在管理工作中，会碰到把报表分割成不同的下属单位，或者把下属单位上报的报表分割成不同的业务种类。

示例：

待分割工作表 SALES.XLSX

  分割依据： CATE.XLSX

# coding=UTF-8
"""
标题：Excel文件分割
功能：检索excel 文件，按标识列，保存到N个文件中。
开发人员：seakingx
建立时间：2018.11.02
最后修改：2018.11.05
python 2.7
"""
def split_test():
    xls_file = r"CATE.xlsx"
    data = pd.read_excel(xls_file, 0)
    rows = data.shape[0]  # 获取行数 shape[1]获取列数
    department_dict = {}
    department_list = []
    for i in range(rows):
        temp = data['CATE'][i]
        key = data['PRD_ID'][i]
        if temp not in department_list:
            department_list.append(temp)  # 将分类存在一个列表中
            department_dict[temp] = [key]  # 建立分类字典
        else:
            # 分类字典添加数据
            key_list = department_dict[temp]
            key_list.append(key)
            department_dict[temp] = key_list
    print len(department_list), rows, len(department_dict)

    # for di in department_dict:
    #     print di, department_dict[di]
    ret_data =  {'list': department_list, 'dict': department_dict}
    split_work = {"xls_file": r"DATA\sales.xlsx", "xls_fld": u"产品号", "file_head": u"产品_", "dir": "DATA"}
    split_work['dict_list'] = ret_data['dict']
    split_work['file_list'] = ret_data['list']

    xls_file = split_work['xls_file']
    fld_key = split_work['xls_fld']

    # 工作表数量
    xl = pd.ExcelFile(xls_file)
    xls_sheet_len = len(xl.sheet_names)

    # 获取市县列表、机构代码名称对应表、市县机构字典
    department_list = split_work['file_list']
    department_dict = split_work['dict_list']

    # 按分类遍历数据、写入数据
    work_info = []
    for department in department_list:
        print department
        file_name = u"{0}\{1}{2}.xlsx".format(split_work['dir'], split_work['file_head'], department)
        work_item = [department, file_name]
        xls_save_file = pd.ExcelWriter(file_name)
        # 遍历工作表
        for sheet_i in range(xls_sheet_len):
            data = pd.read_excel(xls_file, sheet_i)
            rows = data.shape[0]  # 获取行数 shape[1]获取列数
            new_df = pd.DataFrame()
            # 遍历行，筛选数据
            for i in range(0, rows):
                if data[fld_key][i] in department_dict[department]:
                    new_df = pd.concat([new_df, data.iloc[[i], :]], axis=0, ignore_index=True)
            # 写入工作表
            work_item.append(len(new_df))
            new_df.to_excel(xls_save_file, sheet_name=xl.sheet_names[sheet_i], index=False)
        # 保存文件
        xls_save_file.save()
        work_info.append(work_item)
        for w in work_item:
            print w,
        print "完成"
    work_df = pd.DataFrame(work_info, columns=[u'分类', u'文件名'] + xl.sheet_names, dtype=float)
    rpt_file_name = split_work['file_head'] + u"_统计.xlsx"
    work_df.to_excel(rpt_file_name, sheet_name=u'统计', index=False)

完成结果示范：

统计表

分割后的文件：