{"id":1041021,"date":"2024-12-31T12:45:52","date_gmt":"2024-12-31T04:45:52","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1041021.html"},"modified":"2024-12-31T12:45:54","modified_gmt":"2024-12-31T04:45:54","slug":"python%e5%a6%82%e4%bd%95%e8%87%aa%e5%8a%a8%e5%8c%96%e5%a4%84%e7%90%86%e8%a1%a8%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1041021.html","title":{"rendered":"python\u5982\u4f55\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/9a7956ef-938f-451a-b681-8c5a85c99a1d.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c\" \/><\/p>\n<p><p> <strong>Python\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlrd\u548cxlwt\u5e93\u3001\u7ed3\u5408\u5176\u4ed6\u5de5\u5177\uff08\u5982PyAutoGUI\uff09\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528pandas\u5e93\u662f\u6700\u5e38\u89c1\u4e5f\u662f\u6700\u5f3a\u5927\u7684\u65b9\u6cd5\uff0c\u5b83\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u529f\u80fd\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001PANDAS\u5e93<\/h3>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u7279\u522b\u9002\u5408\u7528\u4e8e\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u5b83\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u6570\u636e\u6846\uff08DataFrame\uff09\u7ed3\u6784\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u7684\u8bfb\u53d6\u3001\u4fee\u6539\u548c\u5199\u5165\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528pandas\u5e93\u8bfb\u53d6Excel\u8868\u683c\u6570\u636e\u975e\u5e38\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528<code>read_excel<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff08\u5982.xlsx\u548c.xls\uff09\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;example.xlsx&#39;)<\/p>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u6570\u636e\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u7b5b\u9009\u3001\u8fc7\u6ee4\u3001\u5206\u7ec4\u3001\u805a\u5408\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u7b5b\u9009\u51fa\u7279\u5b9a\u5217<\/p>\n<p>df_filtered = df[[&#39;Column1&#39;, &#39;Column2&#39;]]<\/p>\n<h2><strong>\u6839\u636e\u6761\u4ef6\u8fc7\u6ee4\u6570\u636e<\/strong><\/h2>\n<p>df_filtered = df[df[&#39;Column1&#39;] &gt; 10]<\/p>\n<h2><strong>\u6570\u636e\u5206\u7ec4\u548c\u805a\u5408<\/strong><\/h2>\n<p>grouped = df.groupby(&#39;Category&#39;).sum()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5199\u5165\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5904\u7406\u5b8c\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>to_excel<\/code>\u51fd\u6570\u5c06\u6570\u636e\u5199\u56deExcel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5199\u5165Excel\u6587\u4ef6<\/p>\n<p>df.to_excel(&#39;output.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001OPENPYXL\u5e93<\/h3>\n<\/p>\n<p><p>Openpyxl\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301\u8bfb\u5199.xlsx\u6587\u4ef6\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u7ec6\u7c92\u5ea6\u7684\u63a7\u5236\uff0c\u53ef\u4ee5\u64cd\u4f5c\u5355\u5143\u683c\u6837\u5f0f\u3001\u5408\u5e76\u5355\u5143\u683c\u7b49\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528openpyxl\u5e93\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>wb = load_workbook(&#39;example.xlsx&#39;)<\/p>\n<p>sheet = wb.active<\/p>\n<h2><strong>\u83b7\u53d6\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n<p>data = sheet[&#39;A1&#39;].value<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u6570\u636e\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u5bf9\u8868\u683c\u4e2d\u7684\u5355\u5143\u683c\u8fdb\u884c\u591a\u79cd\u64cd\u4f5c\uff0c\u5982\u4fee\u6539\u5355\u5143\u683c\u503c\u3001\u5408\u5e76\u5355\u5143\u683c\u3001\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fee\u6539\u5355\u5143\u683c\u503c<\/p>\n<p>sheet[&#39;A1&#39;] = &#39;New Value&#39;<\/p>\n<h2><strong>\u5408\u5e76\u5355\u5143\u683c<\/strong><\/h2>\n<p>sheet.merge_cells(&#39;A1:B2&#39;)<\/p>\n<h2><strong>\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n<p>from openpyxl.styles import Font<\/p>\n<p>font = Font(bold=True)<\/p>\n<p>sheet[&#39;A1&#39;].font = font<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5199\u5165\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5904\u7406\u5b8c\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58Excel\u6587\u4ef6<\/p>\n<p>wb.save(&#39;output.xlsx&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001XLWT\u548cXLRD\u5e93<\/h3>\n<\/p>\n<p><p>Xlwt\u548cxlrd\u5e93\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u4e3b\u8981\u9002\u7528\u4e8e.xls\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u5c3d\u7ba1\u5b83\u4eec\u529f\u80fd\u76f8\u5bf9\u8f83\u5f31\uff0c\u4f46\u5728\u5904\u7406\u65e7\u683c\u5f0fExcel\u6587\u4ef6\u65f6\u4ecd\u7136\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528xlrd\u5e93\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xlrd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = xlrd.open_workbook(&#39;example.xls&#39;)<\/p>\n<p>sheet = workbook.sheet_by_index(0)<\/p>\n<h2><strong>\u83b7\u53d6\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n<p>data = sheet.cell_value(0, 0)<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5199\u5165\u8868\u683c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528xlwt\u5e93\u53ef\u4ee5\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xlwt<\/p>\n<h2><strong>\u521b\u5efaExcel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = xlwt.Workbook()<\/p>\n<p>sheet = workbook.add_sheet(&#39;Sheet1&#39;)<\/p>\n<h2><strong>\u5199\u5165\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n<p>sheet.write(0, 0, &#39;New Value&#39;)<\/p>\n<h2><strong>\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook.save(&#39;output.xls&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u7ed3\u5408\u5176\u4ed6\u5de5\u5177\uff08\u5982PyAutoGUI\uff09<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u5176\u4ed6\u81ea\u52a8\u5316\u5de5\u5177\uff08\u5982PyAutoGUI\uff09\u6765\u5b9e\u73b0\u66f4\u52a0\u590d\u6742\u7684\u81ea\u52a8\u5316\u4efb\u52a1\u3002PyAutoGUI\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684GUI\u81ea\u52a8\u5316\u5e93\uff0c\u53ef\u4ee5\u6a21\u62df\u9f20\u6807\u548c\u952e\u76d8\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5PyAutoGUI<\/h4>\n<\/p>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5PyAutoGUI\u5e93\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-sh\">pip install pyautogui<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u6a21\u62df\u9f20\u6807\u548c\u952e\u76d8\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528PyAutoGUI\u53ef\u4ee5\u6a21\u62df\u9f20\u6807\u70b9\u51fb\u548c\u952e\u76d8\u8f93\u5165\u64cd\u4f5c\uff0c\u9002\u7528\u4e8e\u9700\u8981\u64cd\u4f5cExcel\u754c\u9762\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyautogui<\/p>\n<h2><strong>\u6a21\u62df\u9f20\u6807\u70b9\u51fb<\/strong><\/h2>\n<p>pyautogui.click(x=100, y=200)<\/p>\n<h2><strong>\u6a21\u62df\u952e\u76d8\u8f93\u5165<\/strong><\/h2>\n<p>pyautogui.write(&#39;Hello, world!&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u7efc\u5408\u5b9e\u4f8b<\/h3>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7efc\u5408\u5b9e\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528pandas\u5e93\u548copenpyxl\u5e93\u6765\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>from openpyxl import load_workbook<\/p>\n<p>from openpyxl.styles import Font<\/p>\n<h2><strong>\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;example.xlsx&#39;)<\/p>\n<h2><strong>\u6570\u636e\u64cd\u4f5c\uff1a\u7b5b\u9009\u548c\u8ba1\u7b97<\/strong><\/h2>\n<p>df_filtered = df[df[&#39;Column1&#39;] &gt; 10]<\/p>\n<p>df_filtered[&#39;Sum&#39;] = df_filtered[&#39;Column2&#39;] + df_filtered[&#39;Column3&#39;]<\/p>\n<h2><strong>\u4f7f\u7528openpyxl\u5199\u5165Excel\u6587\u4ef6<\/strong><\/h2>\n<p>wb = load_workbook(&#39;example.xlsx&#39;)<\/p>\n<p>sheet = wb.active<\/p>\n<h2><strong>\u5199\u5165\u65b0\u7684\u6570\u636e<\/strong><\/h2>\n<p>for i, row in df_filtered.iterrows():<\/p>\n<p>    sheet.cell(row=i+2, column=5, value=row[&#39;Sum&#39;])<\/p>\n<h2><strong>\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n<p>font = Font(bold=True)<\/p>\n<p>sheet[&#39;E1&#39;].font = font<\/p>\n<h2><strong>\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n<p>wb.save(&#39;output.xlsx&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u5b9e\u73b0\u5bf9\u8868\u683c\u6570\u636e\u7684\u81ea\u52a8\u5316\u5904\u7406\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5e93\u5904\u7406Excel\u8868\u683c\uff1f<\/strong><br \/>Python\u63d0\u4f9b\u4e86\u591a\u4e2a\u5e93\u6765\u5904\u7406Excel\u8868\u683c\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662f<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u3002\u4f7f\u7528<code>pandas<\/code>\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u3001\u5199\u5165\u548c\u64cd\u4f5c\u8868\u683c\u6570\u636e\u3002\u4f8b\u5982\uff0c\u901a\u8fc7<code>pandas.read_excel()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u800c\u4f7f\u7528<code>DataFrame.to_excel()<\/code>\u53ef\u4ee5\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6\u3002\u6b64\u5916\uff0c<code>openpyxl<\/code>\u5e93\u5219\u5141\u8bb8\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u66f4\u4f4e\u7ea7\u522b\u7684\u64cd\u4f5c\uff0c\u5305\u62ec\u683c\u5f0f\u8bbe\u7f6e\u548c\u56fe\u8868\u751f\u6210\u7b49\u3002<\/p>\n<p><strong>Python\u80fd\u5904\u7406\u54ea\u4e9b\u7c7b\u578b\u7684\u8868\u683c\u6587\u4ef6\uff1f<\/strong><br \/>Python\u80fd\u591f\u5904\u7406\u591a\u79cd\u7c7b\u578b\u7684\u8868\u683c\u6587\u4ef6\uff0c\u5305\u62ecExcel\uff08.xlsx\u3001.xls\uff09\u3001CSV\uff08.csv\uff09\u3001\u751a\u81f3Google Sheets\u7b49\u3002\u901a\u8fc7<code>pandas<\/code>\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u5199\u5165\u8fd9\u4e9b\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002\u5bf9\u4e8eCSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pd.read_csv()<\/code>\u548c<code>DataFrame.to_csv()<\/code>\u65b9\u6cd5\u8fdb\u884c\u64cd\u4f5c\uff0c\u800cGoogle Sheets\u53ef\u4ee5\u901a\u8fc7API\u4e0ePython\u7ed3\u5408\u5b9e\u73b0\u6570\u636e\u7684\u8bfb\u53d6\u4e0e\u5199\u5165\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u8868\u683c\u6570\u636e\u7684\u81ea\u52a8\u5316\u5206\u6790\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u5229\u7528<code>pandas<\/code>\u5e93\u8fdb\u884c\u6570\u636e\u7684\u81ea\u52a8\u5316\u5206\u6790\u3002\u53ef\u4ee5\u901a\u8fc7\u6570\u636e\u6e05\u6d17\u3001\u8fc7\u6ee4\u548c\u805a\u5408\u7b49\u64cd\u4f5c\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4ece\u800c\u63d0\u53d6\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002\u7ed3\u5408<code>matplotlib<\/code>\u6216<code>seaborn<\/code>\u7b49\u53ef\u89c6\u5316\u5e93\uff0c\u53ef\u4ee5\u5c06\u5206\u6790\u7ed3\u679c\u4ee5\u56fe\u8868\u7684\u5f62\u5f0f\u5c55\u793a\uff0c\u63d0\u9ad8\u6570\u636e\u7684\u53ef\u8bfb\u6027\u548c\u7406\u89e3\u5ea6\u3002\u6b64\u5916\uff0c\u4f7f\u7528<code>Jupyter Notebook<\/code>\u53ef\u4ee5\u521b\u5efa\u4ea4\u4e92\u5f0f\u62a5\u544a\uff0c\u4fbf\u4e8e\u5c55\u793a\u5206\u6790\u8fc7\u7a0b\u548c\u7ed3\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u81ea\u52a8\u5316\u5904\u7406\u8868\u683c\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3001\u4f7f\u7528xlrd\u548cxlwt\u5e93\u3001 [&hellip;]","protected":false},"author":3,"featured_media":1041031,"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\/1041021"}],"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=1041021"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1041021\/revisions"}],"predecessor-version":[{"id":1041038,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1041021\/revisions\/1041038"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1041031"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1041021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1041021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1041021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}