{"id":1031242,"date":"2024-12-31T11:23:59","date_gmt":"2024-12-31T03:23:59","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1031242.html"},"modified":"2024-12-31T11:24:01","modified_gmt":"2024-12-31T03:24:01","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba%e4%b8%80%e5%88%97%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1031242.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8868\u793a\u4e00\u5217\u6570\u636e"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/37291aea-f81c-471c-8308-b107176af9e7.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u4e2d\u5982\u4f55\u8868\u793a\u4e00\u5217\u6570\u636e\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u8868\u793a\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u3001\u5143\u7ec4\u3001Pandas\u5e93\u4e2d\u7684Series\u5bf9\u8c61\u7b49\u3002<\/strong> \u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528\u5217\u8868\u548cPandas\u5e93\u4e2d\u7684Series\u5bf9\u8c61\u3002<strong>\u5217\u8868<\/strong>\u9002\u7528\u4e8e\u8f83\u7b80\u5355\u7684\u6570\u636e\u64cd\u4f5c\uff0c\u800c<strong>Pandas\u5e93\u4e2d\u7684Series\u5bf9\u8c61<\/strong>\u5219\u9002\u7528\u4e8e\u66f4\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u8868\u793a\u4e00\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528\u5217\u8868\u8868\u793a\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5217\u8868\u662f\u4e00\u79cd\u6700\u57fa\u672c\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5728Python\u4e2d\u975e\u5e38\u5e38\u7528\u3002\u5b83\u53ef\u4ee5\u5b58\u50a8\u4efb\u610f\u7c7b\u578b\u7684\u6570\u636e\uff0c\u5e76\u4e14\u652f\u6301\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>\u521b\u5efa\u548c\u64cd\u4f5c\u5217\u8868<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u65b9\u62ec\u53f7 <code>[]<\/code> \u521b\u5efa\u4e00\u4e2a\u5217\u8868\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_list = [10, 20, 30, 40, 50]<\/p>\n<p>print(data_list)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u5217\u8868\u5305\u542b\u4e86\u4e94\u4e2a\u6574\u6570\u3002\u6211\u4eec\u4e5f\u53ef\u4ee5\u5728\u5217\u8868\u4e2d\u5b58\u50a8\u5176\u4ed6\u7c7b\u578b\u7684\u6570\u636e\uff0c\u6bd4\u5982\u5b57\u7b26\u4e32\u3001\u6d6e\u70b9\u6570\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_list = [&quot;apple&quot;, &quot;banana&quot;, &quot;cherry&quot;, &quot;date&quot;, &quot;elderberry&quot;]<\/p>\n<p>print(data_list)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bbf\u95ee\u5217\u8868\u5143\u7d20<\/h4>\n<\/p>\n<p><p>\u5217\u8868\u4e2d\u7684\u5143\u7d20\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\uff0c\u7d22\u5f15\u4ece0\u5f00\u59cb\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">first_element = data_list[0]<\/p>\n<p>print(first_element)  # \u8f93\u51fa &quot;apple&quot;<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u6211\u4eec\u4e5f\u53ef\u4ee5\u4f7f\u7528\u8d1f\u7d22\u5f15\u6765\u4ece\u5217\u8868\u7684\u672b\u5c3e\u5f00\u59cb\u8bbf\u95ee\u5143\u7d20\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">last_element = data_list[-1]<\/p>\n<p>print(last_element)  # \u8f93\u51fa &quot;elderberry&quot;<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u5217\u8868\u7684\u5e38\u7528\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u5217\u8868\u652f\u6301\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u6dfb\u52a0\u3001\u5220\u9664\u3001\u4fee\u6539\u5143\u7d20\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u5143\u7d20<\/p>\n<p>data_list.append(&quot;fig&quot;)<\/p>\n<p>print(data_list)<\/p>\n<h2><strong>\u5220\u9664\u5143\u7d20<\/strong><\/h2>\n<p>data_list.remove(&quot;banana&quot;)<\/p>\n<p>print(data_list)<\/p>\n<h2><strong>\u4fee\u6539\u5143\u7d20<\/strong><\/h2>\n<p>data_list[1] = &quot;blueberry&quot;<\/p>\n<p>print(data_list)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528\u5b57\u5178\u8868\u793a\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5b57\u5178\u662f\u4e00\u79cd\u952e\u503c\u5bf9\u7684\u6570\u636e\u7ed3\u6784\uff0c\u9002\u7528\u4e8e\u9700\u8981\u901a\u8fc7\u552f\u4e00\u7684\u952e\u6765\u8bbf\u95ee\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><h4>\u521b\u5efa\u548c\u64cd\u4f5c\u5b57\u5178<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5927\u62ec\u53f7 <code>{}<\/code> \u6765\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_dict = {&quot;a&quot;: 10, &quot;b&quot;: 20, &quot;c&quot;: 30, &quot;d&quot;: 40, &quot;e&quot;: 50}<\/p>\n<p>print(data_dict)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bbf\u95ee\u5b57\u5178\u5143\u7d20<\/h4>\n<\/p>\n<p><p>\u5b57\u5178\u4e2d\u7684\u5143\u7d20\u53ef\u4ee5\u901a\u8fc7\u952e\u6765\u8bbf\u95ee\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">value = data_dict[&quot;b&quot;]<\/p>\n<p>print(value)  # \u8f93\u51fa 20<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u5b57\u5178\u7684\u5e38\u7528\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u5b57\u5178\u652f\u6301\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u6dfb\u52a0\u3001\u5220\u9664\u3001\u4fee\u6539\u5143\u7d20\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u5143\u7d20<\/p>\n<p>data_dict[&quot;f&quot;] = 60<\/p>\n<p>print(data_dict)<\/p>\n<h2><strong>\u5220\u9664\u5143\u7d20<\/strong><\/h2>\n<p>del data_dict[&quot;a&quot;]<\/p>\n<p>print(data_dict)<\/p>\n<h2><strong>\u4fee\u6539\u5143\u7d20<\/strong><\/h2>\n<p>data_dict[&quot;b&quot;] = 25<\/p>\n<p>print(data_dict)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528\u5143\u7ec4\u8868\u793a\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5143\u7ec4\u4e0e\u5217\u8868\u7c7b\u4f3c\uff0c\u4f46\u5b83\u662f\u4e0d\u53ef\u53d8\u7684\uff0c\u8fd9\u610f\u5473\u7740\u4e00\u65e6\u521b\u5efa\u5c31\u4e0d\u80fd\u4fee\u6539\u3002<\/p>\n<\/p>\n<p><h4>\u521b\u5efa\u548c\u64cd\u4f5c\u5143\u7ec4<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5c0f\u62ec\u53f7 <code>()<\/code> \u6765\u521b\u5efa\u4e00\u4e2a\u5143\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_tuple = (10, 20, 30, 40, 50)<\/p>\n<p>print(data_tuple)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bbf\u95ee\u5143\u7ec4\u5143\u7d20<\/h4>\n<\/p>\n<p><p>\u5143\u7ec4\u4e2d\u7684\u5143\u7d20\u4e5f\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">first_element = data_tuple[0]<\/p>\n<p>print(first_element)  # \u8f93\u51fa 10<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528Pandas\u5e93\u7684Series\u5bf9\u8c61\u8868\u793a\u4e00\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3002Series\u662fPandas\u4e2d\u7684\u4e00\u79cd\u6570\u636e\u7ed3\u6784\uff0c\u7528\u4e8e\u8868\u793a\u4e00\u7ef4\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u521b\u5efa\u548c\u64cd\u4f5cSeries<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165Pandas\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">!pip install pandas<\/p>\n<p>import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 <code>pd.Series<\/code> \u521b\u5efa\u4e00\u4e2aSeries\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_series = pd.Series([10, 20, 30, 40, 50])<\/p>\n<p>print(data_series)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bbf\u95eeSeries\u5143\u7d20<\/h4>\n<\/p>\n<p><p>Series\u4e2d\u7684\u5143\u7d20\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">first_element = data_series[0]<\/p>\n<p>print(first_element)  # \u8f93\u51fa 10<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>Series\u7684\u5e38\u7528\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>Series\u652f\u6301\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u57fa\u672c\u7684\u7edf\u8ba1\u5206\u6790\u3001\u6570\u636e\u8fc7\u6ee4\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8ba1\u7b97\u5747\u503c<\/p>\n<p>mean_value = data_series.mean()<\/p>\n<p>print(mean_value)<\/p>\n<h2><strong>\u8fc7\u6ee4\u6570\u636e<\/strong><\/h2>\n<p>filtered_series = data_series[data_series &gt; 20]<\/p>\n<p>print(filtered_series)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\u8868\u793a\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u6570\u636e\u7684\u590d\u6742\u7a0b\u5ea6\u3002<strong>\u5217\u8868<\/strong>\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u636e\u64cd\u4f5c\uff0c<strong>\u5b57\u5178<\/strong>\u9002\u7528\u4e8e\u9700\u8981\u901a\u8fc7\u952e\u6765\u8bbf\u95ee\u6570\u636e\u7684\u573a\u666f\uff0c<strong>\u5143\u7ec4<\/strong>\u9002\u7528\u4e8e\u4e0d\u53ef\u53d8\u7684\u6570\u636e\uff0c\u800c<strong>Pandas\u5e93\u4e2d\u7684Series\u5bf9\u8c61<\/strong>\u5219\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u901a\u8fc7\u7ed3\u5408\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5728Python\u4e2d\uff0c\u5982\u4f55\u4f7f\u7528\u5217\u8868\u8868\u793a\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5217\u8868\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u7528\u6765\u8868\u793a\u4e00\u5217\u6570\u636e\u3002\u53ef\u4ee5\u901a\u8fc7\u65b9\u62ec\u53f7<code>[]<\/code>\u6765\u521b\u5efa\u4e00\u4e2a\u5217\u8868\uff0c\u4f8b\u5982\uff1a<code>data = [1, 2, 3, 4, 5]<\/code>\u3002\u5217\u8868\u53ef\u4ee5\u5305\u542b\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff0c\u5305\u62ec\u6570\u5b57\u3001\u5b57\u7b26\u4e32\u548c\u5e03\u5c14\u503c\u3002<\/p>\n<p><strong>Python\u4e2d\u8fd8\u6709\u54ea\u4e9b\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u8868\u793a\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>\u9664\u4e86\u5217\u8868\uff0cPython\u8fd8\u63d0\u4f9b\u5176\u4ed6\u51e0\u79cd\u6570\u636e\u7ed3\u6784\u6765\u8868\u793a\u4e00\u5217\u6570\u636e\u3002\u4f8b\u5982\uff0c\u5143\u7ec4\uff08\u4f7f\u7528\u5706\u62ec\u53f7<code>()<\/code>\uff09\u3001\u96c6\u5408\uff08\u4f7f\u7528\u82b1\u62ec\u53f7<code>{}<\/code>\uff09\u548c\u5b57\u5178\uff08\u4f7f\u7528\u952e\u503c\u5bf9\uff09\u3002\u5982\u679c\u9700\u8981\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u4e2d\u7684\u6570\u7ec4\uff08<code>numpy.array<\/code>\uff09\uff0c\u5b83\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u6027\u80fd\u66f4\u4f73\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Pandas\u4e2d\u8868\u793a\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>Pandas\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528<code>Series<\/code>\u5bf9\u8c61\u6765\u8868\u793a\u4e00\u5217\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u521b\u5efa\u4e00\u4e2aPandas Series\uff1a<code>import pandas as pd; data = pd.Series([1, 2, 3, 4, 5])<\/code>\u3002\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u53ef\u4ee5\u5b58\u50a8\u6570\u636e\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u3002<\/p>\n<p><strong>\u5982\u4f55\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>\u82e5\u8981\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u4e00\u5217\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u7684<code>read_csv<\/code>\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<code>data = pd.read_csv(&#39;file.csv&#39;)<\/code>\uff0c\u7136\u540e\u53ef\u4ee5\u901a\u8fc7<code>data[&#39;\u5217\u540d&#39;]<\/code>\u6765\u8bbf\u95ee\u7279\u5b9a\u7684\u5217\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u5927\u91cf\u6570\u636e\u5e76\u8fdb\u884c\u5206\u6790\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8868\u793a\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u5217\u8868\u3001\u5b57\u5178\u3001\u5143\u7ec4\u3001Pandas\u5e93\u4e2d\u7684Series\u5bf9\u8c61\u7b49\u3002 \u5176 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