{"id":955164,"date":"2024-12-27T02:10:44","date_gmt":"2024-12-26T18:10:44","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/955164.html"},"modified":"2024-12-27T02:10:46","modified_gmt":"2024-12-26T18:10:46","slug":"python-pandas%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/955164.html","title":{"rendered":"python pandas\u5982\u4f55\u8868\u793a\u884c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25095202\/5f8d4202-5494-42ef-ae6a-f847cc05aba0.webp\" alt=\"python pandas\u5982\u4f55\u8868\u793a\u884c\" \/><\/p>\n<p><p> <strong>\u5728Python\u7684Pandas\u5e93\u4e2d\uff0c\u884c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528DataFrame\u7684\u7d22\u5f15\uff08index\uff09\u6765\u8868\u793a\u3001\u53ef\u4ee5\u901a\u8fc7iloc\u548cloc\u65b9\u6cd5\u6765\u8bbf\u95ee\u3001\u53ef\u4ee5\u901a\u8fc7\u5207\u7247\u64cd\u4f5c\u6765\u9009\u62e9\u7279\u5b9a\u8303\u56f4\u7684\u884c\u3001\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u8fc7\u6ee4\u6765\u9009\u62e9\u7279\u5b9a\u7684\u884c\u3002<\/strong> \u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u7ba1\u7406\u548c\u5206\u6790\u6570\u636e\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528\u7d22\u5f15\u8868\u793a\u884c<\/h3>\n<\/p>\n<p><p>Pandas DataFrame\u7684\u6bcf\u4e00\u884c\u90fd\u6709\u4e00\u4e2a\u884c\u7d22\u5f15\uff0c\u7528\u4e8e\u552f\u4e00\u6807\u8bc6\u8be5\u884c\u3002\u7d22\u5f15\u53ef\u4ee5\u662f\u9ed8\u8ba4\u7684\u6574\u6570\u7d22\u5f15\uff0c\u4e5f\u53ef\u4ee5\u662f\u81ea\u5b9a\u4e49\u7684\u6807\u7b7e\u7d22\u5f15\u3002<\/p>\n<\/p>\n<p><h4>1. \u9ed8\u8ba4\u6574\u6570\u7d22\u5f15<\/h4>\n<\/p>\n<p><p>\u5f53\u521b\u5efaDataFrame\u65f6\uff0c\u5982\u679c\u6ca1\u6709\u6307\u5b9a\u7d22\u5f15\uff0cPandas\u4f1a\u81ea\u52a8\u4e3a\u6bcf\u4e00\u884c\u5206\u914d\u4e00\u4e2a\u4ece0\u5f00\u59cb\u7684\u6574\u6570\u7d22\u5f15\u3002\u8fd9\u79cd\u7d22\u5f15\u65b9\u5f0f\u7b80\u5355\u76f4\u89c2\uff0c\u9002\u5408\u4e8e\u6570\u636e\u4e0d\u9700\u8981\u7279\u522b\u6807\u8bc6\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>data = {&#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;],<\/p>\n<p>        &#39;Age&#39;: [25, 30, 35]}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0cDataFrame <code>df<\/code> \u7684\u884c\u7d22\u5f15\u4e3a0, 1, 2\u3002<\/p>\n<\/p>\n<p><h4>2. \u81ea\u5b9a\u4e49\u6807\u7b7e\u7d22\u5f15<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u9700\u8981\u66f4\u76f4\u89c2\u5730\u6807\u8bc6\u6bcf\u4e00\u884c\uff0c\u53ef\u4ee5\u5728\u521b\u5efaDataFrame\u65f6\u6307\u5b9a\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7684\u6807\u7b7e\u7d22\u5f15\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = {&#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;],<\/p>\n<p>        &#39;Age&#39;: [25, 30, 35]}<\/p>\n<p>df = pd.DataFrame(data, index=[&#39;a&#39;, &#39;b&#39;, &#39;c&#39;])<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u884c\u7d22\u5f15\u88ab\u8bbe\u7f6e\u4e3a&#39;a&#39;, &#39;b&#39;, &#39;c&#39;\uff0c\u8fd9\u4f7f\u5f97\u6570\u636e\u7684\u8868\u793a\u66f4\u52a0\u7075\u6d3b\u4e14\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528iloc\u548cloc\u65b9\u6cd5\u8bbf\u95ee\u884c<\/h3>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86iloc\u548cloc\u65b9\u6cd5\uff0c\u5206\u522b\u7528\u4e8e\u57fa\u4e8e\u6574\u6570\u4f4d\u7f6e\u548c\u6807\u7b7e\u6765\u8bbf\u95ee\u884c\u3002<\/p>\n<\/p>\n<p><h4>1. iloc\u65b9\u6cd5<\/h4>\n<\/p>\n<p><p><code>iloc<\/code>\u65b9\u6cd5\u7528\u4e8e\u57fa\u4e8e\u6574\u6570\u7d22\u5f15\u4f4d\u7f6e\u6765\u8bbf\u95ee\u884c\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u7684\u4f4d\u7f6e\u6765\u83b7\u53d6\u76f8\u5e94\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u83b7\u53d6\u7b2c\u4e00\u884c<\/p>\n<p>first_row = df.iloc[0]<\/p>\n<p>print(first_row)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. loc\u65b9\u6cd5<\/h4>\n<\/p>\n<p><p><code>loc<\/code>\u65b9\u6cd5\u7528\u4e8e\u57fa\u4e8e\u6807\u7b7e\u7d22\u5f15\u6765\u8bbf\u95ee\u884c\uff0c\u9002\u5408\u4e8eDataFrame\u4f7f\u7528\u81ea\u5b9a\u4e49\u6807\u7b7e\u7d22\u5f15\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u83b7\u53d6\u6807\u7b7e\u4e3a&#39;b&#39;\u7684\u884c<\/p>\n<p>b_row = df.loc[&#39;b&#39;]<\/p>\n<p>print(b_row)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u5207\u7247\u64cd\u4f5c\u9009\u62e9\u884c<\/h3>\n<\/p>\n<p><p>Pandas\u5141\u8bb8\u4f7f\u7528\u5207\u7247\u64cd\u4f5c\u7b26\u6765\u9009\u62e9\u8fde\u7eed\u7684\u591a\u884c\u6570\u636e\uff0c\u8fd9\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u9009\u62e9\u4ece\u7b2c\u4e8c\u884c\u5230\u6700\u540e\u4e00\u884c<\/p>\n<p>subset = df.iloc[1:]<\/p>\n<p>print(subset)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5207\u7247\u64cd\u4f5c\u53ef\u4ee5\u4e0e<code>iloc<\/code>\u548c<code>loc<\/code>\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u66f4\u52a0\u7075\u6d3b\u7684\u65b9\u5f0f\u9009\u62e9\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u6761\u4ef6\u8fc7\u6ee4\u9009\u62e9\u884c<\/h3>\n<\/p>\n<p><p>\u6761\u4ef6\u8fc7\u6ee4\u662f\u4e00\u79cd\u6839\u636e\u6761\u4ef6\u8868\u8fbe\u5f0f\u6765\u9009\u62e9\u884c\u7684\u65b9\u5f0f\uff0c\u9002\u7528\u4e8e\u4ece\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u7684\u5b50\u96c6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u9009\u62e9\u5e74\u9f84\u5927\u4e8e25\u7684\u884c<\/p>\n<p>filtered_df = df[df[&#39;Age&#39;] &gt; 25]<\/p>\n<p>print(filtered_df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u5728\u6570\u636e\u5206\u6790\u4e2d\u975e\u5e38\u5e38\u89c1\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u4ece\u5927\u91cf\u6570\u636e\u4e2d\u63d0\u53d6\u7279\u5b9a\u4fe1\u606f\u65f6\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u638c\u63e1\u5982\u4f55\u5728Pandas\u4e2d\u8868\u793a\u548c\u64cd\u4f5c\u884c\u662f\u6570\u636e\u5206\u6790\u7684\u91cd\u8981\u6280\u80fd\u3002\u901a\u8fc7<strong>\u7d22\u5f15\u3001iloc\u548cloc\u65b9\u6cd5\u3001\u5207\u7247\u64cd\u4f5c\u548c\u6761\u4ef6\u8fc7\u6ee4<\/strong>\uff0c\u53ef\u4ee5\u7075\u6d3b\u9ad8\u6548\u5730\u7ba1\u7406\u6570\u636e\u3002\u65e0\u8bba\u662f\u5904\u7406\u5c11\u91cf\u6570\u636e\u8fd8\u662f\u6d77\u91cf\u6570\u636e\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\uff0c\u63d0\u9ad8\u6570\u636e\u64cd\u4f5c\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6839\u636e\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5b8c\u6210\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python Pandas\u4e2d\u9009\u62e9\u7279\u5b9a\u7684\u884c\uff1f<\/strong><br \/>\u5728Pandas\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>.loc[]<\/code>\u548c<code>.iloc[]<\/code>\u65b9\u6cd5\u6765\u9009\u62e9\u7279\u5b9a\u7684\u884c\u3002<code>.loc[]<\/code>\u662f\u57fa\u4e8e\u6807\u7b7e\u9009\u62e9\u884c\uff0c\u800c<code>.iloc[]<\/code>\u5219\u662f\u57fa\u4e8e\u6574\u6570\u4f4d\u7f6e\u9009\u62e9\u3002\u4f8b\u5982\uff0c<code>df.loc[2]<\/code>\u5c06\u8fd4\u56deDataFrame\u4e2d\u7d22\u5f15\u4e3a2\u7684\u884c\uff0c\u800c<code>df.iloc[2]<\/code>\u5c06\u8fd4\u56de\u7b2c\u4e09\u884c\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bbf\u95ee\u548c\u64cd\u4f5c\u6240\u9700\u7684\u884c\u6570\u636e\u3002<\/p>\n<p><strong>\u600e\u6837\u8fc7\u6ee4Pandas DataFrame\u4e2d\u7684\u884c\uff1f<\/strong><br \/>\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u7b5b\u9009\u6765\u8fc7\u6ee4DataFrame\u4e2d\u7684\u884c\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6709\u4e00\u4e2aDataFrame <code>df<\/code>\uff0c\u5e76\u5e0c\u671b\u9009\u62e9\u67d0\u4e00\u5217\u503c\u5927\u4e8e\u7279\u5b9a\u6570\u503c\u7684\u6240\u6709\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df[df[&#39;column_name&#39;] &gt; value]<\/code>\u3002\u8fd9\u79cd\u65b9\u5f0f\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u7075\u6d3b\u5730\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u63d0\u53d6\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Pandas\u4e2d\u6dfb\u52a0\u6216\u5220\u9664\u884c\uff1f<\/strong><br \/>\u8981\u6dfb\u52a0\u65b0\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>DataFrame.append()<\/code>\u65b9\u6cd5\u6216<code>pd.concat()<\/code>\u51fd\u6570\u3002\u793a\u4f8b\uff1a<code>df = df.append(new_row, ignore_index=True)<\/code>\u3002\u8981\u5220\u9664\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df.drop()<\/code>\u65b9\u6cd5\uff0c\u6307\u5b9a\u8981\u5220\u9664\u7684\u884c\u7d22\u5f15\u3002\u4f8b\u5982\uff0c<code>df.drop(index=2)<\/code>\u5c06\u5220\u9664\u7d22\u5f15\u4e3a2\u7684\u884c\u3002\u8fd9\u6837\u53ef\u4ee5\u6709\u6548\u7ba1\u7406DataFrame\u7684\u7ed3\u6784\u548c\u5185\u5bb9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u7684Pandas\u5e93\u4e2d\uff0c\u884c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528DataFrame\u7684\u7d22\u5f15\uff08index\uff09\u6765\u8868\u793a\u3001\u53ef\u4ee5\u901a\u8fc7iloc [&hellip;]","protected":false},"author":3,"featured_media":955168,"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\/955164"}],"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=955164"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/955164\/revisions"}],"predecessor-version":[{"id":955171,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/955164\/revisions\/955171"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/955168"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=955164"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=955164"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=955164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}