{"id":1135670,"date":"2025-01-08T21:27:49","date_gmt":"2025-01-08T13:27:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1135670.html"},"modified":"2025-01-08T21:27:51","modified_gmt":"2025-01-08T13:27:51","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e4%b8%80%e5%88%97%e6%95%b0%e6%8d%ae%e5%bc%95%e5%85%a5%e6%95%b0%e7%bb%84%e4%b8%ad-python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1135670.html","title":{"rendered":"\u5982\u4f55\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u4e2d python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25104245\/c1bcc9ef-9764-43f6-a1a8-6d932e5d55de.webp\" alt=\"\u5982\u4f55\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u4e2d python\" \/><\/p>\n<p><p> <strong>\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u4e2d Python \u7684\u65b9\u6cd5<\/strong><\/p>\n<\/p>\n<p><p>\u5728 Python \u4e2d\uff0c\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u5b9e\u73b0\uff0c\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec<strong>\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528 numpy \u6570\u7ec4\u3001\u4f7f\u7528 pandas \u6570\u636e\u6846<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\uff0c\u5e76\u5177\u4f53\u8bf4\u660e\u5176\u5b9e\u73b0\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528\u5217\u8868<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528\u5217\u8868\u662f Python \u4e2d\u6700\u57fa\u7840\u4e5f\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u5217\u8868\u80fd\u591f\u5bb9\u7eb3\u4efb\u4f55\u7c7b\u578b\u7684\u6570\u636e\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u64cd\u4f5c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>1. \u521b\u5efa\u548c\u521d\u59cb\u5316\u5217\u8868<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u5b9a\u4e49\u5217\u8868\u7684\u65b9\u5f0f\u6765\u5f15\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u76f4\u63a5\u5b9a\u4e49\u5217\u8868<\/p>\n<p>data_list = [1, 2, 3, 4, 5]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u9002\u7528\u4e8e\u6570\u636e\u91cf\u8f83\u5c0f\u7684\u60c5\u51b5\u3002\u5f53\u6570\u636e\u91cf\u8f83\u5927\u65f6\uff0c\u53ef\u4ee5\u4ece\u6587\u4ef6\u6216\u5176\u4ed6\u6570\u636e\u6e90\u8bfb\u53d6\u6570\u636e\u5e76\u6dfb\u52a0\u5230\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>2. \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u5f15\u5165\u5217\u8868<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2a\u540d\u4e3a <code>data.txt<\/code> \u7684\u6587\u4ef6\uff0c\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e00\u884c\u5305\u542b\u4e00\u4e2a\u6570\u5b57\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06\u8fd9\u4e9b\u6570\u636e\u5f15\u5165\u5230\u5217\u8868\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e<\/p>\n<p>data_list = []<\/p>\n<p>with open(&#39;data.txt&#39;, &#39;r&#39;) as file:<\/p>\n<p>    for line in file:<\/p>\n<p>        data_list.append(int(line.strip()))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u9002\u7528\u4e8e\u6570\u636e\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d\u7684\u60c5\u51b5\uff0c\u80fd\u591f\u8f7b\u677e\u5730\u5c06\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8bfb\u53d6\u5230\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528 numpy \u6570\u7ec4<\/h3>\n<\/p>\n<p><p>Numpy \u662f Python \u4e2d\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u5bf9\u8c61\u548c\u8bb8\u591a\u6709\u7528\u7684\u51fd\u6570\u3002\u4f7f\u7528 numpy \u6570\u7ec4\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h4>1. \u5bfc\u5165 numpy \u5e93\u5e76\u521b\u5efa\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5\u548c\u5bfc\u5165 numpy \u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u521b\u5efa numpy \u6570\u7ec4\uff0c\u4f8b\u5982\u76f4\u63a5\u5b9a\u4e49\u3001\u4ece\u5217\u8868\u8f6c\u6362\u3001\u4ece\u6587\u4ef6\u8bfb\u53d6\u7b49\u3002<\/p>\n<\/p>\n<p><h4>2. \u4ece\u5217\u8868\u8f6c\u6362\u4e3a numpy \u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u5df2\u7ecf\u6709\u4e00\u4e2a\u5217\u8868 <code>data_list<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06\u5176\u8f6c\u6362\u4e3a numpy \u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u5217\u8868\u8f6c\u6362\u4e3a numpy \u6570\u7ec4<\/p>\n<p>data_array = np.array(data_list)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u7b80\u5355\uff0c\u9002\u7528\u4e8e\u5df2\u6709\u6570\u636e\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><h4>3. \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u5f15\u5165 numpy \u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528 numpy \u63d0\u4f9b\u7684 <code>loadtxt<\/code> \u51fd\u6570\u76f4\u63a5\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u521b\u5efa\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u5f15\u5165 numpy \u6570\u7ec4<\/p>\n<p>data_array = np.loadtxt(&#39;data.txt&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u65b9\u4fbf\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528 pandas \u6570\u636e\u6846<\/h3>\n<\/p>\n<p><p>Pandas \u662f Python \u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u6570\u636e\u6846\u5bf9\u8c61\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h4>1. \u5bfc\u5165 pandas \u5e93\u5e76\u521b\u5efa\u6570\u636e\u6846<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5\u548c\u5bfc\u5165 pandas \u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u521b\u5efa\u6570\u636e\u6846\uff0c\u4f8b\u5982\u76f4\u63a5\u5b9a\u4e49\u3001\u4ece\u6587\u4ef6\u8bfb\u53d6\u7b49\u3002<\/p>\n<\/p>\n<p><h4>2. \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u521b\u5efa\u6570\u636e\u6846<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2a\u540d\u4e3a <code>data.csv<\/code> \u7684 CSV \u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06\u5176\u8bfb\u53d6\u4e3a\u6570\u636e\u6846\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u521b\u5efa\u6570\u636e\u6846<\/p>\n<p>data_frame = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u9002\u7528\u4e8e\u6570\u636e\u5b58\u50a8\u5728 CSV \u6587\u4ef6\u4e2d\u7684\u60c5\u51b5\uff0c\u80fd\u591f\u8f7b\u677e\u5730\u5c06\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8bfb\u53d6\u5230\u6570\u636e\u6846\u4e2d\u3002<\/p>\n<\/p>\n<p><h4>3. \u5c06\u6570\u636e\u6846\u4e2d\u7684\u4e00\u5217\u8f6c\u6362\u4e3a\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6570\u636e\u6846 <code>data_frame<\/code> \u4e2d\u6709\u4e00\u5217\u540d\u4e3a <code>column_name<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06\u5176\u8f6c\u6362\u4e3a numpy \u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06\u6570\u636e\u6846\u4e2d\u7684\u4e00\u5217\u8f6c\u6362\u4e3a numpy \u6570\u7ec4<\/p>\n<p>data_array = data_frame[&#39;column_name&#39;].values<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5b58\u50a8\u5728\u6570\u636e\u6846\u4e2d\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h3>\u8be6\u7ec6\u63cf\u8ff0\uff1a\u4f7f\u7528 numpy \u6570\u7ec4\u7684\u4f18\u52bf<\/h3>\n<\/p>\n<p><p><strong>Numpy \u6570\u7ec4<\/strong>\u76f8\u6bd4\u4e8e\u5217\u8868\u6709\u8bb8\u591a\u4f18\u52bf\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u8868\u73b0\u5c24\u4e3a\u7a81\u51fa\u3002\u9996\u5148\uff0cnumpy \u6570\u7ec4\u5728\u5b58\u50a8\u548c\u64cd\u4f5c\u4e0a\u66f4\u52a0\u9ad8\u6548\uff0c\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u901f\u5ea6\u3002\u5176\u6b21\uff0cnumpy \u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u5404\u79cd\u6570\u5b66\u548c\u7edf\u8ba1\u8fd0\u7b97\uff0c\u4f8b\u5982\u77e9\u9635\u8fd0\u7b97\u3001\u7ebf\u6027\u4ee3\u6570\u3001\u5085\u91cc\u53f6\u53d8\u6362\u7b49\u3002\u6b64\u5916\uff0cnumpy \u6570\u7ec4\u652f\u6301\u591a\u7ef4\u6570\u636e\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u591a\u7ef4\u6570\u636e\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff0c\u5047\u8bbe\u6709\u4e00\u4e2a\u5927\u89c4\u6a21\u6570\u636e\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u9ad8\u6548\u5730\u8bfb\u53d6\u5e76\u5904\u7406\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u5f15\u5165 numpy \u6570\u7ec4<\/strong><\/h2>\n<p>data_array = np.loadtxt(&#39;large_data.txt&#39;)<\/p>\n<h2><strong>\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790<\/strong><\/h2>\n<p>mean_value = np.mean(data_array)<\/p>\n<p>std_value = np.std(data_array)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528 numpy \u6570\u7ec4\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u8868\u73b0\u5c24\u4e3a\u7a81\u51fa\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u6570\u636e\u5904\u7406\u548c\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u65e0\u8bba\u662f\u4f7f\u7528\u5217\u8868\u3001numpy \u6570\u7ec4\u8fd8\u662f pandas \u6570\u636e\u6846\uff0c\u5f15\u5165\u6570\u636e\u53ea\u662f\u7b2c\u4e00\u6b65\uff0c\u63a5\u4e0b\u6765\u901a\u5e38\u9700\u8981\u8fdb\u884c\u5404\u79cd\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u64cd\u4f5c\u3002\u4e0b\u9762\u5c06\u4ecb\u7ecd\u51e0\u79cd\u5e38\u89c1\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>1. \u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n<p><p>\u6570\u636e\u6e05\u6d17\u662f\u6570\u636e\u5904\u7406\u7684\u7b2c\u4e00\u6b65\uff0c\u901a\u5e38\u5305\u62ec\u7f3a\u5931\u503c\u5904\u7406\u3001\u91cd\u590d\u503c\u5904\u7406\u3001\u5f02\u5e38\u503c\u68c0\u6d4b\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 pandas \u6570\u636e\u6846\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\n<p>data_frame = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<h2><strong>\u7f3a\u5931\u503c\u5904\u7406<\/strong><\/h2>\n<p>data_frame = data_frame.dropna()<\/p>\n<h2><strong>\u91cd\u590d\u503c\u5904\u7406<\/strong><\/h2>\n<p>data_frame = data_frame.drop_duplicates()<\/p>\n<h2><strong>\u5f02\u5e38\u503c\u68c0\u6d4b<\/strong><\/h2>\n<p>data_frame = data_frame[(data_frame[&#39;value&#39;] &gt;= lower_bound) &amp; (data_frame[&#39;value&#39;] &lt;= upper_bound)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u6e05\u6d17\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>2. \u6570\u636e\u8f6c\u6362<\/h4>\n<\/p>\n<p><p>\u6570\u636e\u8f6c\u6362\u662f\u6570\u636e\u5904\u7406\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u901a\u5e38\u5305\u62ec\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3001\u6570\u636e\u683c\u5f0f\u8f6c\u6362\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 numpy \u6570\u7ec4\u8fdb\u884c\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u5f15\u5165 numpy \u6570\u7ec4<\/strong><\/h2>\n<p>data_array = np.loadtxt(&#39;data.txt&#39;)<\/p>\n<h2><strong>\u6570\u636e\u7c7b\u578b\u8f6c\u6362<\/strong><\/h2>\n<p>data_array = data_array.astype(np.float32)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u7b80\u5355\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>3. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n<p><p>\u6570\u636e\u5206\u6790\u662f\u6570\u636e\u5904\u7406\u7684\u6700\u7ec8\u76ee\u7684\uff0c\u901a\u5e38\u5305\u62ec\u7edf\u8ba1\u5206\u6790\u3001\u6570\u636e\u53ef\u89c6\u5316\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 pandas \u6570\u636e\u6846\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5e76\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\n<p>data_frame = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<h2><strong>\u7edf\u8ba1\u5206\u6790<\/strong><\/h2>\n<p>mean_value = data_frame[&#39;value&#39;].mean()<\/p>\n<p>std_value = data_frame[&#39;value&#39;].std()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u65b9\u4fbf\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u7edf\u8ba1\u5206\u6790\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u5728 Python \u4e2d\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\uff0c\u4e3b\u8981\u5305\u62ec<strong>\u4f7f\u7528\u5217\u8868\u3001\u4f7f\u7528 numpy \u6570\u7ec4\u3001\u4f7f\u7528 pandas \u6570\u636e\u6846<\/strong>\u3002\u4e0d\u540c\u7684\u65b9\u6cd5\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u60c5\u51b5\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u7684\u6570\u636e\u6765\u6e90\u548c\u5904\u7406\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u5408\u7406\u5730\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u6ee1\u8db3\u5404\u79cd\u6570\u636e\u5904\u7406\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5efa\u8bae\u4f18\u5148\u9009\u62e9 numpy \u6570\u7ec4\u548c pandas \u6570\u636e\u6846\uff0c\u56e0\u4e3a\u5b83\u4eec\u63d0\u4f9b\u4e86\u66f4\u52a0\u4e30\u5bcc\u7684\u51fd\u6570\u5e93\u548c\u66f4\u9ad8\u7684\u5904\u7406\u6548\u7387\uff0c\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u901f\u5ea6\u548c\u4fbf\u6377\u6027\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u5e76\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7075\u6d3b\u8fd0\u7528\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5c06\u4e00\u5217\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u5c06\u4e00\u5217\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.array()<\/code>\u51fd\u6570\u5c06\u5217\u8868\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\u8f6c\u6362\u4e3a\u6570\u7ec4\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u5217\u8868<code>data = [1, 2, 3, 4, 5]<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7<code>import numpy as np<\/code>\u548c<code>array = np.array(data)<\/code>\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u65b9\u6cd5\u6765\u5f15\u5165\u6570\u636e\u5230\u6570\u7ec4\u4e2d\uff1f<\/strong><br \/>\u9664\u4e86NumPy\u5916\uff0cPython\u7684\u6807\u51c6\u5e93\u4e5f\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5f15\u5165\u6570\u636e\u5230\u6570\u7ec4\u4e2d\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>list()<\/code>\u51fd\u6570\u6216\u901a\u8fc7\u5217\u8868\u89e3\u6790\u6765\u521b\u5efa\u6570\u7ec4\u3002\u6b64\u5916\uff0c\u4f7f\u7528Pandas\u5e93\u4e5f\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6CSV\u6587\u4ef6\u6216\u5176\u4ed6\u6570\u636e\u6e90\uff0c\u5e76\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\u683c\u5f0f\u3002\u4f7f\u7528<code>pandas.read_csv()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\u5f15\u5165\u4e3a\u6570\u7ec4\u3002<\/p>\n<p><strong>\u5982\u679c\u6570\u636e\u4e2d\u5305\u542b\u7f3a\u5931\u503c\uff0c\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u503c\u4ee5\u5f15\u5165\u6570\u7ec4\uff1f<\/strong><br \/>\u5f53\u6570\u636e\u4e2d\u5305\u542b\u7f3a\u5931\u503c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u6216Pandas\u63d0\u4f9b\u7684\u529f\u80fd\u8fdb\u884c\u5904\u7406\u3002\u5728NumPy\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.nan<\/code>\u6765\u8868\u793a\u7f3a\u5931\u503c\uff0c\u4f7f\u7528<code>numpy.nan_to_num()<\/code>\u51fd\u6570\u6765\u5c06\u5176\u66ff\u6362\u4e3a\u6307\u5b9a\u7684\u6570\u503c\u3002\u5728Pandas\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>fillna()<\/code>\u65b9\u6cd5\u6765\u586b\u5145\u7f3a\u5931\u503c\u6216\u4f7f\u7528<code>dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u5f15\u5165\u7684\u6570\u636e\u5b8c\u6574\u4e14\u6709\u6548\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u4e2d Python \u7684\u65b9\u6cd5 \u5728 Python \u4e2d\uff0c\u5c06\u4e00\u5217\u6570\u636e\u5f15\u5165\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u5b9e\u73b0\uff0c\u4e3b [&hellip;]","protected":false},"author":3,"featured_media":1135680,"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\/1135670"}],"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=1135670"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135670\/revisions"}],"predecessor-version":[{"id":1135682,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135670\/revisions\/1135682"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1135680"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1135670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1135670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1135670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}