{"id":933549,"date":"2024-12-26T18:17:36","date_gmt":"2024-12-26T10:17:36","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/933549.html"},"modified":"2024-12-26T18:17:40","modified_gmt":"2024-12-26T10:17:40","slug":"python-%e5%a6%82%e4%bd%95%e9%80%89%e5%87%ba%e5%87%a0%e5%88%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/933549.html","title":{"rendered":"python \u5982\u4f55\u9009\u51fa\u51e0\u5217"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25070941\/13f81c91-fe3c-4a63-a723-f76e3f9ab54d.webp\" alt=\"python \u5982\u4f55\u9009\u51fa\u51e0\u5217\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u9009\u51fa\u51e0\u5217\u6570\u636e\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\u3001\u4ee5\u53ca\u539f\u751f\u7684Python\u5217\u8868\u548c\u5b57\u5178\u3002<\/strong>\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u901a\u8fc7Pandas\u5e93\u6765\u5904\u7406\u6570\u636e\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b80\u4fbf\u7684\u64cd\u4f5c\u65b9\u6cd5\uff0c\u4f7f\u5f97\u6570\u636e\u9009\u62e9\u548c\u5904\u7406\u66f4\u52a0\u9ad8\u6548\u548c\u76f4\u89c2\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528Pandas\u6765\u9009\u51fa\u6570\u636e\u6846\u4e2d\u7684\u51e0\u5217\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u9009\u51fa\u51e0\u5217<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86DataFrame\u5bf9\u8c61\uff0c\u53ef\u4ee5\u7528\u4e8e\u5b58\u50a8\u548c\u64cd\u4f5c\u8868\u683c\u6570\u636e\u3002\u8981\u4eceDataFrame\u4e2d\u9009\u51fa\u51e0\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u540d\u6765\u7d22\u5f15\u8fd9\u4e9b\u5217\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u521b\u5efaDataFrame<\/strong><\/li>\n<\/ol>\n<p><p>\u8981\u4f7f\u7528Pandas\uff0c\u9996\u5148\u9700\u8981\u521b\u5efa\u4e00\u4e2aDataFrame\u3002\u53ef\u4ee5\u4eceCSV\u6587\u4ef6\u3001Excel\u6587\u4ef6\u6216\u5176\u4ed6\u6570\u636e\u6e90\u5bfc\u5165\u6570\u636e\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u6216\u5217\u8868\u76f4\u63a5\u521b\u5efa\u4e00\u4e2aDataFrame\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>data = {<\/p>\n<p>    &#39;name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;, &#39;Charlie&#39;, &#39;David&#39;],<\/p>\n<p>    &#39;age&#39;: [24, 27, 22, 32],<\/p>\n<p>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;, &#39;Houston&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u9009\u51fa\u51e0\u5217<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528\u5217\u540d\u6765\u7d22\u5f15DataFrame\uff0c\u53ef\u4ee5\u9009\u51fa\u6240\u9700\u7684\u51e0\u5217\u3002\u53ef\u4ee5\u901a\u8fc7\u4e24\u79cd\u65b9\u5f0f\u6765\u5b9e\u73b0\uff1a\u5355\u5217\u9009\u62e9\u548c\u591a\u5217\u9009\u62e9\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5355\u5217\u9009\u62e9<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7<code>df[&#39;column_name&#39;]<\/code>\u6216<code>df.column_name<\/code>\u6765\u9009\u62e9\u5355\u5217\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">age_column = df[&#39;age&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u591a\u5217\u9009\u62e9<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u5217\u540d\u5217\u8868\u6765\u9009\u62e9\u591a\u5217\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns = df[[&#39;name&#39;, &#39;city&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u6ce8\u610f<\/strong>\uff1a\u4f7f\u7528\u53cc\u4e2d\u62ec\u53f7<code>[[]]<\/code>\u6765\u9009\u62e9\u591a\u5217\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u4f7f\u7528iloc\u6216loc\u8fdb\u884c\u9009\u62e9<\/strong><\/li>\n<\/ol>\n<p><p><code>iloc<\/code>\u548c<code>loc<\/code>\u662fPandas\u4e2d\u7528\u4e8e\u6309\u4f4d\u7f6e\u6216\u6807\u7b7e\u8fdb\u884c\u9009\u62e9\u7684\u51fd\u6570\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>loc<\/strong>\uff1a\u6309\u6807\u7b7e\u9009\u62e9\uff0c\u9002\u7528\u4e8e\u884c\u548c\u5217\u90fd\u6709\u6807\u7b7e\u7684\u60c5\u51b5\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns_loc = df.loc[:, [&#39;name&#39;, &#39;city&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>iloc<\/strong>\uff1a\u6309\u4f4d\u7f6e\u9009\u62e9\uff0c\u9002\u7528\u4e8e\u77e5\u9053\u884c\u5217\u7d22\u5f15\u7684\u60c5\u51b5\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">selected_columns_iloc = df.iloc[:, [0, 2]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"4\">\n<li><strong>\u5e94\u7528\u6761\u4ef6\u9009\u62e9<\/strong><\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u6839\u636e\u6761\u4ef6\u7b5b\u9009\u6570\u636e\u6846\u4e2d\u7684\u5217\u3002\u4f8b\u5982\uff0c\u9009\u62e9\u5e74\u9f84\u5927\u4e8e25\u5c81\u7684\u4eba\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">age_greater_than_25 = df[df[&#39;age&#39;] &gt; 25][[&#39;name&#39;, &#39;age&#39;]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528Numpy\u5e93\u9009\u51fa\u51e0\u5217<\/p>\n<\/p>\n<p><p>Numpy\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684Python\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u5927\u578b\u6570\u7ec4\u548c\u77e9\u9635\u3002\u867d\u7136\u5b83\u4e0d\u5982Pandas\u5728\u6570\u636e\u9009\u62e9\u65b9\u9762\u76f4\u89c2\uff0c\u4f46\u5728\u5904\u7406\u6570\u503c\u8ba1\u7b97\u65f6\u975e\u5e38\u9ad8\u6548\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u521b\u5efaNumpy\u6570\u7ec4<\/strong><\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u4f7f\u7528Numpy\u7684\u6570\u7ec4\u529f\u80fd\u6765\u521b\u5efa\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>data = np.array([<\/p>\n<p>    [&#39;Alice&#39;, 24, &#39;New York&#39;],<\/p>\n<p>    [&#39;Bob&#39;, 27, &#39;Los Angeles&#39;],<\/p>\n<p>    [&#39;Charlie&#39;, 22, &#39;Chicago&#39;],<\/p>\n<p>    [&#39;David&#39;, 32, &#39;Houston&#39;]<\/p>\n<p>])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u9009\u62e9\u5217<\/strong><\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u6570\u7ec4\u7d22\u5f15\u6765\u9009\u62e9\u6240\u9700\u7684\u5217\u3002\u4f8b\u5982\uff0c\u9009\u62e9\u7b2c\u4e00\u5217\u548c\u7b2c\u4e09\u5217\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">selected_columns = data[:, [0, 2]]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528\u539f\u751fPython\u9009\u51fa\u51e0\u5217<\/p>\n<\/p>\n<p><p>\u5bf9\u4e8e\u5c0f\u578b\u6570\u636e\u96c6\uff0cPython\u7684\u539f\u751f\u6570\u636e\u7ed3\u6784\uff08\u5982\u5217\u8868\u548c\u5b57\u5178\uff09\u4e5f\u53ef\u4ee5\u7528\u4e8e\u9009\u62e9\u51e0\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u4f7f\u7528\u5217\u8868<\/strong><\/li>\n<\/ol>\n<p><p>\u5047\u8bbe\u6570\u636e\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = [<\/p>\n<p>    [&#39;Alice&#39;, 24, &#39;New York&#39;],<\/p>\n<p>    [&#39;Bob&#39;, 27, &#39;Los Angeles&#39;],<\/p>\n<p>    [&#39;Charlie&#39;, 22, &#39;Chicago&#39;],<\/p>\n<p>    [&#39;David&#39;, 32, &#39;Houston&#39;]<\/p>\n<p>]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5f0f\u6765\u9009\u62e9\u7279\u5b9a\u7684\u5217\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">selected_columns = [[row[0], row[2]] for row in data]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u4f7f\u7528\u5b57\u5178<\/strong><\/li>\n<\/ol>\n<p><p>\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u5b57\u5178\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u952e\u6765\u9009\u62e9\u5217\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;],<\/p>\n<p>    &#39;age&#39;: [24, 27, 22, 32],<\/p>\n<p>    &#39;city&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;, &#39;Houston&#39;]<\/p>\n<p>}<\/p>\n<h2><strong>\u9009\u62e9name\u548ccity\u5217<\/strong><\/h2>\n<p>selected_columns = {key: data[key] for key in [&#39;name&#39;, &#39;city&#39;]}<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u603b\u7ed3<\/strong><\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u9009\u62e9\u51e0\u5217\u6570\u636e\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u5177\u4f53\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u89c4\u6a21\u548c\u590d\u6742\u6027\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0cPandas\u662f\u6700\u4e3a\u63a8\u8350\u7684\u5de5\u5177\uff0c\u5b83\u4e0d\u4ec5\u64cd\u4f5c\u7b80\u4fbf\uff0c\u800c\u4e14\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u5404\u79cd\u6570\u636e\u5206\u6790\u9700\u6c42\u3002\u4f7f\u7528Pandas\u65f6\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u65b9\u4fbf\u5730\u9009\u62e9\u5217\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u5206\u6790\uff0c\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u9009\u62e9\u7279\u5b9a\u7684\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u9009\u62e9\u6570\u636e\u6846\u4e2d\u7684\u7279\u5b9a\u5217\u3002\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u5217\u540d\u7684\u5217\u8868\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6709\u4e00\u4e2a\u540d\u4e3a<code>df<\/code>\u7684\u6570\u636e\u6846\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<code>df[[&#39;column1&#39;, &#39;column2&#39;]]<\/code>\u6765\u9009\u51fa<code>column1<\/code>\u548c<code>column2<\/code>\u8fd9\u4e24\u5217\u3002\u786e\u4fdd\u5728\u9009\u62e9\u5217\u65f6\u4f7f\u7528\u53cc\u91cd\u65b9\u62ec\u53f7\uff0c\u4ee5\u4fbf\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\u3002<\/p>\n<p><strong>\u5728\u9009\u62e9\u5217\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong><br \/>\u5728\u5904\u7406\u6570\u636e\u65f6\uff0c\u7f3a\u5931\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u7ed3\u679c\u3002\u5728\u9009\u62e9\u5217\u4e4b\u524d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df.dropna(subset=[&#39;column1&#39;, &#39;column2&#39;])<\/code>\u6765\u79fb\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u3002\u8fd9\u6837\uff0c\u60a8\u9009\u51fa\u7684\u5217\u5c06\u662f\u5e72\u51c0\u7684\uff0c\u4e0d\u4f1a\u5305\u542b\u4efb\u4f55\u7f3a\u5931\u6570\u636e\u3002<\/p>\n<p><strong>\u80fd\u5426\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u52a8\u6001\u9009\u62e9\u5217\uff1f<\/strong><br \/>\u662f\u7684\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u52a8\u6001\u9009\u62e9\u5217\u3002\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u6216\u6761\u4ef6\u8fc7\u6ee4\uff0c\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<code>df.loc[:, df.columns[df.columns.str.cont<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>ns(&#39;keyword&#39;)]]<\/code>\u6765\u9009\u62e9\u6240\u6709\u5305\u542b\u7279\u5b9a\u5173\u952e\u8bcd\u7684\u5217\u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u5904\u7406\u5217\u540d\u8f83\u591a\u65f6\u7279\u522b\u6709\u7528\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5feb\u901f\u7b5b\u9009\u51fa\u611f\u5174\u8da3\u7684\u5217\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u9009\u51fa\u51e0\u5217\u6570\u636e\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\u3001\u4ee5\u53ca\u539f\u751f\u7684Python\u5217\u8868\u548c\u5b57\u5178 [&hellip;]","protected":false},"author":3,"featured_media":933561,"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\/933549"}],"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=933549"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/933549\/revisions"}],"predecessor-version":[{"id":933562,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/933549\/revisions\/933562"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/933561"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=933549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=933549"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=933549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}