{"id":50421,"date":"2024-12-03T10:43:24","date_gmt":"2024-12-03T02:43:24","guid":{"rendered":"https:\/\/fwq.ai\/blog\/50421\/"},"modified":"2024-12-03T10:43:24","modified_gmt":"2024-12-03T02:43:24","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%a0%b9%e6%8d%ae%e8%ba%ab%e4%bb%bd%e8%af%81%e5%8f%b7%e6%89%b9%e9%87%8f%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\/50421\/","title":{"rendered":"\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f<\/h1>\n<p>\u5c0f\u4f19\u4f34\u4eec\u5bf9\u6587\u7ae0\u7f16\u7a0b\u611f\u5174\u8da3\u5417\uff1f\u662f\u5426\u6b63\u5728\u5b66\u4e60\u76f8\u5173\u77e5\u8bc6\u70b9\uff1f\u5982\u679c\u662f\uff0c\u90a3\u4e48\u672c\u6587\u300a\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b\uff0c\u5c31\u5f88\u9002\u5408\u4f60\uff0c\u672c\u7bc7\u6587\u7ae0\u8bb2\u89e3\u7684\u77e5\u8bc6\u70b9\u4e3b\u8981\u5305\u62ec\u3002\u5728\u4e4b\u540e\u7684\u6587\u7ae0\u4e2d\u4e5f\u4f1a\u591a\u591a\u5206\u4eab\u76f8\u5173\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u5bf9\u5927\u5bb6\u7684\u77e5\u8bc6\u79ef\u7d2f\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241119\/1732004682673c4b4a9823c.jpg\" class=\"aligncenter\" title=\"\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u63d2\u56fe\" alt=\"\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u63d2\u56fe\" \/><\/p>\n<p><strong>\u4f7f\u7528python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6<\/strong><\/p>\n<p>\u4e3a\u4e86\u5c06\u4ee5\u8eab\u4efd\u8bc1\u53f7\u547d\u540d\u7684\u6587\u4ef6\u6539\u6210\u4ee5\u59d3\u540d\u547d\u540d\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528python\u63d0\u4f9b\u7684\u6587\u4ef6\u64cd\u4f5c\u548c\u6570\u636e\u6846\u64cd\u4f5c\u529f\u80fd\u3002<\/p>\n<p>\u66f4\u65b0\u540e\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre>import os\nimport pandas as pd\n\n# \u8bfb\u53d6\u5305\u542b\u8eab\u4efd\u8bc1\u53f7\u548c\u59d3\u540d\u6570\u636e\u7684Excel\u6587\u4ef6\ndf = pd.read_excel(\"data.xls\")\n\n# \u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6240\u6709\u6587\u4ef6\u5217\u8868\nid_list = os.listdir(\".\/\")\n\n# \u904d\u5386\u6587\u4ef6\u5217\u8868\nfor id in id_list:\n    # \u5206\u89e3\u6587\u4ef6\u540d\u4ee5\u63d0\u53d6\u8eab\u4efd\u8bc1\u53f7\n    id_p = id[:id.find(\".\")]\n    id_n = id[id.find(\".\"):]\n    \n    # \u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u4ece\u6570\u636e\u6846\u4e2d\u67e5\u627e\u5bf9\u5e94\u7684\u59d3\u540d\n    for row in df.values:\n        if str(row[0]) == str(id_p):\n            new_name = row[1] + id_n\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\u4e2d\uff1a<\/p>\n<ul>\n<li>\u6211\u4eec\u904d\u5386\u6587\u4ef6\u5217\u8868\u3002<\/li>\n<li>\u5206\u89e3\u6587\u4ef6\u540d\u4ee5\u63d0\u53d6\u8eab\u4efd\u8bc1\u53f7\uff08\u5339\u914d\u8eab\u4efd\u8bc1\u53f7\u524d\u7f00\uff09\u3002<\/li>\n<li>\u901a\u8fc7\u904d\u5386\u6570\u636e\u6846\u9010\u884c\u67e5\u627e\u4e0e\u8eab\u4efd\u8bc1\u53f7\u5339\u914d\u7684\u59d3\u540d\u3002<\/li>\n<li>\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u548c\u59d3\u540d\u62fc\u63a5\u65b0\u7684\u6587\u4ef6\u540d\u3002<\/li>\n<li>\u4f7f\u7528 os.rename() \u51fd\u6570\u91cd\u547d\u540d\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u81ea\u52a8\u6279\u91cf\u5c06\u6587\u4ef6\u6539\u6210\u4ee5\u59d3\u540d\u547d\u540d\u3002<\/p>\n<p>\u7ec8\u4e8e\u4ecb\u7ecd\u5b8c\u5566\uff01\u5c0f\u4f19\u4f34\u4eec\uff0c\u8fd9\u7bc7\u5173\u4e8e\u300a\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b\u7684\u4ecb\u7ecd\u5e94\u8be5\u8ba9\u4f60\u6536\u83b7\u591a\u591a\u4e86\u5427\uff01\u6b22\u8fce\u5927\u5bb6\u6536\u85cf\u6216\u5206\u4eab\u7ed9\u66f4\u591a\u9700\u8981\u5b66\u4e60\u7684\u670b\u53cb\u5427~\u7c73\u4e91\u516c\u4f17\u53f7\u4e5f\u4f1a\u53d1\u5e03\u6587\u7ae0\u76f8\u5173\u77e5\u8bc6\uff0c\u5feb\u6765\u5173\u6ce8\u5427\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f \u5c0f\u4f19\u4f34\u4eec\u5bf9\u6587\u7ae0\u7f16\u7a0b\u611f\u5174\u8da3\u5417\uff1f\u662f\u5426\u6b63\u5728\u5b66\u4e60\u76f8\u5173\u77e5\u8bc6\u70b9\uff1f\u5982\u679c\u662f\uff0c\u90a3\u4e48\u672c\u6587\u300a\u5982\u4f55\u7528Python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6\uff1f\u300b\uff0c\u5c31\u5f88\u9002\u5408\u4f60\uff0c\u672c\u7bc7\u6587\u7ae0\u8bb2\u89e3\u7684\u77e5\u8bc6\u70b9\u4e3b\u8981\u5305\u62ec\u3002\u5728\u4e4b\u540e\u7684\u6587\u7ae0\u4e2d\u4e5f\u4f1a\u591a\u591a\u5206\u4eab\u76f8\u5173\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u5bf9\u5927\u5bb6\u7684\u77e5\u8bc6\u79ef\u7d2f\u6709\u6240\u5e2e\u52a9\uff01 \u4f7f\u7528python\u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u6279\u91cf\u91cd\u547d\u540d\u6587\u4ef6 \u4e3a\u4e86\u5c06\u4ee5\u8eab\u4efd\u8bc1\u53f7\u547d\u540d\u7684\u6587\u4ef6\u6539\u6210\u4ee5\u59d3\u540d\u547d\u540d\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528python\u63d0\u4f9b\u7684\u6587\u4ef6\u64cd\u4f5c\u548c\u6570\u636e\u6846\u64cd\u4f5c\u529f\u80fd\u3002 \u66f4\u65b0\u540e\u7684\u4ee3\u7801\u5982\u4e0b\uff1a import os import pandas as pd # \u8bfb\u53d6\u5305\u542b\u8eab\u4efd\u8bc1\u53f7\u548c\u59d3\u540d\u6570\u636e\u7684Excel\u6587\u4ef6 df = pd.read_excel(&#8220;data.xls&#8221;) # \u83b7\u53d6\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6240\u6709\u6587\u4ef6\u5217\u8868 id_list = os.listdir(&#8220;.\/&#8221;) # \u904d\u5386\u6587\u4ef6\u5217\u8868 for id in id_list: # \u5206\u89e3\u6587\u4ef6\u540d\u4ee5\u63d0\u53d6\u8eab\u4efd\u8bc1\u53f7 id_p = id[:id.find(&#8220;.&#8221;)] id_n = id[id.find(&#8220;.&#8221;):] # \u6839\u636e\u8eab\u4efd\u8bc1\u53f7\u4ece\u6570\u636e\u6846\u4e2d\u67e5\u627e\u5bf9\u5e94\u7684\u59d3\u540d for row in df.values: if str(row[0]) == str(id_p): new_name = row[1] + id_n print(f&#8221;\u5f00\u59cb\u91cd\u547d\u540d: {id} -&gt; {new_name}&#8221;) os.rename(id, [&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-50421","post","type-post","status-publish","format-standard","hentry","category-16"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50421","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=50421"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50421\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=50421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=50421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=50421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}