Python使用openpyxl从URL读取Excel并获取单元格样式

Python 3.7+

pip install openpyxl

file = urllib.request.urlopen(direct_link).read()
wb = load_workbook(filename=io.BytesIO(file))

sheet = wb[sheet_name]

cell_3 = sheet[sheet_info]

for row in cell_3:
    for column in row:
        ...

from openpyxl import load_workbook
import io
import urllib.request

def get_sheet_info(direct_link, sheet_name, sheet_info):
    me = []
    res = {}
    try:
        # 从 URL 读取 Excel 文件
        file = urllib.request.urlopen(direct_link).read()
        wb = load_workbook(filename=io.BytesIO(file))

        # 根据 sheet 名称获取 sheet
        sheet = wb[sheet_name]

        # 获取指定区域
        cell_3 = sheet[sheet_info]

        for row in cell_3:
            for column in row:
                js = {}
                js['row'] = column.coordinate
                js['value'] = str(column.value)
                js['font_sz'] = column.font.sz

                # 字体主题色
                if isinstance(column.font.color.theme, int):
                    js['font_theme'] = column.font.color.theme
                else:
                    js['font_theme'] = -1

                # 垂直对齐方式
                if column.font.vertAlign is None:
                    js['vertAlign'] = "None"
                else:
                    js['vertAlign'] = column.font.vertAlign

                # 字体 RGB 颜色
                if isinstance(column.font.color.rgb, str):
                    js['font_color'] = column.font.color.rgb
                else:
                    js['font_color'] = ""

                # 背景 RGB 颜色
                if isinstance(column.fill.start_color.rgb, str):
                    js['back_color'] = column.fill.start_color.rgb
                else:
                    js['back_color'] = ""

                # 字体名称
                js['name'] = column.font.name

                # 背景主题色
                if isinstance(column.fill.fgColor.theme, int):
                    js['back_theme'] = column.fill.fgColor.theme
                else:
                    js['back_theme'] = -1

                me.append(js)

        res['code'] = "500"
        res['msg'] = "未获取excel信息"
        res['data'] = me
        return res

    except Exception:
        res['code'] = "400"
        res['msg'] = "url获取失败"
        return res

def get_sheet_list(direct_link):
    res = {}
    try:
        file = urllib.request.urlopen(direct_link).read()
        wb = load_workbook(filename=io.BytesIO(file))

        res['code'] = 200
        res['msg'] = "获取成功"
        res['data'] = wb.sheetnames

    except Exception:
        res['code'] = "400"
        res['msg'] = "url获取失败"

    return res

a = get_sheet_info(
    "http://192.168.31.161:8080/555.xlsx",
    "采购合理性数据分析（答案）",
    "A2:A5"
)
print(a)

b = get_sheet_list("http://192.168.31.161:8080/555.xlsx")
print(b)

{
  "code": "500",
  "msg": "未获取excel信息",
  "data": [
    {
      "row": "A2",
      "value": "季度",
      "font_sz": 11.0,
      "font_theme": 1,
      "vertAlign": "None",
      "font_color": "",
      "back_color": "00000000",
      "name": "宋体",
      "back_theme": -1
    },
    {
      "row": "A3",
      "value": "2018-1",
      "font_sz": 11.0,
      "font_theme": 1,
      "vertAlign": "None",
      "font_color": "",
      "back_color": "00000000",
      "name": "宋体",
      "back_theme": -1
    }
  ]
}

{
  "code": 200,
  "msg": "获取成功",
  "data": [
    "供应商信息表",
    "采购中标信息表",
    "订单信息表",
    "采购合理性数据分析（答案）"
  ]
}