通过巧设Excel行列序为-1，成功实现数据检索防疫短信

本文介绍了一段Python代码，该代码旨在修正财务报表中应交增值税数据的单位错误问题。通过使用openpyxl库读取Excel文件并定位特定单元格来获取正确的数值。

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# 修改了应交增值税  同比下降单位错误的问题
from docx import Document
from docx.shared import Inches

document = Document()

from openpyxl import load_workbook

'''
@File    :
@Author  :  william
@Time    :  2020/09/29
@notice  ：  null
@coding  : utf-8
'''
# import xlrd
# from xlutils.copy import copy
import openpyxl

# 下一步还得训练程序
# 使其满足对excel文件名和excel工作薄的识别
# 记得把表格再粘贴下，转成仅值


ws = 0
row_result = 0
column_result = 0
result = 0

#####################################################################锁定资产负债表和工作薄
# 如下代码用于多个相关表的打开操作
fn = '12.9诊断 透视图.xlsx'
wb = openpyxl.load_workbook(fn)

ws = wb.get_sheet_by_name('阳性诊断')


# print(ws)


def getdate(date_row, date_column):
    # print(date_row)
    # print(date_column)



    for row in ws.iter_rows():
        for cell in row:
            #print(cell.value)
            if str(str(cell.value).replace(' ', '')).find(date_row) != -1:
                row_result = cell.row

                #print(cell.row)
                #print(cell.column)
            # print(row_result)
            else:
                result = 0
                row_result = 0

                break
    for row in ws.iter_rows():
        for cell in row:
            if str(str(cell.value).replace(' ', '')).find(date_column)  != -1 and column_resul !=-1:
                column_result = cell.column
                #  print(column_result)
                #print(cell.row)
                #print(cell.column)
            else:
                #print(cell.row)
                #print(cell.column)
                column_result = -1

                break
    # print(column_result)
    if row_result == 0 or column_result == -1:
        result = 0
        print(result)

    else:
        if ws.cell(row=row_result, column=column_result).value != None:
            # print(column_result)
            result = ws.cell(row=row_result, column=column_result).value
            print(result)

    return result




if __name__ == '__main__':



    getdate('总计', '槐荫区')