基于Python实现对比Exce的工具基于Python实现对比Exce的工具

1.参数
2.效果
3.实现

目的:设计一个应用GUI用于对比两个Excel文件

思路

1.参数

同一个excel文件两个sheet页其中一个ODS(老数据)，一个DWH(新数据)
生成对比文件
设计两个主键输入主键1 输入主键2

(默认新旧文件列名一致)
【基于Python实现对比Exce的工具】
2.效果

生成的文件
数据量一样、取每个字段不一致的数据前10
数据量不一样、取两边不一样的数据前10、排除不一样的数据、每个字段不一致的数据前10

3.实现

循环对比组合列(主键+对比列)
pandas处理差异数据、openpyxl 处理生成的sheet的数据格式. (先生成数据,然后调整格式)

配置

import pandas as pdfrom openpyxl import load_workbook#选择文件路径path=r"C:\Users\小管同学\Desktop\Migration_Data_Compari\对比文件.xls" #input("选择文件路径:")TargetPath=r"C:\Users\小管同学\Desktop\Migration_Data_Comparison_Tool\目标文件\对比结果.xlsx"DATA_ODS=pd.read_excel(r"C:\Users\小管同学\Desktop\Migration_Data_Comparison_Tool\对比文件.xls",sheet_name="ODS")DATA_DWH=pd.read_excel(r"C:\Users\小管同学\Desktop\Migration_Data_Comparison_Tool\对比文件.xls",sheet_name="DWH")#选择主键Primarykey="员工编号"#input("选择主键1:")Primarykey# 员工编号

一、数据量
输出表格1–数据量

def write_to_excel_DataVolume(Data,TargetPath): # cor_df 为要保存的 dataframe writer = pd.ExcelWriter(TargetPath, engine='xlsxwriter') # 这里用Data.to_excel(writer,sheet_name='Sheet1', encoding='utf8', header=False, startcol=0, startrow=2) # 把dataframe的数据从第2行开始workbook= writer.bookformat1 = workbook.add_format({ # 先把样式打包，然后之后赋值即可'bold': True, # 字体加粗'text_wrap': True, # 是否自动换行'valign': 'bottom',#垂直对齐方式'align': 'center', # 水平对齐方式'fg_color': '#C5D9F1', # 单元格背景颜色'border': 1,# 边框})writer_sheet = writer.sheets['Sheet1']# 设置宽度writer_sheet.set_column("A:I", 16)writer_sheet.set_column('C:C',30)writer_sheet.merge_range(0,0,0,2,'对比结果',format1)writer_sheet.merge_range(4,2,4,0,'数据量差异',format1)writer_sheet.write(1,0,'',format1)writer_sheet.write(1,1,'ODS',format1)writer_sheet.write(1,2,'DWH',format1)writer.save()writer.close()DataFrame_DataVolume=pd.DataFrame([[DATA_ODS.shape[0]],[DATA_DWH.shape[0]]]).TDataFrame_DataVolume.columns =["ODS","DWH"]DataFrame_DataVolume.index=["数据量"]DataFrame_DataVolume#writeFileDataVolume(DataFrame_DataVolume,TargetPath)write_to_excel_DataVolume(DataFrame_DataVolume,TargetPath)

文章图片

输出表格2–数据量差异合同

if DATA_ODS.shape[0]==DATA_DWH.shape[0]:passelse:DATA_ODS_Primarykey=pd.DataFrame(DATA_ODS[Primarykey])DATA_DWH_Primarykey=pd.DataFrame(DATA_DWH[Primarykey])df_union = pd.concat([DATA_ODS_Primarykey,DATA_DWH_Primarykey])# 实现1df_diff_ODS = df_union.append(DATA_ODS_Primarykey).drop_duplicates(subset=df_union.columns.to_list(), keep=False)df_diff_DWH = df_union.append(DATA_DWH_Primarykey).drop_duplicates(subset=df_union.columns.to_list(), keep=False)#DWH多的合同df_diff_ODS#DWH少的合同df_diff_DWHdf_diff_DWH_Data=https://www.it610.com/article/[]df_diff_ODS_Data=[]for i in df_diff_ODS.head(10).values.tolist():for n in i:df_diff_ODS_Data.append(n)for i in df_diff_DWH.head(10).values.tolist():df_diff_DWH_Data.append(n)while True:if len(df_diff_DWH_Data)>len(df_diff_ODS_Data):df_diff_ODS_Data.append("-")elif len(df_diff_DWH_Data)< len(df_diff_ODS_Data):df_diff_DWH_Data.append("-")elif len(df_diff_DWH_Data)== len(df_diff_ODS_Data):breakDataFrame_DataVolume_Count_result=pd.DataFrame(df_diff_DWH_Data,df_diff_ODS_Data).reset_index()DataFrame_DataVolume_Count_result.columns=['DWH多的合同','DWH少的的合同']DataFrame_DataVolume_Count_result=DataFrame_DataVolume_Count_result.reset_index()DataFrame_DataVolume_Count_result.columns=['序号','DWH多的合同','DWH少的的合同']DataFrame_DataVolume_Count_resultfrom openpyxl import load_workbook def write_to_excel_Count_result(Data,TargetPath):df_Old = pd.DataFrame(pd.read_excel(TargetPath)) #读取原数据文件和表 writer = pd.ExcelWriter(TargetPath,engine='openpyxl')book=load_workbook(TargetPath)writer.book = bookwriter.sheets = dict((ws.title, ws) for ws in book.worksheets)df_rows = df_Old.shape[0] #获取原数据的行数Data.to_excel(writer,startrow=df_rows+1, index=False,startcol=0,header=True)#将数据写入excel中的aa表,从第一个空行开始写writer.save()#保存write_to_excel_Count_result(DataFrame_DataVolume_Count_result,TargetPath)