python进行等宽离散并将结果写入excel表格

import xlrdimport xlwtimport pandas as pdimport copydef Lianxu_Lisan1(): lis = [] lis = readincol() print("请输入要处理的没有划分标准的列的总数") all = input("all:") for i in range(int(all)): print("请输入要处理的列的列号") n = input("n:") data=[] data = copy.copy(lis[int(n)-1][1:]) print(data) # da = [3,60,83,100,52,36] k = 4 # da_cut = pd.cut(da,k,labels=range(k)) # print(da_cut) # da = da_cut # print(da) data_cut1 = [] data_cut1 = pd.cut(data,k,labels=range(k)) print(data_cut1) lis[int(n) - 1][1:] = data_cut1 print(lis[int(n) - 1]) print(lis) # 等宽法 # d1 = pd.cut(data, k, labels=range(k)) # 等宽离散化，各个类次命名为0,1,2,3 # print(d1)def readincol(): lis_col = [] print("按列读取表格数据") print("请输入文件名：") filename=input("filename:") workbook = xlrd.open_workbook(filename) print("该文件中sheet表的名称列表如下：") print(workbook.sheet_names()) print("请输入sheet名：") sheetname=input("sheetname:") sheet = workbook.sheet_by_name(sheetname) for j in range(sheet.ncols): lis_col.append(sheet.col_values(j)) print("原始表格数据按列存储为列表形式如下：") print(lis_col) return lis_coldef saveExcel(list): Lis_end = [] Lis_end = list print("经过多次处理此时的sheet表的列数为：") col = input("col:") print("经过多次处理此时的sheet表的行数为：") row = input("row:") print("将数据写入新的Excel表格") wb = xlwt.Workbook(encoding='utf-8') print("请输入文件保存的sheet表名称") newname = input("newname:") worksheet = wb.add_sheet(newname) for i in range(int(col)): for j in range(int(row)): worksheet .write(j, i, Lis_end[i][j]) j = 1 i = 1 print("请输入保存的文件名(请注意不能和之前的文件名重复）") newfile = input("newfile:") wb.save(newfile) print("最终数据写入新的表格\n")if __name__ == '__main__': Lianxu_Lisan1()