{"id":50474,"date":"2024-12-03T17:28:36","date_gmt":"2024-12-03T09:28:36","guid":{"rendered":"https:\/\/fwq.ai\/blog\/50474\/"},"modified":"2024-12-03T17:28:36","modified_gmt":"2024-12-03T09:28:36","slug":"python%e5%a6%82%e4%bd%95%e6%a0%b9%e6%8d%aeexcel%e8%a1%a8%e6%a0%bc%e4%b8%ad%e7%9a%84%e5%a7%93%e5%90%8d%e5%92%8c%e8%ba%ab%e4%bb%bd%e8%af%81%e5%8f%b7%e9%87%8d%e5%91%bd%e5%90%8d%e6%96%87%e4%bb%b6%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/50474\/","title":{"rendered":"Python\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>Python\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f<\/h1>\n<p>\u6700\u8fd1\u53d1\u73b0\u4e0d\u5c11\u5c0f\u4f19\u4f34\u90fd\u5bf9\u5f88\u611f\u5174\u8da3\uff0c\u6240\u4ee5\u4eca\u5929\u7ee7\u7eed\u7ed9\u5927\u5bb6\u4ecb\u7ecd<span style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\">\u6587\u7ae0<\/span>\u76f8\u5173\u7684\u77e5\u8bc6\uff0c\u672c\u6587<span style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\">\u300aPython\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b<\/span>\u4e3b\u8981\u5185\u5bb9\u6d89\u53ca\u5230<span style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\"><\/span>\u7b49\u7b49\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u80fd\u5e2e\u5230\u4f60\uff01\u5f53\u7136\u5982\u679c\u9605\u8bfb\u672c\u6587\u65f6\u5b58\u5728\u4e0d\u540c\u60f3\u6cd5\uff0c\u53ef\u4ee5\u5728\u8bc4\u8bba\u4e2d\u8868\u8fbe\uff0c\u4f46\u662f\u8bf7\u52ff\u4f7f\u7528\u8fc7\u6fc0\u7684\u63aa\u8f9e~<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241120\/1732102242673dc86208824.jpg\" class=\"aligncenter\" title=\"Python\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u63d2\u56fe\" alt=\"Python\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u63d2\u56fe\" \/><\/p>\n<p><strong>python\u5b9e\u73b0\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6<\/strong><\/p>\n<p>\u6b64\u524d\uff0c\u60a8\u63d0\u51fa\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u5e0c\u671b\u5c06\u4ee5\u8eab\u4efd\u8bc1\u53f7\u547d\u540d\u7684\u6587\u4ef6\u6279\u91cf\u91cd\u547d\u540d\u4e3a\u76f8\u5e94\u4eba\u5458\u7684\u59d3\u540d\u3002\u4ee5\u4e0b\u4ee3\u7801\u63d0\u4f9b\u4e86\u6b64\u95ee\u9898\u7684 python \u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<pre>import os\nimport pandas as pd\n\n# \u8bfb\u53d6\u5305\u542b\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u7684 Excel \u6587\u4ef6\ndf = pd.read_excel(\"data.xls\")\n\n# \u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6587\u4ef6\u5217\u8868\nid_list = os.listdir(\".\/\")\n\n# \u8fed\u4ee3\u6587\u4ef6\u5217\u8868\nfor id in id_list:\n    # \u63d0\u53d6\u8eab\u4efd\u8bc1\u53f7\n    id_p = id[:id.find(\".\")]\n    # \u63d0\u53d6\u6587\u4ef6\u6269\u5c55\u540d\n    id_n = id[id.find(\".\"):]\n    \n    # \u5728 DataFrame \u4e2d\u67e5\u627e\u5bf9\u5e94\u8eab\u4efd\u8bc1\u53f7\u7684\u59d3\u540d\n    for co in df.values:\n        if str(co[0]) == str(id_p):\n            # \u6784\u5efa\u65b0\u7684\u6587\u4ef6\u540d\n            new_name = co[1] + id_n\n            # \u91cd\u547d\u540d\u6587\u4ef6\n            print(f\"\u5f00\u59cb\u91cd\u547d\u540d: {id} -&gt; {new_name}\")\n            os.rename(id, new_name)\n\nprint(\"\u91cd\u547d\u540d\u7ed3\u675f\")<\/pre>\n<p>\u6b64\u4ee3\u7801\u901a\u8fc7\u8bfb\u53d6 excel \u6587\u4ef6\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u6620\u5c04\u5173\u7cfb\uff0c\u5e76\u8fed\u4ee3\u6587\u4ef6\u5217\u8868\uff0c\u9010\u4e2a\u91cd\u547d\u540d\u6587\u4ef6\u3002\u6bcf\u4e2a\u91cd\u547d\u540d\u7684\u6587\u4ef6\u540d\u7531\u59d3\u540d\u548c\u539f\u6587\u4ef6\u6269\u5c55\u540d\u7ec4\u6210\u3002<\/p>\n<p>\u4eca\u5929\u5173\u4e8e\u300aPython\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b\u7684\u5185\u5bb9\u5c31\u4ecb\u7ecd\u5230\u8fd9\u91cc\u4e86\uff0c\u662f\u4e0d\u662f\u5b66\u8d77\u6765\u4e00\u76ee\u4e86\u7136\uff01\u60f3\u8981\u4e86\u89e3\u66f4\u591a\u5173\u4e8e\u7684\u5185\u5bb9\u8bf7\u5173\u6ce8\u7c73\u4e91\u516c\u4f17\u53f7\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f \u6700\u8fd1\u53d1\u73b0\u4e0d\u5c11\u5c0f\u4f19\u4f34\u90fd\u5bf9\u5f88\u611f\u5174\u8da3\uff0c\u6240\u4ee5\u4eca\u5929\u7ee7\u7eed\u7ed9\u5927\u5bb6\u4ecb\u7ecd\u6587\u7ae0\u76f8\u5173\u7684\u77e5\u8bc6\uff0c\u672c\u6587\u300aPython\u5982\u4f55\u6839\u636eExcel\u8868\u683c\u4e2d\u7684\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b\u4e3b\u8981\u5185\u5bb9\u6d89\u53ca\u5230\u7b49\u7b49\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u80fd\u5e2e\u5230\u4f60\uff01\u5f53\u7136\u5982\u679c\u9605\u8bfb\u672c\u6587\u65f6\u5b58\u5728\u4e0d\u540c\u60f3\u6cd5\uff0c\u53ef\u4ee5\u5728\u8bc4\u8bba\u4e2d\u8868\u8fbe\uff0c\u4f46\u662f\u8bf7\u52ff\u4f7f\u7528\u8fc7\u6fc0\u7684\u63aa\u8f9e~ python\u5b9e\u73b0\u8eab\u4efd\u8bc1\u53f7\u91cd\u547d\u540d\u6587\u4ef6 \u6b64\u524d\uff0c\u60a8\u63d0\u51fa\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u5e0c\u671b\u5c06\u4ee5\u8eab\u4efd\u8bc1\u53f7\u547d\u540d\u7684\u6587\u4ef6\u6279\u91cf\u91cd\u547d\u540d\u4e3a\u76f8\u5e94\u4eba\u5458\u7684\u59d3\u540d\u3002\u4ee5\u4e0b\u4ee3\u7801\u63d0\u4f9b\u4e86\u6b64\u95ee\u9898\u7684 python \u89e3\u51b3\u65b9\u6848\uff1a import os import pandas as pd # \u8bfb\u53d6\u5305\u542b\u59d3\u540d\u548c\u8eab\u4efd\u8bc1\u53f7\u7684 Excel \u6587\u4ef6 df = pd.read_excel(&#8220;data.xls&#8221;) # \u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6587\u4ef6\u5217\u8868 id_list = os.listdir(&#8220;.\/&#8221;) # \u8fed\u4ee3\u6587\u4ef6\u5217\u8868 for id in id_list: # \u63d0\u53d6\u8eab\u4efd\u8bc1\u53f7 id_p = id[:id.find(&#8220;.&#8221;)] # \u63d0\u53d6\u6587\u4ef6\u6269\u5c55\u540d id_n = id[id.find(&#8220;.&#8221;):] # \u5728 DataFrame \u4e2d\u67e5\u627e\u5bf9\u5e94\u8eab\u4efd\u8bc1\u53f7\u7684\u59d3\u540d for co in df.values: if str(co[0]) == str(id_p): # \u6784\u5efa\u65b0\u7684\u6587\u4ef6\u540d new_name [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-50474","post","type-post","status-publish","format-standard","hentry","category-16"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50474","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=50474"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50474\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=50474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=50474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=50474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}