{"id":1147316,"date":"2025-01-13T16:23:26","date_gmt":"2025-01-13T08:23:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1147316.html"},"modified":"2025-01-13T16:23:30","modified_gmt":"2025-01-13T08:23:30","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e5%88%97%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1147316.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6\u5217\u6570\u636e"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25165448\/323a6a73-5ea1-47b1-84af-a49fd6b8abb2.webp\" alt=\"python\u5982\u4f55\u8bfb\u53d6\u5217\u6570\u636e\" \/><\/p>\n<p><p> Python\u8bfb\u53d6\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c<strong>\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001numpy\u5e93\u3001openpyxl\u5e93<\/strong>\u3002\u5176\u4e2d\uff0c<strong>pandas\u5e93\u56e0\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u7b80\u4fbf\u7684\u8bed\u6cd5\uff0c\u6210\u4e3a\u6570\u636e\u5206\u6790\u4e2d\u6700\u5e38\u7528\u7684\u5de5\u5177<\/strong>\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u8bfb\u53d6\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001PANDAS\u8bfb\u53d6\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Pandas\u5e93\u63d0\u4f9b\u4e86\u7b80\u4fbf\u7684\u65b9\u6cd5\u6765\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u8bfb\u53d6\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5\u548c\u5bfc\u5165Pandas\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165pandas\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><h4>\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2aCSV\u6587\u4ef6 <code>data.csv<\/code>\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-csv\">Name, Age, City<\/p>\n<p>Alice, 25, New York<\/p>\n<p>Bob, 30, Los Angeles<\/p>\n<p>Charlie, 35, Chicago<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6307\u5b9a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<p>df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<h2><strong>\u8bfb\u53d6\u5355\u5217\u6570\u636e<\/strong><\/h2>\n<p>age_column = df[&#39;Age&#39;]<\/p>\n<p>print(age_column)<\/p>\n<h2><strong>\u8bfb\u53d6\u591a\u5217\u6570\u636e<\/strong><\/h2>\n<p>name_age_columns = df[[&#39;Name&#39;, &#39;Age&#39;]]<\/p>\n<p>print(name_age_columns)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2aExcel\u6587\u4ef6 <code>data.xlsx<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6307\u5b9a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<p>df = pd.read_excel(&#39;data.xlsx&#39;)<\/p>\n<h2><strong>\u8bfb\u53d6\u5355\u5217\u6570\u636e<\/strong><\/h2>\n<p>age_column = df[&#39;Age&#39;]<\/p>\n<p>print(age_column)<\/p>\n<h2><strong>\u8bfb\u53d6\u591a\u5217\u6570\u636e<\/strong><\/h2>\n<p>name_age_columns = df[[&#39;Name&#39;, &#39;Age&#39;]]<\/p>\n<p>print(name_age_columns)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001CSV\u5e93\u8bfb\u53d6\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Python\u7684\u5185\u7f6ecsv\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e\uff0c\u9002\u5408\u5904\u7406\u8f83\u5c0f\u7684\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528csv\u5e93\u8bfb\u53d6\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2aCSV\u6587\u4ef6 <code>data.csv<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6307\u5b9a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import csv<\/p>\n<h2><strong>\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n<p>with open(&#39;data.csv&#39;, newline=&#39;&#39;) as csvfile:<\/p>\n<p>    reader = csv.DictReader(csvfile)<\/p>\n<p>    # \u8bfb\u53d6\u5355\u5217\u6570\u636e<\/p>\n<p>    age_column = [row[&#39;Age&#39;] for row in reader]<\/p>\n<p>    print(age_column)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6\u591a\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u591a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import csv<\/p>\n<h2><strong>\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n<p>with open(&#39;data.csv&#39;, newline=&#39;&#39;) as csvfile:<\/p>\n<p>    reader = csv.DictReader(csvfile)<\/p>\n<p>    # \u8bfb\u53d6\u591a\u5217\u6570\u636e<\/p>\n<p>    name_age_columns = [{ &#39;Name&#39;: row[&#39;Name&#39;], &#39;Age&#39;: row[&#39;Age&#39;] } for row in reader]<\/p>\n<p>    print(name_age_columns)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001NUMPY\u5e93\u8bfb\u53d6\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Numpy\u5e93\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e\uff0c\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528numpy\u5e93\u8bfb\u53d6\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5\u548c\u5bfc\u5165Numpy\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5numpy\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165numpy\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><h4>\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2aCSV\u6587\u4ef6 <code>data.csv<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6307\u5b9a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<p>data = np.genfromtxt(&#39;data.csv&#39;, delimiter=&#39;,&#39;, dtype=None, names=True, encoding=None)<\/p>\n<h2><strong>\u8bfb\u53d6\u5355\u5217\u6570\u636e<\/strong><\/h2>\n<p>age_column = data[&#39;Age&#39;]<\/p>\n<p>print(age_column)<\/p>\n<h2><strong>\u8bfb\u53d6\u591a\u5217\u6570\u636e<\/strong><\/h2>\n<p>name_age_columns = data[[&#39;Name&#39;, &#39;Age&#39;]]<\/p>\n<p>print(name_age_columns)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001OPENPYXL\u5e93\u8bfb\u53d6\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>Openpyxl\u5e93\u4e13\u95e8\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\uff0c\u9002\u5408\u9700\u8981\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u573a\u666f\u3002\u4ee5\u4e0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5\u548c\u5bfc\u5165Openpyxl\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5openpyxl\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165openpyxl\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u5217\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u6709\u4e00\u4e2aExcel\u6587\u4ef6 <code>data.xlsx<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6307\u5b9a\u5217\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<p>wb = load_workbook(&#39;data.xlsx&#39;)<\/p>\n<p>ws = wb.active<\/p>\n<h2><strong>\u8bfb\u53d6\u5355\u5217\u6570\u636e<\/strong><\/h2>\n<p>age_column = [cell.value for cell in ws[&#39;B&#39;]]<\/p>\n<p>print(age_column)<\/p>\n<h2><strong>\u8bfb\u53d6\u591a\u5217\u6570\u636e<\/strong><\/h2>\n<p>name_age_columns = [[cell.value for cell in row] for row in ws.iter_rows(min_row=2, max_row=ws.max_row, min_col=1, max_col=2)]<\/p>\n<p>print(name_age_columns)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u8bfb\u53d6\u5217\u6570\u636e\uff0c<strong>\u5305\u62ecpandas\u5e93\u3001csv\u5e93\u3001numpy\u5e93\u3001openpyxl\u5e93<\/strong>\u3002<strong>\u5176\u4e2d\uff0cpandas\u5e93\u56e0\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u7b80\u4fbf\u7684\u8bed\u6cd5\uff0c\u6210\u4e3a\u6570\u636e\u5206\u6790\u4e2d\u6700\u5e38\u7528\u7684\u5de5\u5177<\/strong>\u3002csv\u5e93\u9002\u5408\u5904\u7406\u8f83\u5c0f\u7684\u6570\u636e\u96c6\uff0c\u800cnumpy\u5e93\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e\u548c\u5927\u578b\u6570\u636e\u96c6\u3002openpyxl\u5e93\u5219\u4e13\u95e8\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><p>\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u5173\u952e\u5728\u4e8e\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff0c\u5e76\u719f\u7ec3\u638c\u63e1\u5176\u4f7f\u7528\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u603b\u7ed3\u8868\u683c\uff1a<\/p>\n<\/p>\n<table>\n<thead>\n<tr>\n<p><th>\u65b9\u6cd5<\/th>\n<\/p>\n<p><th>\u4f18\u70b9<\/th>\n<\/p>\n<p><th>\u9002\u7528\u573a\u666f<\/th>\n<\/p>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<p><td>Pandas<\/td>\n<\/p>\n<p><td>\u529f\u80fd\u5f3a\u5927\u3001\u8bed\u6cd5\u7b80\u6d01\u3001\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f<\/td>\n<\/p>\n<p><td>\u6570\u636e\u5206\u6790\u3001\u5904\u7406\u5927\u578b\u6570\u636e\u96c6<\/td>\n<\/p>\n<\/tr>\n<tr>\n<p><td>CSV<\/td>\n<\/p>\n<p><td>\u5185\u7f6e\u5e93\u3001\u6613\u4e8e\u4f7f\u7528<\/td>\n<\/p>\n<p><td>\u5904\u7406\u8f83\u5c0f\u7684\u6570\u636e\u96c6<\/td>\n<\/p>\n<\/tr>\n<tr>\n<p><td>Numpy<\/td>\n<\/p>\n<p><td>\u9ad8\u6548\u5904\u7406\u6570\u503c\u578b\u6570\u636e\u3001\u652f\u6301\u5927\u578b\u6570\u636e\u96c6<\/td>\n<\/p>\n<p><td>\u6570\u503c\u8ba1\u7b97\u3001\u5904\u7406\u5927\u578b\u6570\u636e\u96c6<\/td>\n<\/p>\n<\/tr>\n<tr>\n<p><td>Openpyxl<\/td>\n<\/p>\n<p><td>\u4e13\u95e8\u5904\u7406Excel\u6587\u4ef6\u3001\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6<\/td>\n<\/p>\n<p><td>\u9700\u8981\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u573a\u666f<\/td>\n<\/p>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u5185\u5bb9\u7684\u4ecb\u7ecd\uff0c\u5e0c\u671b\u80fd\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1Python\u8bfb\u53d6\u5217\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u5e76\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u7279\u5b9a\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u7279\u5b9a\u5217\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86<code>pandas<\/code>\u5e93\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>pd.read_csv()<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7\u5217\u540d\u6216\u5217\u7d22\u5f15\u63d0\u53d6\u6240\u9700\u7684\u6570\u636e\u3002\u4f8b\u5982\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\ndata = pd.read_csv(&#39;your_file.csv&#39;)\nspecific_column = data[&#39;column_name&#39;]  # \u6309\u5217\u540d\u8bfb\u53d6\n# \u6216\u8005\nspecific_column = data.iloc[:, column_index]  # \u6309\u5217\u7d22\u5f15\u8bfb\u53d6\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u5c06\u6240\u9700\u5217\u7684\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u8fdb\u884c\u540e\u7eed\u5206\u6790\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Excel\u6587\u4ef6\u4e2d\u8bfb\u53d6\u67d0\u4e00\u5217\u6570\u636e\uff1f<\/strong><br \/>\u82e5\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5217\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u7684<code>read_excel()<\/code>\u51fd\u6570\u3002\u5b89\u88c5<code>openpyxl<\/code>\u6216<code>xlrd<\/code>\u5e93\u53ef\u4ee5\u786e\u4fdd\u652f\u6301\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\ndata = pd.read_excel(&#39;your_file.xlsx&#39;)\nspecific_column = data[&#39;column_name&#39;]  # \u6309\u5217\u540d\u8bfb\u53d6\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u5f0f\u9002\u7528\u4e8e\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684Excel\u6587\u4ef6\uff0c\u5e76\u4e14\u80fd\u591f\u8f7b\u677e\u63d0\u53d6\u6240\u9700\u7684\u5217\u3002<\/p>\n<p><strong>\u5982\u4f55\u4f7f\u7528Python\u7684\u6807\u51c6\u5e93\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\u6570\u636e\uff1f<\/strong><br \/>\u5982\u679c\u4e0d\u60f3\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\uff0cPython\u7684\u6807\u51c6\u5e93\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\u3002\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6\u6587\u4ef6\u7684\u6bcf\u4e00\u884c\uff0c\u5c06\u5176\u62c6\u5206\u6210\u5217\u8868\uff0c\u518d\u63d0\u53d6\u6240\u9700\u7684\u5217\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n<pre><code class=\"language-python\">with open(&#39;your_file.txt&#39;, &#39;r&#39;) as file:\n    for line in file:\n        columns = line.split()  # \u9ed8\u8ba4\u6309\u7a7a\u683c\u5206\u5272\n        specific_column_value = columns[column_index]  # \u63d0\u53d6\u7279\u5b9a\u5217\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u4e8e\u683c\u5f0f\u7b80\u5355\u7684\u6587\u672c\u6587\u4ef6\uff0c\u7075\u6d3b\u6027\u8f83\u9ad8\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001numpy\u5e93\u3001openpyxl [&hellip;]","protected":false},"author":3,"featured_media":1147328,"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\/1147316"}],"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=1147316"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1147316\/revisions"}],"predecessor-version":[{"id":1147329,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1147316\/revisions\/1147329"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1147328"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1147316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1147316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1147316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}