{"id":969063,"date":"2024-12-27T05:12:56","date_gmt":"2024-12-26T21:12:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/969063.html"},"modified":"2024-12-27T05:12:58","modified_gmt":"2024-12-26T21:12:58","slug":"python-%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e6%95%b0%e6%8d%ae%e9%9b%86","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/969063.html","title":{"rendered":"python \u5982\u4f55\u5b9e\u73b0\u6570\u636e\u96c6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24183529\/d36f6b47-352f-4a8d-9e06-f45307d2cfc0.webp\" alt=\"python \u5982\u4f55\u5b9e\u73b0\u6570\u636e\u96c6\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u5b9e\u73b0\u6570\u636e\u96c6\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u521b\u5efa\u6570\u636e\u6846\u3001\u4f7f\u7528NumPy\u521b\u5efa\u6570\u7ec4\u3001\u5229\u7528Python\u5185\u7f6e\u7684\u6570\u636e\u7ed3\u6784\uff08\u5982\u5217\u8868\u3001\u5b57\u5178\uff09\u3001\u4f7f\u7528Scikit-learn\u7684\u6570\u636e\u96c6\u5de5\u5177\u3002<\/strong>\u5176\u4e2d\uff0cPandas\u6570\u636e\u6846\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u529f\u80fd\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u6765\u521b\u5efa\u548c\u7ba1\u7406\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u64cd\u4f5c\u5e93\uff0c\u4e13\u4e3aPython\u8bbe\u8ba1\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u3001\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002Pandas\u4e2d\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u662fDataFrame\uff0c\u5b83\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u683c\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u7684\u589e\u5220\u6539\u67e5\u548c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001PANDAS\u6570\u636e\u6846<\/h3>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3aDataFrame\u7684\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u662f\u4e00\u4e2a\u8868\u683c\u5316\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5177\u6709\u884c\u548c\u5217\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><h4>1.1 \u521b\u5efaDataFrame<\/h4>\n<\/p>\n<p><p>Pandas\u4e2d\u7684DataFrame\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u521b\u5efa\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u4ece\u5b57\u5178\u521b\u5efa<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528\u5b57\u5178\u6765\u521b\u5efaDataFrame\uff0c\u5176\u4e2d\u5b57\u5178\u7684\u952e\u5c06\u6210\u4e3a\u5217\u7684\u6807\u7b7e\uff0c\u800c\u503c\u5219\u662f\u6570\u636e\u3002<\/li>\n<\/ul>\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>        &#39;City&#39;: [&#39;New York&#39;, &#39;Los Angeles&#39;, &#39;Chicago&#39;]}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4ece\u5217\u8868\u521b\u5efa<\/strong>\uff1a\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5217\u8868\u521b\u5efaDataFrame\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>data = [[&#39;Alice&#39;, 25, &#39;New York&#39;], [&#39;Bob&#39;, 30, &#39;Los Angeles&#39;], [&#39;Charlie&#39;, 35, &#39;Chicago&#39;]]<\/p>\n<p>df = pd.DataFrame(data, columns=[&#39;Name&#39;, &#39;Age&#39;, &#39;City&#39;])<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4eceCSV\u6587\u4ef6\u521b\u5efa<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6CSV\u6587\u4ef6\u6765\u521b\u5efaDataFrame\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>1.2 \u64cd\u4f5cDataFrame<\/h4>\n<\/p>\n<p><p>\u4e00\u65e6\u521b\u5efa\u4e86DataFrame\uff0c\u53ef\u4ee5\u8fdb\u884c\u5404\u79cd\u6570\u636e\u64cd\u4f5c\uff0c\u5982\u9009\u62e9\u3001\u8fc7\u6ee4\u3001\u6392\u5e8f\u7b49\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u9009\u62e9\u6570\u636e<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u6807\u7b7e\u6216\u4f4d\u7f6e\u9009\u62e9\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u9009\u62e9\u5355\u5217<\/p>\n<p>print(df[&#39;Name&#39;])<\/p>\n<h2><strong>\u9009\u62e9\u591a\u5217<\/strong><\/h2>\n<p>print(df[[&#39;Name&#39;, &#39;City&#39;]])<\/p>\n<h2><strong>\u6839\u636e\u6761\u4ef6\u9009\u62e9\u6570\u636e<\/strong><\/h2>\n<p>print(df[df[&#39;Age&#39;] &gt; 30])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u6dfb\u52a0\u6216\u5220\u9664\u5217<\/strong>\uff1a\u53ef\u4ee5\u8f7b\u677e\u5730\u6dfb\u52a0\u6216\u5220\u9664\u5217\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u5217<\/p>\n<p>df[&#39;Salary&#39;] = [50000, 60000, 70000]<\/p>\n<h2><strong>\u5220\u9664\u5217<\/strong><\/h2>\n<p>df.drop(&#39;City&#39;, axis=1, inplace=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u6570\u636e\u6392\u5e8f<\/strong>\uff1a\u53ef\u4ee5\u6839\u636e\u67d0\u4e00\u5217\u6216\u591a\u5217\u8fdb\u884c\u6392\u5e8f\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">df.sort_values(by=&#39;Age&#39;, ascending=False, inplace=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001NUMPY\u6570\u7ec4<\/h3>\n<\/p>\n<p><p>NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684N\u7ef4\u6570\u7ec4\u5bf9\u8c61\u3002\u867d\u7136\u5b83\u4e0d\u50cfPandas\u90a3\u6837\u4e13\u6ce8\u4e8e\u6570\u636e\u5206\u6790\uff0c\u4f46\u5b83\u662fPandas\u7684\u5e95\u5c42\u4f9d\u8d56\u5e93\u3002<\/p>\n<\/p>\n<p><h4>2.1 \u521b\u5efa\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>NumPy\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u662fndarray\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u521b\u5efa\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u4ece\u5217\u8868\u521b\u5efa<\/strong>\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>array = np.array([1, 2, 3, 4])<\/p>\n<p>print(array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4f7f\u7528\u51fd\u6570\u521b\u5efa<\/strong>\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5168\u4e3a0\u7684\u6570\u7ec4<\/strong><\/h2>\n<p>zeros_array = np.zeros((3, 3))<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5168\u4e3a1\u7684\u6570\u7ec4<\/strong><\/h2>\n<p>ones_array = np.ones((2, 2))<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u8303\u56f4\u6570\u7ec4<\/strong><\/h2>\n<p>range_array = np.arange(10)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2.2 \u64cd\u4f5c\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>NumPy\u6570\u7ec4\u7684\u64cd\u4f5c\u975e\u5e38\u9ad8\u6548\uff0c\u652f\u6301\u5411\u91cf\u5316\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u6570\u7ec4\u8fd0\u7b97<\/strong>\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4])<\/p>\n<h2><strong>\u52a0\u6cd5<\/strong><\/h2>\n<p>print(array + 1)<\/p>\n<h2><strong>\u4e58\u6cd5<\/strong><\/h2>\n<p>print(array * 2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u6570\u7ec4\u5207\u7247\u548c\u7d22\u5f15<\/strong>\uff1a<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">array = np.array([1, 2, 3, 4])<\/p>\n<h2><strong>\u5207\u7247<\/strong><\/h2>\n<p>print(array[1:3])<\/p>\n<h2><strong>\u5e03\u5c14\u7d22\u5f15<\/strong><\/h2>\n<p>print(array[array &gt; 2])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u5229\u7528PYTHON\u5185\u7f6e\u6570\u636e\u7ed3\u6784<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528Pandas\u548cNumPy\u5916\uff0cPython\u5185\u7f6e\u7684\u6570\u636e\u7ed3\u6784\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<p><h4>3.1 \u4f7f\u7528\u5217\u8868\u548c\u5b57\u5178<\/h4>\n<\/p>\n<ul>\n<li><strong>\u5217\u8868<\/strong>\uff1a\u5217\u8868\u662f\u4e00\u79cd\u53ef\u53d8\u7684\u6709\u5e8f\u96c6\u5408\uff0c\u53ef\u4ee5\u7528\u4e8e\u5b58\u50a8\u4e00\u7ef4\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">data = [1, 2, 3, 4, 5]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u5b57\u5178<\/strong>\uff1a\u5b57\u5178\u662f\u4e00\u79cd\u65e0\u5e8f\u7684\u952e\u503c\u5bf9\u96c6\u5408\uff0c\u53ef\u4ee5\u7528\u4e8e\u5b58\u50a8\u4e8c\u7ef4\u6570\u636e\u3002<\/li>\n<\/ul>\n<p><pre><code class=\"language-python\">data = {&#39;Name&#39;: [&#39;Alice&#39;, &#39;Bob&#39;], &#39;Age&#39;: [25, 30]}<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u867d\u7136Python\u5185\u7f6e\u7684\u6570\u636e\u7ed3\u6784\u5f88\u7075\u6d3b\uff0c\u4f46\u5728\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u65f6\u6548\u7387\u8f83\u4f4e\uff0c\u901a\u5e38\u5efa\u8bae\u4f7f\u7528Pandas\u6216NumPy\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528SCIKIT-LEARN\u7684\u6570\u636e\u96c6\u5de5\u5177<\/h3>\n<\/p>\n<p><p>Scikit-learn\u662f\u4e00\u4e2a<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u96c6\u548c\u751f\u6210\u6570\u636e\u96c6\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><h4>4.1 \u52a0\u8f7d\u5185\u7f6e\u6570\u636e\u96c6<\/h4>\n<\/p>\n<p><p>Scikit-learn\u63d0\u4f9b\u4e86\u8bb8\u591a\u5e38\u7528\u7684\u5185\u7f6e\u6570\u636e\u96c6\uff0c\u5982\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u3001\u6ce2\u58eb\u987f\u623f\u4ef7\u6570\u636e\u96c6\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from sklearn.datasets import load_iris<\/p>\n<p>iris = load_iris()<\/p>\n<p>print(iris.data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>4.2 \u751f\u6210\u6a21\u62df\u6570\u636e\u96c6<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528Scikit-learn\u7684\u5de5\u5177\u51fd\u6570\u751f\u6210\u6a21\u62df\u6570\u636e\u96c6\uff0c\u5982make_classification\u3001make_regression\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from sklearn.datasets import make_classification<\/p>\n<p>X, y = make_classification(n_samples=100, n_features=20, n_classes=2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\u5b9e\u73b0\u6570\u636e\u96c6\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u3002<strong>Pandas\u5e93\u7684DataFrame\u662f\u6700\u5e38\u7528\u548c\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u9002\u5408\u4e8e\u5927\u591a\u6570\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u4efb\u52a1<\/strong>\u3002NumPy\u5219\u5728\u9700\u8981\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u65f6\u975e\u5e38\u6709\u7528\uff0c\u800cPython\u5185\u7f6e\u7684\u6570\u636e\u7ed3\u6784\u9002\u5408\u4e8e\u7b80\u5355\u7684\u6570\u636e\u64cd\u4f5c\u3002Scikit-learn\u63d0\u4f9b\u7684\u5de5\u5177\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u4e2d\u7684\u6570\u636e\u51c6\u5907\u548c\u751f\u6210\u975e\u5e38\u4fbf\u5229\u3002\u901a\u8fc7\u4e86\u89e3\u548c\u638c\u63e1\u8fd9\u4e9b\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u9ad8\u6548\u5730\u5b9e\u73b0\u548c\u64cd\u4f5c\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u96c6\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u521b\u5efa\u6570\u636e\u96c6\u7684\u5e38\u7528\u65b9\u6cd5\u662f\u5229\u7528Pandas\u5e93\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5Pandas\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install pandas<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u521b\u5efa\u6570\u636e\u96c6\u901a\u5e38\u6d89\u53ca\u5230\u5b9a\u4e49\u6570\u636e\u7ed3\u6784\uff0c\u4f8b\u5982\u4f7f\u7528\u5b57\u5178\u6216\u5217\u8868\uff0c\u7136\u540e\u5229\u7528<code>pd.DataFrame()<\/code>\u51fd\u6570\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u636e\u6846\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\ndata = {\n    &#39;\u59d3\u540d&#39;: [&#39;\u5f20\u4e09&#39;, &#39;\u674e\u56db&#39;, &#39;\u738b\u4e94&#39;],\n    &#39;\u5e74\u9f84&#39;: [25, 30, 28],\n    &#39;\u57ce\u5e02&#39;: [&#39;\u5317\u4eac&#39;, &#39;\u4e0a\u6d77&#39;, &#39;\u5e7f\u5dde&#39;]\n}\ndf = pd.DataFrame(data)\nprint(df)\n<\/code><\/pre>\n<p>\u6b64\u4ee3\u7801\u7247\u6bb5\u5c06\u751f\u6210\u4e00\u4e2a\u5305\u542b\u4e09\u5217\u7684\u7b80\u5355\u6570\u636e\u96c6\u3002<\/p>\n<p><strong>\u5982\u4f55\u4eceCSV\u6587\u4ef6\u52a0\u8f7d\u6570\u636e\u96c6\uff1f<\/strong><br \/>\u4f7f\u7528Pandas\u5e93\u7684<code>read_csv()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u5730\u4eceCSV\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6570\u636e\u96c6\u3002\u60a8\u53ea\u9700\u63d0\u4f9b\u6587\u4ef6\u7684\u8def\u5f84\uff0cPandas\u5c06\u81ea\u52a8\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u636e\u6846\u683c\u5f0f\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\ndf = pd.read_csv(&#39;path\/to\/your\/file.csv&#39;)\nprint(df.head())\n<\/code><\/pre>\n<p>\u6b64\u64cd\u4f5c\u5c06\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u663e\u793a\u524d\u4e94\u884c\u6570\u636e\uff0c\u4fbf\u4e8e\u60a8\u5feb\u901f\u4e86\u89e3\u6570\u636e\u96c6\u7684\u7ed3\u6784\u548c\u5185\u5bb9\u3002<\/p>\n<p><strong>\u5982\u4f55\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u57fa\u672c\u7684\u6570\u636e\u5206\u6790\uff1f<\/strong><br \/>\u5728\u52a0\u8f7d\u6570\u636e\u96c6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684\u591a\u79cd\u529f\u80fd\u8fdb\u884c\u57fa\u672c\u7684\u6570\u636e\u5206\u6790\u3002\u901a\u8fc7<code>describe()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u83b7\u53d6\u6570\u636e\u96c6\u7684\u7edf\u8ba1\u6458\u8981\uff0c\u5305\u62ec\u5747\u503c\u3001\u6807\u51c6\u5dee\u3001\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u7b49\u4fe1\u606f\u3002\u6b64\u5916\uff0c<code>groupby()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u6839\u636e\u67d0\u4e9b\u7279\u5f81\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u5206\u6790\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">summary = df.describe()\ngrouped_data = df.groupby(&#39;\u57ce\u5e02&#39;).mean()\nprint(summary)\nprint(grouped_data)\n<\/code><\/pre>\n<p>\u8fd9\u4e9b\u64cd\u4f5c\u5c06\u5e2e\u52a9\u60a8\u5feb\u901f\u5206\u6790\u6570\u636e\u96c6\u7684\u7279\u5f81\u548c\u8d8b\u52bf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5b9e\u73b0\u6570\u636e\u96c6\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u521b\u5efa\u6570\u636e\u6846\u3001\u4f7f\u7528NumPy\u521b\u5efa\u6570\u7ec4\u3001\u5229\u7528Python\u5185 [&hellip;]","protected":false},"author":3,"featured_media":969070,"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\/969063"}],"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=969063"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/969063\/revisions"}],"predecessor-version":[{"id":969071,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/969063\/revisions\/969071"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/969070"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=969063"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=969063"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=969063"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}