{"id":1145371,"date":"2025-01-08T23:07:38","date_gmt":"2025-01-08T15:07:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1145371.html"},"modified":"2025-01-08T23:07:41","modified_gmt":"2025-01-08T15:07:41","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e4%b8%80%e8%a1%8c%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%a4%9a%e8%a1%8c%e4%b8%80%e5%88%97-python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1145371.html","title":{"rendered":"\u5982\u4f55\u5c06\u4e00\u884c\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217 python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182010\/6710ba20-12d0-4a1f-80ed-a46dc70bc022.webp\" alt=\"\u5982\u4f55\u5c06\u4e00\u884c\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217 python\" \/><\/p>\n<p><p> <strong>\u8981\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\uff0cPython \u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u57fa\u672c\u7684\u5b57\u7b26\u4e32\u64cd\u4f5c\u3001\u5217\u8868\u64cd\u4f5c\u4ee5\u53ca\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\u5982 Pandas\u3002<\/strong> \u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528 Pandas \u5e93\u3002Pandas \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u5de5\u5177\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3002\u4f7f\u7528 Pandas\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001Pandas\u7b80\u4ecb\u53ca\u5b89\u88c5<\/h3>\n<\/p>\n<p><p>Pandas \u662f Python \u7684\u4e00\u4e2a\u5f00\u6e90\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u3001\u6613\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5 Pandas\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528 Pandas \u5c06\u4e00\u884c\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217<\/h3>\n<\/p>\n<p><h4>1. \u52a0\u8f7d\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u4e00\u884c\u6570\u636e\u7684 CSV \u6587\u4ef6\uff0c\u6587\u4ef6\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-csv\">a,b,c,d,e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u6211\u4eec\u9996\u5148\u9700\u8981\u4f7f\u7528 Pandas \u52a0\u8f7d\u8fd9\u4e2a\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>data = pd.read_csv(&#39;data.csv&#39;, header=None)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u8f6c\u6362\u6570\u636e\u683c\u5f0f<\/h4>\n<\/p>\n<p><p>\u52a0\u8f7d\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 Pandas \u63d0\u4f9b\u7684\u65b9\u6cd5\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u4e00\u5217<\/p>\n<p>data = data.T<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528\u4e86 Pandas \u7684\u8f6c\u7f6e\uff08transpose\uff09\u65b9\u6cd5 <code>T<\/code>\uff0c\u5c06\u6570\u636e\u4ece\u4e00\u884c\u8f6c\u6362\u4e3a\u4e00\u5217\u3002<\/p>\n<\/p>\n<p><h4>3. \u4fdd\u5b58\u8f6c\u6362\u540e\u7684\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8f6c\u6362\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u4e00\u4e2a\u65b0\u7684 CSV \u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u5230\u65b0\u7684CSV\u6587\u4ef6<\/p>\n<p>data.to_csv(&#39;converted_data.csv&#39;, index=False, header=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u5176\u4ed6\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528 Pandas\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u7eaf Python \u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u8f6c\u6362\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528\u5217\u8868\u64cd\u4f5c\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u539f\u59cb\u6570\u636e<\/p>\n<p>data = &#39;a,b,c,d,e&#39;<\/p>\n<h2><strong>\u5c06\u6570\u636e\u62c6\u5206\u4e3a\u5217\u8868<\/strong><\/h2>\n<p>data_list = data.split(&#39;,&#39;)<\/p>\n<h2><strong>\u5c06\u5217\u8868\u8f6c\u6362\u4e3a\u591a\u884c\u5b57\u7b26\u4e32<\/strong><\/h2>\n<p>converted_data = &#39;\\n&#39;.join(data_list)<\/p>\n<h2><strong>\u6253\u5370\u8f6c\u6362\u540e\u7684\u6570\u636e<\/strong><\/h2>\n<p>print(converted_data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u5c06\u539f\u59cb\u7684\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u6570\u636e\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u5360\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\u5728\u5b9e\u9645\u4e2d\u6709\u5f88\u591a\u5e94\u7528\u573a\u666f\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u6570\u636e\u6e05\u6d17<\/strong>\uff1a\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u7ecf\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u548c\u6e05\u6d17\u3002\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u3002<\/li>\n<li><strong>\u6570\u636e\u5b58\u50a8<\/strong>\uff1a\u6709\u4e9b\u6570\u636e\u5e93\u6216\u6570\u636e\u5b58\u50a8\u7cfb\u7edf\u8981\u6c42\u6570\u636e\u4ee5\u7279\u5b9a\u7684\u683c\u5f0f\u5b58\u50a8\u3002\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\u53ef\u4ee5\u6ee1\u8db3\u8fd9\u4e9b\u8981\u6c42\u3002<\/li>\n<li><strong>\u6570\u636e\u5c55\u793a<\/strong>\uff1a\u5728\u6570\u636e\u53ef\u89c6\u5316\u8fc7\u7a0b\u4e2d\uff0c\u6709\u65f6\u9700\u8981\u5c06\u6570\u636e\u4ee5\u7279\u5b9a\u7684\u5f62\u5f0f\u5c55\u793a\u3002\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u5c55\u793a\u6570\u636e\u3002<\/li>\n<\/ol>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c<strong>Pandas \u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5de5\u5177\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e<\/strong>\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86\u4f7f\u7528\u7eaf Python \u65b9\u6cd5\u5b9e\u73b0\u8fd9\u4e00\u8f6c\u6362\u3002\u65e0\u8bba\u662f\u4f7f\u7528 Pandas \u8fd8\u662f\u7eaf Python \u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u5728\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u4e2d\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u7684DataFrame\u3001NumPy\u6570\u7ec4\u6216\u7b80\u5355\u7684Python\u5217\u8868\u3002\u5177\u4f53\u800c\u8a00\uff0c\u60a8\u53ef\u4ee5\u5148\u5c06\u6570\u636e\u5206\u5272\u4e3a\u5217\u8868\uff0c\u7136\u540e\u518d\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u6216\u5176\u4ed6\u5f62\u5f0f\uff0c\u4ee5\u4fbf\u4e8e\u663e\u793a\u4e3a\u591a\u884c\u4e00\u5217\u3002<\/p>\n<p><strong>\u4f7f\u7528Pandas\u5e93\u8f6c\u6362\u6570\u636e\u7684\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u8f6c\u6362\u901a\u5e38\u6d89\u53ca\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u9996\u5148\uff0c\u5c06\u6570\u636e\u8bfb\u53d6\u5230\u4e00\u4e2aDataFrame\u4e2d\uff0c\u7136\u540e\u4f7f\u7528<code>melt()<\/code>\u6216<code>stack()<\/code>\u7b49\u51fd\u6570\u8fdb\u884c\u8f6c\u6362\u3002\u6700\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7<code>reset_index()<\/code>\u6765\u8c03\u6574\u7d22\u5f15\uff0c\u4f7f\u5176\u66f4\u6613\u4e8e\u9605\u8bfb\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u6781\u5927\u5730\u65b9\u4fbf\u4e86\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<p><strong>\u5728\u6ca1\u6709\u5916\u90e8\u5e93\u7684\u60c5\u51b5\u4e0b\uff0c\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u8f6c\u6362\uff1f<\/strong><br \/>\u5982\u679c\u5e0c\u671b\u4e0d\u4f9d\u8d56\u4e8e\u5916\u90e8\u5e93\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u6807\u51c6Python\u5b9e\u73b0\u3002\u53ef\u4ee5\u4f7f\u7528<code>split()<\/code>\u65b9\u6cd5\u5c06\u5b57\u7b26\u4e32\u5206\u5272\u4e3a\u5217\u8868\uff0c\u7136\u540e\u4f7f\u7528\u5faa\u73af\u5c06\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u6253\u5370\u4e3a\u65b0\u7684\u4e00\u884c\u3002\u53e6\u4e00\u79cd\u65b9\u5f0f\u662f\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u5c06\u6570\u636e\u76f4\u63a5\u8f6c\u6362\u4e3a\u6240\u9700\u7684\u683c\u5f0f\u3002<\/p>\n<p><strong>\u8f6c\u6362\u540e\u7684\u6570\u636e\u5982\u4f55\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\uff1f<\/strong><br \/>\u5b8c\u6210\u884c\u5217\u8f6c\u6362\u540e\uff0c\u60a8\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\uff0c\u4f8b\u5982\u7b5b\u9009\u3001\u6392\u5e8f\u6216\u805a\u5408\u3002\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u4ee5\u901a\u8fc7Pandas\u3001NumPy\u6216\u8005\u76f4\u63a5\u4f7f\u7528Python\u5185\u7f6e\u7684\u529f\u80fd\u5b9e\u73b0\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u590d\u6742\u6027\u548c\u60a8\u7684\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5c06\u4e00\u884c\u6570\u636e\u8f6c\u6362\u4e3a\u591a\u884c\u4e00\u5217\u6570\u636e\uff0cPython \u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u57fa\u672c\u7684\u5b57\u7b26\u4e32\u64cd\u4f5c\u3001\u5217\u8868\u64cd\u4f5c\u4ee5\u53ca\u5f3a\u5927\u7684\u6570\u636e [&hellip;]","protected":false},"author":3,"featured_media":1145382,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1145371"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1145371"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1145371\/revisions"}],"predecessor-version":[{"id":1145383,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1145371\/revisions\/1145383"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1145382"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1145371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1145371"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1145371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}