{"id":1079504,"date":"2025-01-08T12:21:29","date_gmt":"2025-01-08T04:21:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1079504.html"},"modified":"2025-01-08T12:21:31","modified_gmt":"2025-01-08T04:21:31","slug":"python%e5%a6%82%e4%bd%95%e7%bb%99%e4%b8%80%e7%bb%84%e6%95%b0%e6%8d%ae%e5%88%86%e7%bb%84-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1079504.html","title":{"rendered":"python\u5982\u4f55\u7ed9\u4e00\u7ec4\u6570\u636e\u5206\u7ec4"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182518\/2fa76a28-90f2-45d3-bb1f-ab8ea24be9db.webp\" alt=\"python\u5982\u4f55\u7ed9\u4e00\u7ec4\u6570\u636e\u5206\u7ec4\" \/><\/p>\n<p><p> <strong>Python\u7ed9\u4e00\u7ec4\u6570\u636e\u5206\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684<code>groupby<\/code>\u51fd\u6570\u3001\u6570\u636e\u6846\u67b6\u5e93<code>pandas<\/code>\u3001\u5b57\u5178\u63a8\u5bfc\u5f0f\u7b49\u3002\u4f7f\u7528<code>pandas<\/code>\u5e93\u7684<code>groupby<\/code>\u65b9\u6cd5\u662f\u8f83\u4e3a\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u64cd\u4f5c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528<code>pandas<\/code>\u5e93\u8fdb\u884c\u6570\u636e\u5206\u7ec4\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u8981\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165<code>pandas<\/code>\u5e93\u3002\u4f7f\u7528<code>pandas<\/code>\u8fdb\u884c\u6570\u636e\u5206\u7ec4\u65f6\uff0c\u4e3b\u8981\u901a\u8fc7<code>groupby<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u8be5\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u3001\u805a\u5408\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165pandas\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5<code>pandas<\/code>\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165<code>pandas<\/code>\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u521b\u5efa\u6570\u636e\u96c6<\/h3>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u96c6\u3002\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684<code>DataFrame<\/code>\u6765\u521b\u5efa\u6570\u636e\u96c6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = {<\/p>\n<p>    &#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;, &#39;David&#39;, &#39;Edward&#39;, &#39;Frank&#39;, &#39;Grace&#39;],<\/p>\n<p>    &#39;Age&#39;: [25, 30, 35, 40, 45, 50, 55],<\/p>\n<p>    &#39;City&#39;: [&#39;New York&#39;, &#39;Chicago&#39;, &#39;New York&#39;, &#39;San Francisco&#39;, &#39;Chicago&#39;, &#39;San Francisco&#39;, &#39;New York&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528groupby\u51fd\u6570\u8fdb\u884c\u6570\u636e\u5206\u7ec4<\/h3>\n<\/p>\n<p><p><code>groupby<\/code>\u51fd\u6570\u662f<code>pandas<\/code>\u5e93\u4e2d\u6700\u5e38\u7528\u7684\u51fd\u6570\u4e4b\u4e00\uff0c\u53ef\u4ee5\u6839\u636e\u67d0\u4e00\u5217\u6216\u591a\u5217\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u3002\u4e0b\u9762\u662f\u51e0\u79cd\u5e38\u89c1\u7684\u4f7f\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u6309\u5355\u5217\u5206\u7ec4<\/h4>\n<\/p>\n<p><p>\u6309\u5355\u5217\u8fdb\u884c\u5206\u7ec4\uff0c\u4f8b\u5982\u6309\u57ce\u5e02\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">grouped = df.groupby(&#39;City&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u6b64\u65f6\uff0c<code>grouped<\/code>\u5bf9\u8c61\u662f\u4e00\u4e2a<code>DataFrameGroupBy<\/code>\u5bf9\u8c61\uff0c\u53ef\u4ee5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u64cd\u4f5c\uff0c\u4f8b\u5982\u8ba1\u7b97\u6bcf\u4e2a\u7ec4\u7684\u5e73\u5747\u5e74\u9f84\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">average_age = grouped[&#39;Age&#39;].mean()<\/p>\n<p>print(average_age)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u6309\u591a\u5217\u5206\u7ec4<\/h4>\n<\/p>\n<p><p>\u4e5f\u53ef\u4ee5\u6309\u591a\u5217\u8fdb\u884c\u5206\u7ec4\uff0c\u4f8b\u5982\u6309\u57ce\u5e02\u548c\u5e74\u9f84\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">grouped = df.groupby([&#39;City&#39;, &#39;Age&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u805a\u5408\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u5404\u79cd\u805a\u5408\u64cd\u4f5c\uff0c\u4f8b\u5982\u6c42\u548c\u3001\u5e73\u5747\u503c\u3001\u8ba1\u6570\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">sum_age = grouped[&#39;Age&#39;].sum()<\/p>\n<p>print(sum_age)<\/p>\n<p>count_people = grouped.size()<\/p>\n<p>print(count_people)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528agg\u51fd\u6570\u8fdb\u884c\u591a\u79cd\u805a\u5408\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p><code>agg<\/code>\u51fd\u6570\u5141\u8bb8\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u591a\u79cd\u805a\u5408\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u6bcf\u4e2a\u57ce\u5e02\u7684\u5e73\u5747\u5e74\u9f84\u548c\u4eba\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">aggregated = grouped[&#39;Age&#39;].agg([&#39;mean&#39;, &#39;count&#39;])<\/p>\n<p>print(aggregated)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5bf9\u5206\u7ec4\u7ed3\u679c\u8fdb\u884c\u6392\u5e8f<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u5bf9\u5206\u7ec4\u540e\u7684\u7ed3\u679c\u8fdb\u884c\u6392\u5e8f\uff0c\u4f8b\u5982\u6309\u5e73\u5747\u5e74\u9f84\u8fdb\u884c\u6392\u5e8f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">sorted_aggregated = aggregated.sort_values(by=&#39;mean&#39;)<\/p>\n<p>print(sorted_aggregated)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u6570\u636e\u5206\u7ec4\u540e\u7684\u8fdb\u4e00\u6b65\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>\u5206\u7ec4\u540e\u7684\u6570\u636e\u53ef\u4ee5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u64cd\u4f5c\uff0c\u4f8b\u5982\u7b5b\u9009\u7279\u5b9a\u7ec4\u7684\u6570\u636e\u3001\u7ed8\u5236\u56fe\u8868\u7b49\u3002\u4f8b\u5982\uff0c\u7b5b\u9009\u51fa\u5e73\u5747\u5e74\u9f84\u5927\u4e8e40\u7684\u57ce\u5e02\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">filtered = aggregated[aggregated[&#39;mean&#39;] &gt; 40]<\/p>\n<p>print(filtered)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u4f7f\u7528transform\u51fd\u6570\u8fdb\u884c\u5206\u7ec4\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p><code>transform<\/code>\u51fd\u6570\u53ef\u4ee5\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u8f6c\u6362\uff0c\u5e76\u5c06\u7ed3\u679c\u8fd4\u56de\u5230\u539f\u59cb\u6570\u636e\u6846\u4e2d\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u6bcf\u4e2a\u4eba\u6240\u5728\u57ce\u5e02\u7684\u5e73\u5747\u5e74\u9f84\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[&#39;City_Average_Age&#39;] = df.groupby(&#39;City&#39;)[&#39;Age&#39;].transform(&#39;mean&#39;)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u4f7f\u7528apply\u51fd\u6570\u8fdb\u884c\u81ea\u5b9a\u4e49\u5206\u7ec4\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p><code>apply<\/code>\u51fd\u6570\u5141\u8bb8\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u81ea\u5b9a\u4e49\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u6bcf\u4e2a\u57ce\u5e02\u7684\u5e74\u9f84\u6807\u51c6\u5dee\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def std_age(group):<\/p>\n<p>    return group[&#39;Age&#39;].std()<\/p>\n<p>std_ages = df.groupby(&#39;City&#39;).apply(std_age)<\/p>\n<p>print(std_ages)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e5d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u8f7b\u677e\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u3001\u805a\u5408\u548c\u5206\u6790\u3002<code>groupby<\/code>\u51fd\u6570\u662f\u6570\u636e\u5206\u6790\u4e2d\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u5feb\u901f\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u5206\u7ec4\u548c\u805a\u5408\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><p>\u603b\u4e4b\uff0c<strong>\u4f7f\u7528<code>pandas<\/code>\u5e93\u7684<code>groupby<\/code>\u51fd\u6570\u662fPython\u4e2d\u7ed9\u4e00\u7ec4\u6570\u636e\u5206\u7ec4\u7684\u5e38\u7528\u65b9\u6cd5<\/strong>\u3002\u901a\u8fc7\u8be5\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u3001\u805a\u5408\u3001\u6392\u5e8f\u3001\u7b5b\u9009\u7b49\u64cd\u4f5c\uff0c\u4ece\u800c\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u4efb\u52a1\u3002\u5728\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\u80fd\u591f\u5927\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u5206\u6790\u80fd\u529b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u5f0f\u662f\u4f7f\u7528Pandas\u5e93\u3002\u901a\u8fc7<code>groupby()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u6309\u7279\u5b9a\u5217\u8fdb\u884c\u5206\u7ec4\uff0c\u4ee5\u4fbf\u5bf9\u6bcf\u4e2a\u7ec4\u6267\u884c\u805a\u5408\u64cd\u4f5c\uff0c\u4f8b\u5982\u6c42\u548c\u3001\u5e73\u5747\u503c\u7b49\u3002<\/p>\n<p><strong>\u4f7f\u7528Pandas\u8fdb\u884c\u5206\u7ec4\u65f6\uff0c\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u805a\u5408\u51fd\u6570\uff1f<\/strong><br \/>\u5728\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u7ec4\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7684\u7279\u6027\u548c\u5206\u6790\u9700\u6c42\u9009\u62e9\u4e0d\u540c\u7684\u805a\u5408\u51fd\u6570\u3002\u5e38\u7528\u7684\u805a\u5408\u51fd\u6570\u5305\u62ec<code>sum()<\/code>\u3001<code>mean()<\/code>\u3001<code>count()<\/code>\u7b49\u3002\u9009\u62e9\u9002\u5408\u7684\u805a\u5408\u51fd\u6570\u6709\u52a9\u4e8e\u51c6\u786e\u5206\u6790\u6570\u636e\u8d8b\u52bf\u548c\u6a21\u5f0f\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u5bf9\u5206\u7ec4\u540e\u7684\u6570\u636e\u8fdb\u884c\u591a\u5c42\u6b21\u805a\u5408\uff1f<\/strong><br \/>\u662f\u7684\uff0cPython\u7684Pandas\u5e93\u652f\u6301\u591a\u5c42\u6b21\u805a\u5408\u3002\u901a\u8fc7\u5728<code>groupby()<\/code>\u4e2d\u6307\u5b9a\u591a\u4e2a\u5217\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5bf9\u6570\u636e\u7684\u591a\u5c42\u6b21\u5206\u7ec4\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u4f7f\u7528<code>agg()<\/code>\u65b9\u6cd5\u6765\u540c\u65f6\u5e94\u7528\u591a\u4e2a\u805a\u5408\u51fd\u6570\uff0c\u7075\u6d3b\u5206\u6790\u6570\u636e\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u5206\u7ec4\u6570\u636e\u4e2d\u7684\u7f3a\u5931\u503c\uff1f<\/strong><br \/>\u5728\u8fdb\u884c\u6570\u636e\u5206\u7ec4\u65f6\uff0c\u7f3a\u5931\u503c\u7684\u5904\u7406\u662f\u4e00\u4e2a\u91cd\u8981\u6b65\u9aa4\u3002\u53ef\u4ee5\u5728\u5206\u7ec4\u524d\u4f7f\u7528<code>fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\uff0c\u6216\u5728\u805a\u5408\u8fc7\u7a0b\u4e2d\u9009\u62e9<code>dropna=True<\/code>\u53c2\u6570\u6765\u5ffd\u7565\u7f3a\u5931\u503c\u3002\u786e\u4fdd\u59a5\u5584\u5904\u7406\u7f3a\u5931\u503c\uff0c\u80fd\u4f7f\u5206\u6790\u7ed3\u679c\u66f4\u51c6\u786e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7ed9\u4e00\u7ec4\u6570\u636e\u5206\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684groupby\u51fd\u6570\u3001\u6570\u636e\u6846\u67b6\u5e93pandas\u3001\u5b57\u5178\u63a8\u5bfc\u5f0f\u7b49 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