Python优雅解析Excel并将数据进行结构化转换

pip install spire.xls

from spire.xls import Workbook

# 加载Excel文件、获取工作表
workbook = Workbook()
workbook.LoadFromFile("SalesReport.xlsx")
sheet = workbook.Worksheets[0]
# 获取表格已使用的数据区域
cell_range = sheet.AllocatedRange

# 初始化二维列表存储数据
excel_data = []
# 遍历行和列，逐单元格取值
for row_idx in range(cell_range.RowCount):
    single_row = []
    for col_idx in range(cell_range.ColumnCount):
        # spire.xls 行列下标从1开始，需要做偏移适配
        single_row.append(cell_range[row_idx + 1, col_idx + 1].Value)
    excel_data.append(single_row)

# 释放文件资源
workbook.Dispose()

from spire.xls import Workbook

workbook = Workbook()
workbook.LoadFromFile("SalesReport.xlsx")
sheet = workbook.Worksheets[0]
cell_range = sheet.AllocatedRange

# 提取首行作为表头字段
rows = list(cell_range.Rows)
headers = [cell_range[1, col_idx + 1].Value for col_idx in range(cell_range.ColumnCount)]

# 遍历数据行，映射为字典列表
data_list = []
# 跳过表头，从第二行开始读取业务数据
for row in rows[1:]:
    row_dict = {}
    for idx, cell in enumerate(row.Cells):
        # 表头字段为键，单元格值为值
        row_dict[headers[idx]] = cell.Value
    data_list.append(row_dict)

workbook.Dispose()

# 定义业务实体类，固定数据结构与字段类型
class Employee:
    def __init__(self, name: str, age: int | None, department: str):
        # 员工姓名
        self.name = name
        # 员工年龄（可空）
        self.age = age
        # 所属部门
        self.department = department

    # 可自定义业务方法，扩展能力
    def is_adult(self) -> bool:
        """判断是否为成年员工"""
        return self.age >= 18 if self.age else False


from spire.xls import Workbook

workbook = Workbook()
workbook.LoadFromFile("EmployeeData.xlsx")
sheet = workbook.Worksheets[0]
cell_range = sheet.AllocatedRange

employee_list = []
# 遍历业务数据行
for row in list(cell_range.Rows)[1:]:
    # 手动类型转换 + 空值兼容处理
    name = row.Cells[0].Value
    age = int(row.Cells[1].Value) if row.Cells[1].Value else None
    department = row.Cells[2].Value
    # 实例化实体对象并存入列表
    emp = Employee(name, age, department)
    employee_list.append(emp)

workbook.Dispose()