{"id":1166354,"date":"2025-01-15T15:31:17","date_gmt":"2025-01-15T07:31:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1166354.html"},"modified":"2025-01-15T15:31:20","modified_gmt":"2025-01-15T07:31:20","slug":"python%e5%a6%82%e4%bd%95%e5%88%a0%e9%99%a4%e8%a1%a8%e6%a0%bc%e7%9a%84%e5%a4%9a%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1166354.html","title":{"rendered":"python\u5982\u4f55\u5220\u9664\u8868\u683c\u7684\u591a\u884c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25210505\/174214f6-c948-4eb0-9e41-0ea8d6eb1f6c.webp\" alt=\"python\u5982\u4f55\u5220\u9664\u8868\u683c\u7684\u591a\u884c\" \/><\/p>\n<p><p> <strong>Python\u5220\u9664\u8868\u683c\u7684\u591a\u884c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001\u6307\u5b9a\u884c\u7d22\u5f15\u8fdb\u884c\u5220\u9664\u3001\u6839\u636e\u6761\u4ef6\u5220\u9664\u3002<\/strong>\u5176\u4e2d\uff0c<strong>\u4f7f\u7528Pandas\u5e93<\/strong>\u662f\u4e00\u79cd\u975e\u5e38\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u3002Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u7ed3\u6784\u548c\u64cd\u4f5c\u5de5\u5177\uff0c\u7279\u522b\u9002\u5408\u7528\u4e8e\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u4e0b\u9762\u6211\u4eec\u6765\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5220\u9664\u8868\u683c\u7684\u591a\u884c\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001Pandas\u5e93\u7684\u5b89\u88c5<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Pandas\u5e93\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u8be5\u5e93\u5df2\u7ecf\u5b89\u88c5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Pandas\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5c31\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165Pandas\u5e93\u4e86\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u52a0\u8f7d\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u52a0\u8f7d\u8868\u683c\u6570\u636e\u3002Pandas\u5e93\u53ef\u4ee5\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff0c\u5982CSV\u3001Excel\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u52a0\u8f7d\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\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>df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;data.xlsx&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u5220\u9664\u6307\u5b9a\u884c\u7d22\u5f15\u7684\u591a\u884c<\/h3>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86<code>drop<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u7d22\u5f15\u6765\u5220\u9664\u591a\u884c\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u5220\u9664\u5355\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u7d22\u5f15\u4e3a2\u7684\u884c<\/p>\n<p>df = df.drop(2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5220\u9664\u591a\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u7d22\u5f15\u4e3a2\u548c4\u7684\u884c<\/p>\n<p>df = df.drop([2, 4])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u91cd\u7f6e\u7d22\u5f15<\/h4>\n<\/p>\n<p><p>\u5220\u9664\u884c\u540e\uff0c\u7d22\u5f15\u53ef\u80fd\u4f1a\u51fa\u73b0\u4e0d\u8fde\u7eed\u7684\u60c5\u51b5\u3002\u53ef\u4ee5\u4f7f\u7528<code>reset_index<\/code>\u65b9\u6cd5\u6765\u91cd\u7f6e\u7d22\u5f15\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u91cd\u7f6e\u7d22\u5f15<\/p>\n<p>df = df.reset_index(drop=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u6839\u636e\u6761\u4ef6\u5220\u9664\u591a\u884c<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u6211\u4eec\u9700\u8981\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u6765\u5220\u9664\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u6765\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u5220\u9664\u6ee1\u8db3\u6761\u4ef6\u7684\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u6240\u6709\u5e74\u9f84\u5927\u4e8e30\u7684\u884c<\/p>\n<p>df = df[df[&#39;age&#39;] &lt;= 30]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5220\u9664\u6ee1\u8db3\u591a\u4e2a\u6761\u4ef6\u7684\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u6240\u6709\u5e74\u9f84\u5927\u4e8e30\u4e14\u6027\u522b\u4e3a\u7537\u6027\u7684\u884c<\/p>\n<p>df = df[(df[&#39;age&#39;] &lt;= 30) | (df[&#39;gender&#39;] != &#39;male&#39;)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u4f7f\u7528<code>drop<\/code>\u7ed3\u5408\u6761\u4ef6\u5220\u9664\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u6240\u6709\u5e74\u9f84\u5927\u4e8e30\u7684\u884c<\/p>\n<p>df = df.drop(df[df[&#39;age&#39;] &gt; 30].index)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5220\u9664\u91cd\u590d\u884c<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u6570\u636e\u65f6\uff0c\u6709\u65f6\u4f1a\u9047\u5230\u91cd\u590d\u7684\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u7684<code>drop_duplicates<\/code>\u65b9\u6cd5\u5220\u9664\u91cd\u590d\u884c\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5220\u9664\u6240\u6709\u91cd\u590d\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u6240\u6709\u91cd\u590d\u884c<\/p>\n<p>df = df.drop_duplicates()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u6839\u636e\u7279\u5b9a\u5217\u5220\u9664\u91cd\u590d\u884c<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6839\u636e&#39;name&#39;\u5217\u5220\u9664\u91cd\u590d\u884c<\/p>\n<p>df = df.drop_duplicates(subset=[&#39;name&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5220\u9664\u884c\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/p>\n<p>df.to_csv(&#39;modified_data.csv&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u4e3aExcel\u6587\u4ef6<\/p>\n<p>df.to_excel(&#39;modified_data.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u7ed3\u5408\u5b9e\u9645\u6848\u4f8b<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u4e0a\u8ff0\u5185\u5bb9\uff0c\u6211\u4eec\u6765\u770b\u4e00\u4e2a\u5b9e\u9645\u6848\u4f8b\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u5458\u5de5\u4fe1\u606f\u7684CSV\u6587\u4ef6\uff0c\u6587\u4ef6\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-csv\">id,name,age,gender,department<\/p>\n<p>1,John,28,male,IT<\/p>\n<p>2,Jane,32,female,HR<\/p>\n<p>3,Tom,25,male,Marketing<\/p>\n<p>4,Alice,29,female,Finance<\/p>\n<p>5,Bob,35,male,IT<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u6211\u4eec\u5e0c\u671b\u5220\u9664\u6240\u6709\u5e74\u9f84\u5927\u4e8e30\u7684\u5458\u5de5\uff0c\u5e76\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\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>df = pd.read_csv(&#39;employees.csv&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5220\u9664\u5e74\u9f84\u5927\u4e8e30\u7684\u5458\u5de5<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u5e74\u9f84\u5927\u4e8e30\u7684\u5458\u5de5<\/p>\n<p>df = df[df[&#39;age&#39;] &lt;= 30]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u91cd\u7f6e\u7d22\u5f15<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u91cd\u7f6e\u7d22\u5f15<\/p>\n<p>df = df.reset_index(drop=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>4\u3001\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u4e3a\u65b0\u7684CSV\u6587\u4ef6<\/p>\n<p>df.to_csv(&#39;modified_employees.csv&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u5b66\u4e60\u4e86\u5982\u4f55\u4f7f\u7528Python\u4e2d\u7684Pandas\u5e93\u5220\u9664\u8868\u683c\u7684\u591a\u884c\u3002\u6211\u4eec\u9996\u5148\u4ecb\u7ecd\u4e86Pandas\u5e93\u7684\u5b89\u88c5\u548c\u6570\u636e\u52a0\u8f7d\u65b9\u6cd5\uff0c\u7136\u540e\u8be6\u7ec6\u8bb2\u89e3\u4e86\u5982\u4f55\u901a\u8fc7\u6307\u5b9a\u884c\u7d22\u5f15\u548c\u6839\u636e\u6761\u4ef6\u5220\u9664\u591a\u884c\u6570\u636e\u3002\u6700\u540e\uff0c\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u6848\u4f8b\u6f14\u793a\u4e86\u5982\u4f55\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684\u6587\u4ef6\u4e2d\u3002<strong>\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5904\u7406\u8868\u683c\u6570\u636e\uff0c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u4e2d\uff0c\u5220\u9664\u591a\u884c\u6570\u636e\u53ea\u662f\u5176\u4e2d\u7684\u4e00\u90e8\u5206\u64cd\u4f5c\u3002Pandas\u5e93\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u5982\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u8f6c\u6362\u3001\u6570\u636e\u5408\u5e76\u7b49\u3002\u5efa\u8bae\u8bfb\u8005\u7ee7\u7eed\u5b66\u4e60\u548c\u63a2\u7d22Pandas\u5e93\u7684\u5176\u4ed6\u529f\u80fd\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u5e94\u5bf9\u5404\u79cd\u6570\u636e\u5904\u7406\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><h3>\u4e5d\u3001\u5e38\u89c1\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u95ee\u9898\uff0c\u4e0b\u9762\u5217\u51fa\u4e86\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u53ca\u5176\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5220\u9664\u884c\u540e\u7d22\u5f15\u4e0d\u8fde\u7eed<\/h4>\n<\/p>\n<p><p>\u5728\u5220\u9664\u884c\u540e\uff0c\u7d22\u5f15\u53ef\u80fd\u4f1a\u51fa\u73b0\u4e0d\u8fde\u7eed\u7684\u60c5\u51b5\u3002\u53ef\u4ee5\u4f7f\u7528<code>reset_index<\/code>\u65b9\u6cd5\u6765\u91cd\u7f6e\u7d22\u5f15\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u91cd\u7f6e\u7d22\u5f15<\/p>\n<p>df = df.reset_index(drop=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5220\u9664\u884c\u540e\u6570\u636e\u7c7b\u578b\u53d8\u5316<\/h4>\n<\/p>\n<p><p>\u5728\u5220\u9664\u884c\u540e\uff0c\u6570\u636e\u7c7b\u578b\u53ef\u80fd\u4f1a\u53d1\u751f\u53d8\u5316\u3002\u53ef\u4ee5\u4f7f\u7528<code>astype<\/code>\u65b9\u6cd5\u6765\u8f6c\u6362\u6570\u636e\u7c7b\u578b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06&#39;age&#39;\u5217\u8f6c\u6362\u4e3a\u6574\u6570\u7c7b\u578b<\/p>\n<p>df[&#39;age&#39;] = df[&#39;age&#39;].astype(int)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5220\u9664\u884c\u540e\u6570\u636e\u4e22\u5931<\/h4>\n<\/p>\n<p><p>\u5728\u5220\u9664\u884c\u540e\uff0c\u6570\u636e\u53ef\u80fd\u4f1a\u4e22\u5931\u3002\u53ef\u4ee5\u5728\u5220\u9664\u884c\u524d\u5907\u4efd\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5907\u4efd\u6570\u636e<\/p>\n<p>backup_df = df.copy()<\/p>\n<h2><strong>\u5220\u9664\u884c\u64cd\u4f5c<\/strong><\/h2>\n<p>df = df[df[&#39;age&#39;] &lt;= 30]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u3001\u4f18\u5316\u5efa\u8bae<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u64cd\u4f5c\u6548\u7387\u5c24\u4e3a\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u5efa\u8bae\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u4f7f\u7528\u77e2\u91cf\u5316\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u5c3d\u91cf\u4f7f\u7528Pandas\u7684\u77e2\u91cf\u5316\u64cd\u4f5c\uff0c\u800c\u4e0d\u662f\u5faa\u73af\u904d\u5386\u6570\u636e\u3002\u77e2\u91cf\u5316\u64cd\u4f5c\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u51cf\u5c11\u6570\u636e\u590d\u5236<\/h4>\n<\/p>\n<p><p>\u5728\u5220\u9664\u884c\u65f6\uff0c\u5c3d\u91cf\u51cf\u5c11\u6570\u636e\u7684\u590d\u5236\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>inplace=True<\/code>\u53c2\u6570\u76f4\u63a5\u5728\u539fDataFrame\u4e0a\u8fdb\u884c\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u91cd\u590d\u884c<\/p>\n<p>df.drop_duplicates(inplace=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5206\u6279\u5904\u7406\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5bf9\u4e8e\u8d85\u5927\u89c4\u6a21\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u5206\u6279\u8bfb\u53d6\u548c\u5904\u7406\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u5206\u6279\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n<p>chunk_size = 10000<\/p>\n<p>chunks = pd.read_csv(&#39;large_data.csv&#39;, chunksize=chunk_size)<\/p>\n<p>for chunk in chunks:<\/p>\n<p>    # \u5904\u7406\u6bcf\u4e2a\u6570\u636e\u5757<\/p>\n<p>    chunk = chunk[chunk[&#39;age&#39;] &lt;= 30]<\/p>\n<p>    # \u4fdd\u5b58\u5904\u7406\u540e\u7684\u6570\u636e<\/p>\n<p>    chunk.to_csv(&#39;processed_data.csv&#39;, mode=&#39;a&#39;, header=False, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u4e00\u3001\u8fdb\u9636\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>\u5728\u638c\u63e1\u4e86\u57fa\u7840\u7684\u884c\u5220\u9664\u64cd\u4f5c\u540e\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4e00\u4e9b\u8fdb\u9636\u64cd\u4f5c\uff0c\u5982\u6761\u4ef6\u5220\u9664\u3001\u57fa\u4e8e\u7d22\u5f15\u7684\u5220\u9664\u7b49\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u6761\u4ef6\u5220\u9664<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u8fdb\u884c\u6761\u4ef6\u5220\u9664\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5220\u9664\u5e74\u9f84\u5927\u4e8e30\u4e14\u90e8\u95e8\u4e3aIT\u7684\u884c<\/p>\n<p>df = df[~((df[&#39;age&#39;] &gt; 30) &amp; (df[&#39;department&#39;] == &#39;IT&#39;))]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u57fa\u4e8e\u7d22\u5f15\u7684\u5220\u9664<\/h4>\n<\/p>\n<p><p>\u5c06\u7279\u5b9a\u6761\u4ef6\u7684\u884c\u7d22\u5f15\u63d0\u53d6\u51fa\u6765\uff0c\u518d\u4f7f\u7528<code>drop<\/code>\u65b9\u6cd5\u5220\u9664\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u627e\u5230\u5e74\u9f84\u5927\u4e8e30\u7684\u884c\u7d22\u5f15<\/p>\n<p>indices_to_drop = df[df[&#39;age&#39;] &gt; 30].index<\/p>\n<h2><strong>\u5220\u9664\u8fd9\u4e9b\u884c<\/strong><\/h2>\n<p>df = df.drop(indices_to_drop)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u4e8c\u3001\u603b\u7ed3\u4e0e\u5c55\u671b<\/h3>\n<\/p>\n<p><p>\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u4e2d\u7684Pandas\u5e93\u5220\u9664\u8868\u683c\u7684\u591a\u884c\u6570\u636e\u3002\u901a\u8fc7\u5b9e\u4f8b\u6f14\u793a\u548c\u5e38\u89c1\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5e0c\u671b\u8bfb\u8005\u80fd\u591f\u66f4\u597d\u5730\u638c\u63e1\u8fd9\u4e00\u6280\u80fd\u3002\u5728\u6570\u636e\u5904\u7406\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6570\u636e\u7684\u6e05\u6d17\u548c\u9884\u5904\u7406\u662f\u975e\u5e38\u91cd\u8981\u7684\u6b65\u9aa4\u3002\u638c\u63e1Pandas\u5e93\u7684\u5404\u79cd\u64cd\u4f5c\uff0c\u80fd\u591f\u6781\u5927\u5730\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<p><p>\u4eca\u540e\uff0c\u53ef\u4ee5\u7ee7\u7eed\u6df1\u5165\u5b66\u4e60Pandas\u5e93\u7684\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u6570\u636e\u900f\u89c6\u8868\u3001\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5904\u7406\u7b49\u3002\u540c\u65f6\uff0c\u4e5f\u53ef\u4ee5\u5b66\u4e60\u5176\u4ed6\u6570\u636e\u5904\u7406\u5e93\uff0c\u5982Numpy\u3001Dask\u7b49\uff0c\u4ee5\u5e94\u5bf9\u66f4\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u9700\u6c42\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u795d\u4f60\u5728\u6570\u636e\u5904\u7406\u7684\u9053\u8def\u4e0a\u53d6\u5f97\u66f4\u5927\u7684\u8fdb\u6b65\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5220\u9664Pandas DataFrame\u4e2d\u7684\u591a\u884c\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u5982\u679c\u4f60\u60f3\u5220\u9664DataFrame\u4e2d\u7684\u591a\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>drop()<\/code>\u65b9\u6cd5\u3002\u6bd4\u5982\uff0c\u5047\u8bbe\u4f60\u6709\u4e00\u4e2aDataFrame\u5e76\u4e14\u60f3\u8981\u5220\u9664\u7d22\u5f15\u4e3a1\u548c2\u7684\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<code>df.drop([1, 2], inplace=True)<\/code>\u3002\u8bbe\u7f6e<code>inplace=True<\/code>\u4f1a\u76f4\u63a5\u5728\u539f\u59cbDataFrame\u4e0a\u8fdb\u884c\u4fee\u6539\uff0c\u800c\u4e0d\u662f\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\u3002<\/p>\n<p><strong>\u5728\u5220\u9664\u8868\u683c\u884c\u65f6\uff0c\u6709\u54ea\u4e9b\u6761\u4ef6\u53ef\u4ee5\u7528\u6765\u7b5b\u9009\uff1f<\/strong><br \/>\u53ef\u4ee5\u6839\u636e\u6761\u4ef6\u6765\u9009\u62e9\u6027\u5220\u9664\u884c\uff0c\u4f8b\u5982\uff0c\u5982\u679c\u60f3\u8981\u5220\u9664\u67d0\u5217\u503c\u5927\u4e8e\u7279\u5b9a\u6570\u503c\u7684\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u3002\u4f8b\u5982\uff0c<code>df = df[df[&#39;column_name&#39;] &lt;= value]<\/code>\u5c06\u4fdd\u7559\u2018column_name\u2019\u5217\u4e2d\u5c0f\u4e8e\u6216\u7b49\u4e8e\u7279\u5b9a\u503c\u7684\u6240\u6709\u884c\uff0c\u4ece\u800c\u5b9e\u73b0\u884c\u7684\u5220\u9664\u3002<\/p>\n<p><strong>\u5728\u5220\u9664\u591a\u884c\u540e\uff0c\u5982\u4f55\u91cd\u7f6eDataFrame\u7684\u7d22\u5f15\uff1f<\/strong><br \/>\u5728\u5220\u9664\u591a\u884c\u540e\uff0c\u539f\u6709\u7684\u7d22\u5f15\u53ef\u80fd\u4f1a\u4e0d\u8fde\u7eed\u3002\u5982\u679c\u9700\u8981\u91cd\u7f6e\u7d22\u5f15\uff0c\u53ef\u4ee5\u4f7f\u7528<code>reset_index()<\/code>\u65b9\u6cd5\u3002\u53ef\u4ee5\u901a\u8fc7<code>df.reset_index(drop=True, inplace=True)<\/code>\u6765\u91cd\u7f6e\u7d22\u5f15\uff0c\u5e76\u4e14\u901a\u8fc7\u8bbe\u7f6e<code>drop=True<\/code>\u907f\u514d\u5c06\u65e7\u7d22\u5f15\u4f5c\u4e3a\u65b0\u5217\u6dfb\u52a0\u5230DataFrame\u4e2d\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u5220\u9664\u8868\u683c\u591a\u884c\u65f6\uff0c\u662f\u5426\u4f1a\u5f71\u54cd\u539f\u6570\u636e\uff1f<\/strong><br \/>\u5982\u679c\u5728\u4f7f\u7528<code>drop()<\/code>\u65b9\u6cd5\u65f6\u8bbe\u7f6e\u4e86<code>inplace=True<\/code>\uff0c\u5219\u4f1a\u76f4\u63a5\u5728\u539f\u59cbDataFrame\u4e0a\u8fdb\u884c\u4fee\u6539\uff0c\u8fd9\u6837\u539f\u6570\u636e\u5c06\u4f1a\u53d7\u5230\u5f71\u54cd\u3002\u5982\u679c\u4e0d\u5e0c\u671b\u5f71\u54cd\u539f\u6570\u636e\uff0c\u53ef\u4ee5\u5728\u5220\u9664\u524d\u521b\u5efaDataFrame\u7684\u526f\u672c\uff0c\u6216\u5728<code>drop()<\/code>\u65b9\u6cd5\u4e2d\u4e0d\u4f7f\u7528<code>inplace<\/code>\u53c2\u6570\uff0c\u8fd9\u6837\u53ef\u4ee5\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5220\u9664\u8868\u683c\u7684\u591a\u884c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001\u6307\u5b9a\u884c\u7d22\u5f15\u8fdb\u884c\u5220\u9664\u3001\u6839\u636e\u6761\u4ef6\u5220\u9664\u3002\u5176\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u662f [&hellip;]","protected":false},"author":3,"featured_media":1166367,"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\/1166354"}],"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=1166354"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1166354\/revisions"}],"predecessor-version":[{"id":1166369,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1166354\/revisions\/1166369"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1166367"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1166354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1166354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1166354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}