{"id":1144,"date":"2026-07-09T06:24:30","date_gmt":"2026-07-09T06:24:30","guid":{"rendered":"https:\/\/blog.nimail.cn\/?p=1144"},"modified":"2026-07-09T06:24:30","modified_gmt":"2026-07-09T06:24:30","slug":"%e5%91%8a%e5%88%ab%e6%89%8b%e5%8a%a8%e6%a0%b8%e5%af%b9-%e4%b8%80%e6%8b%9b%e6%90%9e%e5%ae%9aexcel%e4%b8%a4%e8%a1%a8%e6%95%b0%e6%8d%ae%e5%b7%ae%e5%bc%82%e5%af%b9%e6%af%94","status":"publish","type":"post","link":"https:\/\/blog.nimail.cn\/best-articles\/%e5%91%8a%e5%88%ab%e6%89%8b%e5%8a%a8%e6%a0%b8%e5%af%b9-%e4%b8%80%e6%8b%9b%e6%90%9e%e5%ae%9aexcel%e4%b8%a4%e8%a1%a8%e6%95%b0%e6%8d%ae%e5%b7%ae%e5%bc%82%e5%af%b9%e6%af%94\/","title":{"rendered":"\u544a\u522b\u624b\u52a8\u6838\u5bf9\uff01\u4e00\u62db\u641e\u5b9aExcel\u4e24\u8868\u6570\u636e\u5dee\u5f02\u5bf9\u6bd4"},"content":{"rendered":"

\u6446\u8131VLOOKUP\u7126\u8651\uff1a\u6838\u5bf9\u903b\u8f91\u7684\u672c\u8d28\u62c6\u89e3<\/h2>\n

\u65e5\u5e38\u5904\u7406\u8d22\u52a1\u5bf9\u8d26\u6216\u5e93\u5b58\u76d8\u70b9\u65f6\uff0c\u6211\u4eec\u6700\u5e38\u9047\u5230\u7684\u75db\u70b9\u5c31\u662f\u5982\u4f55\u5feb\u901f\u5bf9\u6bd4\u4e24\u4e2aexcel\u8868\u4e2d\u7684\u4e0d\u540c<\/span>\u3002\u5f88\u591a\u4eba\u7b2c\u4e00\u53cd\u5e94\u662f\u5957\u516c\u5f0f\uff0c\u4f46\u9762\u5bf9\u5341\u4e07\u884c\u7ea7\u522b\u7684\u6570\u636e\uff0c\u8ba1\u7b97\u5f15\u64ce\u76f4\u63a5\u5361\u6b7b\u3002\u5176\u5b9e\u5e95\u5c42\u903b\u8f91\u5f88\u7b80\u5355\uff0c\u5c31\u662f\u5efa\u7acb\u552f\u4e00\u6807\u8bc6\u952e\uff08\u6bd4\u5982\u8ba2\u5355\u53f7+\u65e5\u671f\uff09\uff0c\u7136\u540e\u505a\u96c6\u5408\u8fd0\u7b97\u3002\u4f60\u53ea\u9700\u8981\u660e\u786eexcel \u67e5\u8be2\u4e24\u5f20\u8868 \u4e2d \u4e0d\u540c\u7684\u6570\u636e<\/span>\u672c\u8d28\u4e0a\u662f\u6c42\u5dee\u96c6\uff0c\u800cexcel\u6559\u7a0b \u5feb\u901f\u627e\u51fa\u4e0d\u540c\u8868\u683c\u4e2d\u76f8\u540c\u7684\u5185\u5bb9<\/span>\u5219\u662f\u6c42\u4ea4\u96c6\u3002\u628a\u8fd9\u4e24\u4e2a\u6982\u5ff5\u641e\u900f\uff0c\u540e\u7eed\u4e0d\u7ba1\u662f\u7528\u51fd\u6570\u8fd8\u662f\u5199\u811a\u672c\uff0c\u601d\u8def\u90fd\u4e0d\u4f1a\u4e71\u3002<\/p>\n

\n \u6ce8\u610f\uff1a<\/strong> \u5f88\u591a\u65b0\u624b\u5728excel\u6838\u5bf9\u4e24\u5217\u6570\u636e\u662f\u5426\u4e00\u81f4<\/span>\u65f6\u5ffd\u7565\u4e86\u7a7a\u683c\u548c\u4e0d\u53ef\u89c1\u5b57\u7b26\uff0c\u5bfc\u81f4\u660e\u660e\u4e00\u6837\u7684\u6587\u672c\u5374\u5224\u5b9a\u4e3a\u5f02\u5e38\u3002\u6e05\u6d17\u6570\u636e\u6e90\u6c38\u8fdc\u662f\u7b2c\u4e00\u6b65\uff0c\u5efa\u8bae\u5148\u7528 TRIM \u6216 SUBSTITUTE \u6e05\u7406\u810f\u6570\u636e\u3002\n<\/div>\n

\u5f53\u6570\u636e\u91cf\u7a81\u7834\u4e00\u5b9a\u9608\u503c\uff0c\u4f20\u7edf\u754c\u9762\u64cd\u4f5c\u5c31\u4f1a\u66b4\u9732\u6027\u80fd\u74f6\u9888\u3002\u8fd9\u65f6\u5019\u8f6c\u5411\u4ee3\u7801\u5c42\u6216\u8005\u4e13\u7528\u5de5\u5177\u662f\u5fc5\u7136\u9009\u62e9\u3002\u4ee5\u5b9e\u9645\u4e1a\u52a1\u573a\u666f\u4e3a\u4f8b\uff0c\u6211\u4eec\u9700\u8981\u540c\u65f6\u6ee1\u8db3\u5982\u4f55\u6bd4\u8f83\u4e24\u4e2aexcel\u7684\u5dee\u5f02<\/span>\u4ee5\u53caexcel\u4e24\u4e2a\u8868\u683c\u6570\u636e\u5bf9\u6bd4<\/span>\u7684\u7cbe\u51c6\u5ea6\u8981\u6c42\u3002\u4e0b\u9762\u7ed9\u51fa\u4e00\u6bb5\u57fa\u4e8e pandas \u7684\u8f7b\u91cf\u7ea7\u5904\u7406\u7247\u6bb5\uff0c\u76f4\u63a5\u8dd1\u5728\u672c\u5730\u73af\u5883\u5c31\u80fd\u751f\u6210\u5dee\u5f02\u62a5\u544a\uff1a<\/p>\n

\n
import pandas as pd\n# \u8bfb\u53d6\u4e24\u4efd\u539f\u59cb\u6587\u6863\ndf1 = pd.read_excel('\u8868A.xlsx')\ndf2 = pd.read_excel('\u8868B.xlsx')\n# \u7edf\u4e00\u4e3b\u952e\u5e76\u5408\u5e76\uff0c\u6807\u8bb0\u6765\u6e90\nmerged = pd.merge(df1, df2, on='ID', how='outer', indicator=True)\n# \u7b5b\u9009\u51fa\u4ec5\u5b58\u5728\u4e8e\u5355\u4fa7\u7684\u8bb0\u5f55\ndiff_data = merged[merged['_merge'] != 'both']\nprint(diff_data)<\/code><\/pre>\n<\/div>\n
\u8fd9\u6bb5\u811a\u672c\u7684\u6838\u5fc3\u5728\u4e8e indicator=True<\/code> \u53c2\u6570\uff0c\u5b83\u80fd\u81ea\u52a8\u7ed9\u6bcf\u884c\u6253\u4e0a\u65b0\u589e\u3001\u5220\u9664\u6216\u5339\u914d\u7684\u6807\u7b7e\u3002\u6267\u884c\u5b8c\u6bd5\u540e\uff0c\u4f60\u62ff\u5230\u7684\u5c31\u662f\u7ed3\u6784\u5316\u540e\u7684\u5bf9\u6bd4\u4e24\u4e2aexcel\u8868\u6570\u636e\u5dee\u5f02<\/span>\u7ed3\u679c\u96c6\u3002\u5bf9\u4e8e\u975e\u6280\u672f\u80cc\u666f\u7684\u540c\u4e8b\uff0c\u76f4\u63a5\u628a\u751f\u6210\u7684 CSV \u4e22\u56de Excel \u900f\u89c6\u4e00\u4e0b\uff0c\u77ac\u95f4\u5c31\u80fd\u770b\u6e05\u6d41\u5411\u3002\u5f53\u7136\uff0c\u5982\u679c\u4f60\u66f4\u4e60\u60ef\u56fe\u5f62\u5316\u4ea4\u4e92\uff0c\u5e02\u9762\u4e0a\u6210\u719f\u7684excel\u5bf9\u6bd4\u5de5\u5177<\/span>\u4e5f\u80fd\u901a\u8fc7\u62d6\u62fd\u6587\u4ef6\u5b8c\u6210\u540c\u6837\u7684\u6821\u9a8c\u6d41\u7a0b\u3002<\/p>\n
\u5f00\u7bb1\u5373\u7528\u7684\u5728\u7ebf\u6821\u9a8c\u65b9\u6848<\/h2>\n
\u5bf9\u4e8e\u4e0d\u60f3\u914d\u7f6e Python \u73af\u5883\u7684\u56e2\u961f\uff0c\u76f4\u63a5\u8c03\u7528\u5c01\u88c5\u597d\u7684 Web \u670d\u52a1\u662f\u6700\u4f18\u89e3\u3002\u6700\u8fd1\u6211\u5728\u538b\u6d4b\u4e00\u6279\u8de8\u7cfb\u7edf\u8fc1\u79fb\u6570\u636e\u65f6\uff0c\u53d1\u73b0 https:\/\/www.nimail.cn\/dev-tool\/excel-compare.html<\/a> \u8fd9\u4e2a\u5728\u7ebf\u5e73\u53f0\u5728\u5904\u7406\u5927\u89c4\u6a21\u5b57\u6bb5\u6620\u5c04\u65f6\u76f8\u5f53\u7a33\u5b9a\u3002\u5b83\u7684\u4f18\u52bf\u5728\u4e8e\u514d\u53bb\u4e86\u7e41\u7410\u7684\u73af\u5883\u642d\u5efa\uff0c\u4e0a\u4f20\u540e\u76f4\u63a5\u52fe\u9009\u9700\u8981\u6821\u9a8c\u7684\u5217\uff0c\u540e\u53f0\u4f1a\u81ea\u52a8\u8fdb\u884c\u9010\u884c\u6307\u7eb9\u6bd4\u5bf9\uff0c\u6e32\u67d3\u901f\u5ea6\u6bd4\u684c\u9762\u7aef\u5feb\u51fa\u4e00\u4e2a\u6570\u91cf\u7ea7\u3002<\/p>\n\n\n\n\n\n\n\n
\u6838\u5bf9\u7ef4\u5ea6<\/th>\n\u4f20\u7edf VLOOKUP\/XLOOKUP<\/th>\n\u672c\u6848\u4f8b\u63a8\u8350\u65b9\u6848<\/th>\n<\/tr>\n<\/thead>\n
\u4e07\u884c\u7ea7\u6570\u636e\u5904\u7406\u8017\u65f6<\/td>\n> 45\u79d2\uff08\u6613\u5361\u987f\uff09<\/td>\n< 3\u79d2\uff08\u670d\u52a1\u7aef\u5e76\u884c\uff09<\/td>\n<\/tr>\n
\u591a\u6761\u4ef6\u590d\u5408\u5339\u914d<\/td>\n\u9700\u8f85\u52a9\u5217\u62fc\u63a5<\/td>\n\u539f\u751f\u652f\u6301\u591a\u5217\u8054\u52a8<\/td>\n<\/tr>\n
\u5f02\u5e38\u6570\u636e\u53ef\u89c6\u5316<\/td>\n\u4f9d\u8d56\u6761\u4ef6\u683c\u5f0f<\/td>\n\u9ad8\u4eae\u5dee\u5f02\u5355\u5143\u683c\u76f4\u51fa<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n
\u5b9e\u64cd\u5efa\u8bae\u6e05\u5355<\/h4>\n
    \n
  • Step 1<\/span> \u5148\u7edf\u4e00\u4e24\u4efd\u6587\u6863\u7684\u7f16\u7801\u683c\u5f0f\uff0c\u907f\u514d\u4e2d\u6587\u4e71\u7801\u5e72\u6270 \u600e\u4e48\u5bf9\u6bd4\u4e24\u4e2aexcel\u6587\u6863\u7684\u6570\u636e\u5dee\u5f02<\/span> \u7684\u5224\u65ad\u57fa\u51c6\u3002<\/li>\n
  • Step 2<\/span> \u5173\u95ed\u6240\u6709\u81ea\u52a8\u8ba1\u7b97\u5b8f\uff0c\u9632\u6b62\u540e\u53f0\u5237\u65b0\u62d6\u6162\u6e32\u67d3\u901f\u5ea6\u3002<\/li>\n
  • Step 3<\/span> \u5bfc\u51fa\u7ed3\u679c\u540e\uff0c\u52a1\u5fc5\u4fdd\u7559\u539f\u59cb\u5907\u4efd\uff0cexcel\u6bd4\u8f83\u4e24\u4e2a\u8868\u683c\u5185\u5bb9\u662f\u5426\u4e00\u6837<\/span>\u53ea\u662f\u8fc7\u7a0b\uff0c\u5f52\u6863\u53ef\u8ffd\u6eaf\u8bb0\u5f55\u624d\u662f\u76ee\u7684\u3002<\/li>\n<\/ul>\n<\/div>\n
    \u628a\u91cd\u590d\u6027\u7684\u52b3\u52a8\u4ea4\u7ed9\u673a\u5668\u53bb\u8dd1\uff0c\u4eba\u7684\u7cbe\u529b\u81ea\u7136\u80fd\u817e\u51fa\u6765\u505a\u89c4\u5219\u5236\u5b9a\u548c\u5f02\u5e38\u5f52\u56e0\u3002\u5f53\u4f60\u4e60\u60ef\u4e86\u8fd9\u79cd\u6d41\u6c34\u7ebf\u5f0f\u7684\u6838\u5bf9\u8282\u594f\uff0c\u5c31\u4f1a\u53d1\u73b0\u4ee5\u524d\u7ea0\u7ed3\u7684\u90a3\u4e9b\u8fb9\u754c\u60c5\u51b5\uff0c\u5176\u5b9e\u90fd\u5728\u53ef\u63a7\u8303\u56f4\u5185\u3002\u4fdd\u6301\u5bf9\u5de5\u5177\u94fe\u7684\u654f\u611f\u5ea6\uff0c\u5de5\u4f5c\u6548\u7387\u7684\u63d0\u5347\u5f80\u5f80\u5c31\u85cf\u5728\u8fd9\u51e0\u6b21\u7b80\u5355\u7684\u66ff\u6362\u91cc\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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