设置说明 global Global_Type a_y += 1 Global_Type = [] 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_Type.append(tkinter.IntVar()) tkinter.Checkbutton(top,bg = bg,fg = fg,activebackground=bg,activeforeground=fg,selectcolor=bg, text=lable[i], variable=Global_Type[-1],command=globalSeeting).grid(column=a_x+i, row=a_y, sticky=tkinter.W) a_y += 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_Type.append(tkinter.IntVar()) tkinter.Checkbutton(top,bg = bg,fg = fg,activebackground=bg,activeforeground=fg,selectcolor=bg, text=lable[i], variable=Global_Type[-1],command=globalSeeting).grid(column=a_x+i, row=a_y, sticky=tkinter.W) for i in Global_Type[1:]:i.set(1) globalSeeting() global Args_Learner a_y += 1 Args_Learner = tkinter.Text(top, width=width_B * 3, height=height_B * 6) Args_Learner.grid(column=a_x, row=a_y, columnspan=3, rowspan=6, sticky=tkinter.E + tkinter.W + tkinter.N + tkinter.S) a_y += 6 tkinter.Label(top, text='【矩阵运算】', bg=bg, fg=fg, font=FONT, width=width_B * 3, height=height_B).grid(column=a_x, columnspan=3, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) # 设置说明 global Cul_Box,CulType_Input,Value_Input a_y += 1 Cul_Box = tkinter.Listbox(top, width=width_B * 3, height=height_B * 1) Cul_Box.grid(column=a_x, row=a_y, columnspan=3, rowspan=1, sticky=tkinter.E + tkinter.W + tkinter.S + tkinter.N) a_y +=1 tkinter.Label(top, text='运算类型:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x,row=a_y) CulType_Input = tkinter.Entry(top, width=width_B * 2) CulType_Input.grid(column=a_x + 1, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) a_y +=1 tkinter.Label(top, text='键入参数:', bg=bg, fg=fg, font=FONT, width=width_B, height=height_B).grid(column=a_x,row=a_y) Value_Input = tkinter.Entry(top, width=width_B * 2) Value_Input.grid(column=a_x + 1, row=a_y, columnspan=2, sticky=tkinter.E + tkinter.W) a_y += 1 tkinter.Button(top, bg=bbg, fg=fg, text='选择参数', command=Cul_Add, font=FONT, width=width_B, height=height_B).grid(column=a_x, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='键入参数', command=Cul_Input, font=FONT, width=width_B, height=height_B).grid(column=a_x + 1, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) tkinter.Button(top, bg=bbg, fg=fg, text='矩阵运算', command=Cul_Numpy, font=FONT, width=width_B, height=height_B).grid(column=a_x + 2, row=a_y, sticky=tkinter.E + tkinter.W + tkinter.W + tkinter.S + tkinter.N) top.mainloop() def Add_Reverse_Fast_Fourier2(): # 添加Lenear的核心 Add_leaner('[2]Reverse_Fast_Fourier') def Add_Reverse_Fast_Fourier(): # 添加Lenear的核心 Add_leaner('Reverse_Fast_Fourier') def Add_Fast_Fourier(): # 添加Lenear的核心 Add_leaner('Fast_Fourier') def Curve_fitting(): Dic = askopenfilename(title='导入参数') with open(Dic,'r') as f: ML.Add_Curve_Fitting(f.read(),Text=get_Args_Learner()) Update_Leaner() def Show_Clustering_Score(): Show_Score(2) def Show_Regression_Score(): Show_Score(1) def Show_Class_Score(): Show_Score(0) def Show_Score(func): learner = get_Learner(True) Dic = askdirectory(title='选择保存位置') data = ML.Show_Score(learner,Dic,get_Name(False,True),get_Name(False,False),func) webbrowser.open(data[0]) webbrowser.open(data[1])#还可以打开文件管理器 Update_BOX() def Cul_Numpy(): global Cul_list, Cul_Type, CulType_Input func = CulType_Input.get() if len(Cul_list) == 2 and 1 in Cul_Type: ML.Cul_Numpy(Cul_list,Cul_Type,func) Update_BOX() def Add_Cul(num,type_): global Cul_list, Cul_Type if len(Cul_list) == 2: del Cul_list[0] del Cul_Type[0] Cul_list.append(num) Cul_Type.append(type_) def Update_Cul(): global Cul_list,Cul_Type,Cul_Box Cul_Box.delete(0, tkinter.END) a = ['第一参数','第二参数'] b = ['参数','矩阵'] Cul_Box.insert(tkinter.END, *[f'{a[i]} {Cul_list[i]} {b[Cul_Type[i]]}' for i in range(len(Cul_list))]) def Cul_Input(): global Cul_Box,CulType_Input,Value_Input num = eval(Value_Input.get(),{}) Add_Cul(num,0) Update_Cul() def Cul_Add(): name = get_Name() Add_Cul(name,1) Update_Cul() def Del_Leaner(): Learn = get_Learner(True) set_Learne = get_Learner(False) # 获取学习器Learner if set_Learne != Learn: ML.Del_Leaner(Learn) Update_Leaner() def globalSeeting(): global Global_Type args = [bool(i.get()) for i in Global_Type] Learn_Numpy.set_Global(*args) def Reshape(): global ML,Processing_type shape = eval(f'[{Shape_Input.get()}]')[0] ML.reShape(get_Name(),shape) Update_BOX() def T(): global ML,Processing_type,Shape_Input try: Func = eval(f'[{Shape_Input.get()}]') except: Func = None ML.T(get_Name(),Func) Update_BOX() def Del_Ndim(): global ML ML.Del_Ndim(get_Name()) Update_BOX() def Reval(): global ML,Processing_type Type = Processing_type.get() ML.Reval(get_Name(),Type) Update_BOX() def Two_Split(): global ML,Processing_type,Shape_Input Type = Processing_type.get() ML.Two_Split(get_Name(),Shape_Input.get(),Type) Update_BOX() def Split(): global ML,Processing_type,Shape_Input Type = Processing_type.get() try: Split = eval(f'[{Shape_Input.get()}]')[0] except: Split = 2 ML.Split(get_Name(),Split,Type) Update_BOX() def Merge(): global Merge_list,ML,Processing_type if len(Merge_list) < 1: return False Type = Processing_type.get() ML.Merge(Merge_list,Type) Update_BOX() def Update_Merge(): global Merge_list,Merge_BOX Merge_BOX.delete(0, tkinter.END) Merge_BOX.insert(tkinter.END, *Merge_list) def Merge_Del(): global Merge_list,Merge_BOX del Merge_list[Merge_BOX.curselection()[0]] Update_Merge() def Merge_Add(): global Merge_list name = get_Name() Merge_list.append(name) Update_Merge() def Show_Args(): learner = get_Learner(True) Dic = askdirectory(title='选择保存位置') data = ML.Show_Args(learner,Dic) webbrowser.open(data[0]) webbrowser.open(data[1])#还可以打开文件管理器 Update_BOX() def get_Args_Learner(): global Args_Learner return Args_Learner.get('0.0', tkinter.END) def Score_Learner(): learner = get_Learner() socore = ML.Score(get_Name(False,True),get_Name(False,False), learner) tkinter.messagebox.showinfo('测试完成', f'针对测试数据评分结果为:{socore}') def Predict_Learner(): learner = get_Learner() Data = ML.Predict(get_Name(False,True),learner) title = f'CoTan数据处理 学习器:{learner}' Creat_TextSheet(Data, title) Update_BOX() def Fit_Learner(): learner = get_Learner() try: split = float(Split_Input.get()) if split < 0 or 1 < split: raise Exception except: split = 0.3 socore = ML.Fit(get_Name(False,True),get_Name(False,False), learner, Text=get_Args_Learner(), split=split) tkinter.messagebox.showinfo('训练完成', 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]}') def set_Feature(): global X_OUT X_OUT.set(get_Name()) def set_Label(): global Y_OUT Y_OUT.set(get_Name()) def set_Learner(): global ML_OUT ML_OUT.set(get_Learner(True)) def get_Learner(Type=False): global Learn_Dic, ML_BOX, ML_OUT if Type: try: return list(Learn_Dic.keys())[ML_BOX.curselection()[0]] except: try: return list(Learn_Dic.keys)[0] except: return get_Learner(False) else: try: return ML_OUT.get() except: return None def Add_Des(): # 添加Lenear的核心 Add_leaner('Statistics') def Add_corr(): Add_leaner('Correlation') def Add_MatrixScatter(): Add_leaner('MatrixScatter') def Add_View_data(): ML.Add_View_data(get_Learner(), Text=get_Args_Learner()) Update_Leaner() def Add_ClusterTree(): Add_leaner('ClusterTree') def Add_FeatureY_X(): Add_leaner('FeatureY-X') def Add_Numpy_To_HeatMap(): Add_leaner('HeatMap') def Add_Predictive_HeatMap_More(): # 添加Lenear的核心 ML.Add_Predictive_HeatMap_More(get_Learner(), Text=get_Args_Learner()) Update_Leaner() def Add_Predictive_HeatMap(): # 添加Lenear的核心 ML.Add_Predictive_HeatMap(get_Learner(), Text=get_Args_Learner()) Update_Leaner() def Add_FeatureScatterClass_all(): Add_leaner('FeatureScatterClass_all') def Add_FeatureScatter_all(): Add_leaner('FeatureScatter_all') def Add_FeatureScatterClass(): Add_leaner('FeatureScatterClass') def Add_FeatureScatter(): Add_leaner('FeatureScatter') def Add_ClassBar(): Add_leaner('ClassBar') def Add_DBSCAN(): Add_leaner('DBSCAN') def Add_Agglomerative(): Add_leaner('Agglomerative') def Add_KMeans(): Add_leaner('k-means') def Add_MLP_class(): Add_leaner('MLP_class') def Add_MLP(): Add_leaner('MLP') def Add_SVR(): Add_leaner('SVR') def Add_SVC(): Add_leaner('SVC') def Add_GradientTree(): Add_leaner('GradientTree') def Add_GradientTree_class(): Add_leaner('GradientTree_class') def Add_TSNE(): Add_leaner('t-SNE') def Add_NMF(): Add_leaner('NMF') def Add_LDA(): Add_leaner('LDA') def Add_KPCA(): Add_leaner('KPCA') def Add_RPCA(): Add_leaner('RPCA') def Add_PCA(): Add_leaner('PCA') def Add_Missed(): Add_leaner('Missed') def Add_Label(): Add_leaner('Label') def Add_OneHotEncoder(): Add_leaner('OneHotEncoder') def Add_Discretization(): Add_leaner('Discretization') def Add_Binarizer(): Add_leaner('Binarizer') def Add_Regularization(): Add_leaner('Regularization') def Add_Fuzzy_quantization(): Add_leaner('Fuzzy_quantization') def Add_Mapzoom(): Add_leaner('Mapzoom') def Add_sigmodScaler(): Add_leaner('sigmodScaler') def Add_decimalScaler(): Add_leaner('decimalScaler') def Add_atanScaler(): Add_leaner('atanScaler') def Add_LogScaler(): Add_leaner('LogScaler') def Add_MinMaxScaler(): Add_leaner('MinMaxScaler') def Add_Z_Score(): Add_leaner('Z-Score') def Add_Forest(): Add_leaner('Forest') def Add_Forest_class(): Add_leaner('Forest_class') def Add_Tree_Class(): Add_leaner('Tree_class') def Add_Tree(): Add_leaner('Tree') def Add_SelectKBest(): Add_leaner('SelectKBest') def Add_Knn_Class(): Add_leaner('Knn_class') def Add_LogisticRegression(): Add_leaner('LogisticRegression') def Add_Lasso(): Add_leaner('Lasso') def Add_Variance(): Add_leaner('Variance') def Add_Knn(): Add_leaner('Knn') def Add_Ridge(): Add_leaner('Ridge') def Add_Line(): Add_leaner('Line') def Add_SelectFrom_Model(): # 添加Lenear的核心 ML.Add_SelectFrom_Model(get_Learner(), Text=get_Args_Learner()) Update_Leaner() def Add_leaner(Type): # 添加Lenear的核心 ML.Add_Learner(Type, Text=get_Args_Learner()) Update_Leaner() def Update_Leaner(): global Learn_Dic, ML_BOX Learn_Dic = ML.Return_Learner() ML_BOX.delete(0, tkinter.END) ML_BOX.insert(tkinter.END, *Learn_Dic.keys()) def Show_One(): global PATH, to_HTML_Type Dic = f'{PATH}/$Show_Sheet.html' try: name = get_Name() if name == None: raise Exception ML.to_Html_One(name, Dic) webbrowser.open(Dic) except: # pass raise def Show(): global PATH, to_HTML_Type Dic = f'{PATH}/$Show_Sheet.html' try: name = get_Name() if name == None: raise Exception ML.to_Html(name, Dic, to_HTML_Type.get()) webbrowser.open(Dic) except: pass def to_CSV(): global top, Seq_Input, Code_Input, str_must, Index_must Dic = asksaveasfilename(title='选择保存的CSV', filetypes=[("CSV", ".csv")]) Seq = Seq_Input.get() name = get_Name() ML.to_CSV(Dic, name, Seq) Update_BOX() def Add_CSV(): global top, Seq_Input, Code_Input, str_must, name_Input Dic = askopenfilename(title='选择载入的CSV', filetypes=[("CSV", ".csv")]) if Dic == '': return False Seq = Seq_Input.get() Codeing = Code_Input.get() str_ = bool(str_must.get()) name = name_Input.get().replace(' ', '') if name == '': name = os.path.splitext(os.path.split(Dic)[1])[0] print(name) if Codeing == '': with open(Dic, 'rb') as f: Codeing = chardet.detect(f.read())['encoding'] if Seq == '': Seq = ',' ML.read_csv(Dic, name, Codeing, str_, Seq,) Update_BOX() def Add_Python(): global top, Seq_Input, Code_Input, str_must, Index_must Dic = askopenfilename(title='选择载入的py', filetypes=[("Python", ".py"), ("Txt", ".txt")]) name = name_Input.get().replace(' ', '') if name == '': name = os.path.splitext(os.path.split(Dic)[1])[0] with open(Dic, 'r') as f: ML.Add_Python(f.read(), name) Update_BOX() def get_Name(Type=True, x=True): # 获得名字统一接口 global Form_List, Form_BOX, X_OUT if Type: try: return Form_List[Form_BOX.curselection()[0]] except: try: return Form_List[0] except: return None else: try: if x: return X_OUT.get() else: return Y_OUT.get() except: return None def Update_BOX(): global top, Form_BOX, Form_List Form_List = list(ML.get_Form().keys()) Form_BOX.delete(0, tkinter.END) Form_BOX.insert(tkinter.END, *Form_List) def Creat_TextSheet(data, name): global bg new_top = tkinter.Toplevel(bg=bg) 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)