{"id":1124992,"date":"2025-01-08T19:47:03","date_gmt":"2025-01-08T11:47:03","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1124992.html"},"modified":"2025-01-08T19:47:05","modified_gmt":"2025-01-08T11:47:05","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e5%9b%be%e7%89%87%e4%bf%9d%e5%ad%98csv%e6%96%87%e4%bb%b6%e6%a0%bc%e5%bc%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1124992.html","title":{"rendered":"python\u5982\u4f55\u5c06\u56fe\u7247\u4fdd\u5b58csv\u6587\u4ef6\u683c\u5f0f"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085829\/4967f482-b6fd-4589-b9df-99a087e32124.webp\" alt=\"python\u5982\u4f55\u5c06\u56fe\u7247\u4fdd\u5b58csv\u6587\u4ef6\u683c\u5f0f\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u5c06\u56fe\u7247\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u683c\u5f0f\u7684\u6838\u5fc3\u6b65\u9aa4\u5305\u62ec\uff1a\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e\u3001\u5c06\u50cf\u7d20\u6570\u636e\u5b58\u50a8\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3001\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u4f7f\u7528OpenCV\u6216PIL\u5e93\u8bfb\u53d6\u56fe\u7247\uff0c\u5c06\u5176\u8f6c\u6362\u4e3anumpy\u6570\u7ec4\uff1b\u7136\u540e\uff0c\u4f7f\u7528numpy\u6216pandas\u5c06\u6570\u7ec4\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\u5e76\u4fdd\u5b58\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u5c55\u5f00\u5982\u4f55\u5177\u4f53\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u8bfb\u53d6\u56fe\u7247\u5e76\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e<\/h2>\n<\/p>\n<p><p>Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u56fe\u7247\uff0c\u4f8b\u5982OpenCV\u548cPIL\uff08Pillow\uff09\u3002\u5728\u8fd9\u4e00\u90e8\u5206\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e24\u4e2a\u5e93\u8bfb\u53d6\u56fe\u7247\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path_to_your_image.jpg&#39;)<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u5c3a\u5bf8<\/strong><\/h2>\n<p>print(image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u4f7f\u7528PIL\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>PIL\uff08Pillow\uff09\u662fPython Imaging Library\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;path_to_your_image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u7247\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u5c3a\u5bf8<\/strong><\/h2>\n<p>print(image_array.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u5c06\u50cf\u7d20\u6570\u636e\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u6570\u7ec4<\/h2>\n<\/p>\n<p><p>\u4e00\u5f20\u56fe\u7247\u7684\u50cf\u7d20\u6570\u636e\u901a\u5e38\u662f\u4e00\u4e2a\u4e09\u7ef4\u6570\u7ec4\uff0c\u5305\u542b\u9ad8\u5ea6\u3001\u5bbd\u5ea6\u548c\u989c\u8272\u901a\u9053\uff08RGB\uff09\u3002\u5728\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u5c06\u4e09\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3002\u5e38\u89c1\u7684\u5904\u7406\u65b9\u5f0f\u662f\u5c06\u6bcf\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u503c\u5c55\u5e73\u6210\u4e00\u4e2a\u884c\u5411\u91cf\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f7f\u7528numpy\u5c06\u4e09\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u6570\u7ec4<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u5047\u8bbeimage_array\u662f\u4ece\u56fe\u7247\u8bfb\u53d6\u7684\u4e09\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>height, width, channels = image_array.shape<\/p>\n<h2><strong>\u5c06\u4e09\u7ef4\u6570\u7ec4\u5c55\u5e73\u4e3a\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>flattened_array = image_array.reshape((height * width, channels))<\/p>\n<h2><strong>\u6253\u5370\u8f6c\u6362\u540e\u7684\u6570\u7ec4\u5c3a\u5bf8<\/strong><\/h2>\n<p>print(flattened_array.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u5c06\u4e8c\u7ef4\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6<\/h2>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528numpy\u7684savetxt\u51fd\u6570\u6216\u8005pandas\u7684DataFrame\u6765\u5c06\u6570\u7ec4\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f7f\u7528numpy\u7684savetxt\u51fd\u6570<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">np.savetxt(&#39;image_data.csv&#39;, flattened_array, delimiter=&#39;,&#39;, fmt=&#39;%d&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u4f7f\u7528pandas\u7684DataFrame<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efaDataFrame<\/strong><\/h2>\n<p>df = pd.DataFrame(flattened_array, columns=[&#39;R&#39;, &#39;G&#39;, &#39;B&#39;])<\/p>\n<h2><strong>\u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n<p>df.to_csv(&#39;image_data.csv&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u91cd\u5efa\u56fe\u7247<\/h2>\n<\/p>\n<p><p>\u4e3a\u4e86\u9a8c\u8bc1\u6570\u636e\u7684\u6b63\u786e\u6027\uff0c\u53ef\u4ee5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u91cd\u5efa\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f7f\u7528numpy\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u91cd\u5efa\u56fe\u7247<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>data = np.loadtxt(&#39;image_data.csv&#39;, delimiter=&#39;,&#39;)<\/p>\n<h2><strong>\u5c06\u4e8c\u7ef4\u6570\u7ec4\u91cd\u5851\u4e3a\u4e09\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>reconstructed_image = data.reshape((height, width, channels))<\/p>\n<h2><strong>\u6253\u5370\u91cd\u5efa\u540e\u7684\u56fe\u7247\u5c3a\u5bf8<\/strong><\/h2>\n<p>print(reconstructed_image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u4f7f\u7528pandas\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u91cd\u5efa\u56fe\u7247<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_csv(&#39;image_data.csv&#39;)<\/p>\n<h2><strong>\u5c06DataFrame\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/strong><\/h2>\n<p>data = df.values<\/p>\n<h2><strong>\u5c06\u4e8c\u7ef4\u6570\u7ec4\u91cd\u5851\u4e3a\u4e09\u7ef4\u6570\u7ec4<\/strong><\/h2>\n<p>reconstructed_image = data.reshape((height, width, channels))<\/p>\n<h2><strong>\u6253\u5370\u91cd\u5efa\u540e\u7684\u56fe\u7247\u5c3a\u5bf8<\/strong><\/h2>\n<p>print(reconstructed_image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e94\u3001\u4fdd\u5b58\u91cd\u5efa\u7684\u56fe\u7247<\/h2>\n<\/p>\n<p><p>\u91cd\u5efa\u540e\u7684\u56fe\u7247\u53ef\u4ee5\u4f7f\u7528OpenCV\u6216PIL\u5e93\u518d\u6b21\u4fdd\u5b58\u4e3a\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u4f7f\u7528OpenCV\u4fdd\u5b58\u56fe\u7247<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u7247<\/strong><\/h2>\n<p>cv2.imwrite(&#39;reconstructed_image.jpg&#39;, reconstructed_image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u4f7f\u7528PIL\u4fdd\u5b58\u56fe\u7247<\/h3>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u5c06numpy\u6570\u7ec4\u8f6c\u6362\u4e3aPIL\u56fe\u7247<\/strong><\/h2>\n<p>reconstructed_image_pil = Image.fromarray(reconstructed_image.astype(&#39;uint8&#39;))<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u7247<\/strong><\/h2>\n<p>reconstructed_image_pil.save(&#39;reconstructed_image.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u516d\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u5c06\u56fe\u7247\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u683c\u5f0f\u7684\u8fc7\u7a0b\u6d89\u53ca\u591a\u4e2a\u6b65\u9aa4\uff1a\u8bfb\u53d6\u56fe\u7247\u3001\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e\u3001\u5c06\u50cf\u7d20\u6570\u636e\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3001\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3001\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u91cd\u5efa\u56fe\u7247\u3001\u4fdd\u5b58\u91cd\u5efa\u7684\u56fe\u7247\u3002\u6bcf\u4e00\u4e2a\u6b65\u9aa4\u90fd\u6709\u591a\u79cd\u5b9e\u73b0\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>OpenCV\u548cPIL\u90fd\u662f\u8bfb\u53d6\u56fe\u7247\u7684\u5e38\u7528\u5e93\uff0c\u9009\u62e9\u5176\u4e2d\u4e00\u4e2a\u5373\u53ef\u3002<\/p>\n<\/p>\n<p><h3>2\u3001\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5c06\u56fe\u7247\u8f6c\u6362\u4e3anumpy\u6570\u7ec4\u662f\u540e\u7eed\u5904\u7406\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u5c06\u50cf\u7d20\u6570\u636e\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u6570\u7ec4<\/h3>\n<\/p>\n<p><p>\u5c06\u4e09\u7ef4\u6570\u7ec4\u5c55\u5e73\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u662f\u4e3a\u4e86\u65b9\u4fbf\u5b58\u50a8\u548c\u8bfb\u53d6\u3002<\/p>\n<\/p>\n<p><h3>4\u3001\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>numpy\u7684savetxt\u51fd\u6570\u548cpandas\u7684DataFrame\u90fd\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>5\u3001\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u91cd\u5efa\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u91cd\u5efa\u56fe\u7247\uff0c\u53ef\u4ee5\u9a8c\u8bc1\u6570\u636e\u7684\u6b63\u786e\u6027\u3002<\/p>\n<\/p>\n<p><h3>6\u3001\u4fdd\u5b58\u91cd\u5efa\u7684\u56fe\u7247<\/h3>\n<\/p>\n<p><p>OpenCV\u548cPIL\u90fd\u53ef\u4ee5\u65b9\u4fbf\u5730\u4fdd\u5b58\u56fe\u7247\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u5c06\u56fe\u7247\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u683c\u5f0f\uff0c\u5e76\u80fd\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u91cd\u5efa\u56fe\u7247\u3002\u8fd9\u4e00\u8fc7\u7a0b\u4e0d\u4ec5\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u5b58\u50a8\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aCSV\u6587\u4ef6\u683c\u5f0f\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\u5e93\u8bfb\u53d6\u56fe\u7247\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u50cf\u7d20\u503c\uff0c\u968f\u540e\u5c06\u8fd9\u4e9b\u503c\u5199\u5165CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86PIL\uff08Pillow\uff09\u548cpandas\u5e93\u3002\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u83b7\u53d6\u6bcf\u4e2a\u50cf\u7d20\u7684RGB\u503c\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u4e3aCSV\u683c\u5f0f\u3002<\/p>\n<p><strong>\u4fdd\u5b58\u7684CSV\u6587\u4ef6\u4e2d\u5305\u542b\u54ea\u4e9b\u4fe1\u606f\uff1f<\/strong><br \/>\u4fdd\u5b58\u7684CSV\u6587\u4ef6\u901a\u5e38\u5305\u542b\u6bcf\u4e2a\u50cf\u7d20\u7684RGB\u503c\u53ca\u5176\u5bf9\u5e94\u7684\u5750\u6807\u3002\u8fd9\u610f\u5473\u7740\u6bcf\u4e00\u884c\u53ef\u80fd\u4ee3\u8868\u56fe\u50cf\u4e2d\u7684\u4e00\u4e2a\u50cf\u7d20\uff0c\u5217\u5219\u5206\u522b\u8868\u793a\u50cf\u7d20\u7684X\u5750\u6807\u3001Y\u5750\u6807\u548cRGB\u503c\u3002\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u56fe\u50cf\u5904\u7406\u3002<\/p>\n<p><strong>\u5982\u4f55\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u56fe\u7247\u6570\u636e\uff1f<\/strong><br \/>\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u56fe\u7247\u6570\u636e\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3002\u901a\u8fc7\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u5c06\u50cf\u7d20\u503c\u6062\u590d\u4e3a\u56fe\u50cf\u683c\u5f0f\u3002\u60a8\u9700\u8981\u5c06RGB\u503c\u91cd\u65b0\u7ec4\u5408\u6210\u56fe\u50cf\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528PIL\u5e93\u5c06\u5176\u8f6c\u6362\u4e3a\u56fe\u50cf\u3002\u8fd9\u6837\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9CSV\u6587\u4ef6\u4e2d\u7684\u56fe\u50cf\u6570\u636e\u8fdb\u884c\u53ef\u89c6\u5316\u548c\u5904\u7406\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u4fdd\u5b58\u56fe\u7247\u4e3aCSV\u6587\u4ef6\u7684\u6ce8\u610f\u4e8b\u9879\u6709\u54ea\u4e9b\uff1f<\/strong><br \/>\u5728\u4fdd\u5b58\u56fe\u7247\u4e3aCSV\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u8003\u8651\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u989c\u8272\u6df1\u5ea6\u3002\u5927\u56fe\u50cf\u53ef\u80fd\u4f1a\u751f\u6210\u975e\u5e38\u5927\u7684CSV\u6587\u4ef6\uff0c\u5f71\u54cd\u5b58\u50a8\u548c\u5904\u7406\u6548\u7387\u3002\u6b64\u5916\uff0c\u9009\u62e9\u5408\u9002\u7684\u6587\u4ef6\u683c\u5f0f\u548c\u538b\u7f29\u65b9\u6cd5\u4e5f\u5f88\u91cd\u8981\uff0c\u4ee5\u4fbf\u5728\u9700\u8981\u65f6\u80fd\u591f\u5feb\u901f\u8bbf\u95ee\u548c\u52a0\u8f7d\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5c06\u56fe\u7247\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u683c\u5f0f\u7684\u6838\u5fc3\u6b65\u9aa4\u5305\u62ec\uff1a\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u50cf\u7d20\u6570\u636e\u3001\u5c06\u50cf\u7d20\u6570\u636e\u5b58\u50a8\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3001\u5c06\u6570 [&hellip;]","protected":false},"author":3,"featured_media":1124998,"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\/1124992"}],"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=1124992"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1124992\/revisions"}],"predecessor-version":[{"id":1125002,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1124992\/revisions\/1125002"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1124998"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1124992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1124992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1124992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}