{"id":1104490,"date":"2025-01-08T16:21:11","date_gmt":"2025-01-08T08:21:11","guid":{"rendered":""},"modified":"2025-01-08T16:21:15","modified_gmt":"2025-01-08T08:21:15","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%af%94%e8%be%83excel%e4%b8%ad%e7%9a%84%e4%b8%a4%e5%88%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1104490.html","title":{"rendered":"\u5982\u4f55\u7528python\u6bd4\u8f83excel\u4e2d\u7684\u4e24\u5217"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25065834\/4a2fdfec-05d4-48f8-961c-af71a48f25d6.webp\" alt=\"\u5982\u4f55\u7528python\u6bd4\u8f83excel\u4e2d\u7684\u4e24\u5217\" \/><\/p>\n<p><p> <strong>\u7528Python\u6bd4\u8f83Excel\u4e2d\u7684\u4e24\u5217\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u6bd4\u8f83\u4e24\u5217\u7684\u6570\u636e\u3001\u8f93\u51fa\u7ed3\u679c\u3002<\/strong> \u4f60\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u5904\u7406Excel\u6587\u4ef6\uff0cPandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u64cd\u4f5c\u3002\u901a\u8fc7\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u5bf9\u4e24\u5217\u6570\u636e\u7684\u6bd4\u8f83\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><p><strong>\u5b89\u88c5\u548c\u5bfc\u5165\u6240\u9700\u5e93<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528pip\u5b89\u88c5Pandas\u548copenpyxl\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u6b65\u9aa4\u4e00\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/p>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u4e2d\u7684<code>read_excel<\/code>\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/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>file_path = &#39;example.xlsx&#39;<\/p>\n<p>df = pd.read_excel(file_path)<\/p>\n<h2><strong>\u67e5\u770b\u6570\u636e<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e00\u6b65\u4e2d\uff0c\u786e\u4fddExcel\u6587\u4ef6\u7684\u8def\u5f84\u6b63\u786e\uff0c\u5e76\u68c0\u67e5\u6570\u636e\u662f\u5426\u6210\u529f\u8bfb\u53d6\u3002<\/p>\n<\/p>\n<p><p><strong>\u6b65\u9aa4\u4e8c\u3001\u6bd4\u8f83\u4e24\u5217\u6570\u636e<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u65e6\u6570\u636e\u88ab\u6210\u529f\u8bfb\u53d6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684\u529f\u80fd\u6765\u6bd4\u8f83\u4e24\u5217\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u8981\u6bd4\u8f83\u5217&#39;A&#39;\u548c\u5217&#39;B&#39;\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6bd4\u8f83\u4e24\u5217\u6570\u636e<\/p>\n<p>df[&#39;Comparison&#39;] = df[&#39;A&#39;] == df[&#39;B&#39;]<\/p>\n<h2><strong>\u67e5\u770b\u6bd4\u8f83\u7ed3\u679c<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u65b0\u5217&#39;Comparison&#39;\uff0c\u7528\u4e8e\u5b58\u50a8\u6bd4\u8f83\u7ed3\u679c\u3002\u5982\u679c\u4e24\u5217\u6570\u636e\u76f8\u7b49\uff0c\u5219\u8be5\u5217\u7684\u503c\u4e3aTrue\uff0c\u5426\u5219\u4e3aFalse\u3002<\/p>\n<\/p>\n<p><p><strong>\u6b65\u9aa4\u4e09\u3001\u5904\u7406\u6bd4\u8f83\u7ed3\u679c<\/strong><\/p>\n<\/p>\n<p><p>\u6839\u636e\u6bd4\u8f83\u7ed3\u679c\uff0c\u4f60\u53ef\u4ee5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\uff0c\u4f8b\u5982\u8fc7\u6ee4\u51fa\u4e0d\u76f8\u7b49\u7684\u6570\u636e\uff0c\u6216\u8005\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8fc7\u6ee4\u51fa\u4e0d\u76f8\u7b49\u7684\u6570\u636e<\/p>\n<p>differences = df[df[&#39;Comparison&#39;] == False]<\/p>\n<h2><strong>\u67e5\u770b\u4e0d\u76f8\u7b49\u7684\u6570\u636e<\/strong><\/h2>\n<p>print(differences)<\/p>\n<h2><strong>\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d<\/strong><\/h2>\n<p>output_file_path = &#39;differences.xlsx&#39;<\/p>\n<p>differences.to_excel(output_file_path, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fc7\u6ee4\u51fa\u4e0d\u76f8\u7b49\u7684\u6570\u636e\uff0c\u7136\u540e\u5c06\u8fd9\u4e9b\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u5176\u4ed6\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u66f4\u590d\u6742\u7684\u60c5\u51b5\uff0c\u4f8b\u5982\u9700\u8981\u6bd4\u8f83\u4e24\u5217\u7684\u6570\u503c\u662f\u5426\u5728\u4e00\u5b9a\u8bef\u5dee\u8303\u56f4\u5185\u76f8\u7b49\uff0c\u6216\u8005\u9700\u8981\u5ffd\u7565\u5927\u5c0f\u5199\u8fdb\u884c\u6bd4\u8f83\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u81ea\u5b9a\u4e49\u6bd4\u8f83\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e9b\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><p><strong>\u81ea\u5b9a\u4e49\u6bd4\u8f83\u51fd\u6570<\/strong><\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u5e0c\u671b\u5ffd\u7565\u5927\u5c0f\u5199\u8fdb\u884c\u6bd4\u8f83\uff0c\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def compare_ignore_case(a, b):<\/p>\n<p>    if isinstance(a, str) and isinstance(b, str):<\/p>\n<p>        return a.lower() == b.lower()<\/p>\n<p>    return a == b<\/p>\n<h2><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u8fdb\u884c\u6bd4\u8f83<\/strong><\/h2>\n<p>df[&#39;Comparison&#39;] = df.apply(lambda row: compare_ignore_case(row[&#39;A&#39;], row[&#39;B&#39;]), axis=1)<\/p>\n<h2><strong>\u67e5\u770b\u6bd4\u8f83\u7ed3\u679c<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570<code>compare_ignore_case<\/code>\uff0c\u5e76\u4f7f\u7528<code>apply<\/code>\u65b9\u6cd5\u5c06\u5176\u5e94\u7528\u4e8e\u6bcf\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><p><strong>\u6570\u503c\u6bd4\u8f83<\/strong><\/p>\n<\/p>\n<p><p>\u5982\u679c\u6211\u4eec\u9700\u8981\u6bd4\u8f83\u4e24\u5217\u7684\u6570\u503c\u662f\u5426\u5728\u4e00\u5b9a\u8bef\u5dee\u8303\u56f4\u5185\u76f8\u7b49\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def compare_with_tolerance(a, b, tolerance=0.01):<\/p>\n<p>    if isinstance(a, (int, float)) and isinstance(b, (int, float)):<\/p>\n<p>        return abs(a - b) &lt;= tolerance<\/p>\n<p>    return a == b<\/p>\n<h2><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u8fdb\u884c\u6bd4\u8f83<\/strong><\/h2>\n<p>df[&#39;Comparison&#39;] = df.apply(lambda row: compare_with_tolerance(row[&#39;A&#39;], row[&#39;B&#39;]), axis=1)<\/p>\n<h2><strong>\u67e5\u770b\u6bd4\u8f83\u7ed3\u679c<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570<code>compare_with_tolerance<\/code>\uff0c\u5e76\u4f7f\u7528<code>apply<\/code>\u65b9\u6cd5\u5c06\u5176\u5e94\u7528\u4e8e\u6bcf\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><h3>\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u6570\u636e\u5904\u7406\u4e2d\uff0c\u4f60\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\uff08NaN\uff09\u7684\u60c5\u51b5\u3002\u4e3a\u4e86\u5904\u7406\u7f3a\u5931\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684<code>fillna<\/code>\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u586b\u5145\u7f3a\u5931\u503c<\/p>\n<p>df[&#39;A&#39;].fillna(&#39;Missing&#39;, inplace=True)<\/p>\n<p>df[&#39;B&#39;].fillna(&#39;Missing&#39;, inplace=True)<\/p>\n<h2><strong>\u91cd\u65b0\u8fdb\u884c\u6bd4\u8f83<\/strong><\/h2>\n<p>df[&#39;Comparison&#39;] = df[&#39;A&#39;] == df[&#39;B&#39;]<\/p>\n<h2><strong>\u67e5\u770b\u6bd4\u8f83\u7ed3\u679c<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>fillna<\/code>\u65b9\u6cd5\u5c06\u7f3a\u5931\u503c\u586b\u5145\u4e3a&#39;Missing&#39;\uff0c\u7136\u540e\u91cd\u65b0\u8fdb\u884c\u6bd4\u8f83\u3002<\/p>\n<\/p>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Pandas\u5e93\u8f7b\u677e\u5b9e\u73b0\u5bf9Excel\u6587\u4ef6\u4e2d\u4e24\u5217\u6570\u636e\u7684\u6bd4\u8f83\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u7b49\u503c\u6bd4\u8f83\uff0c\u8fd8\u662f\u590d\u6742\u7684\u81ea\u5b9a\u4e49\u6bd4\u8f83\u51fd\u6570\uff0c\u6211\u4eec\u90fd\u53ef\u4ee5\u901a\u8fc7Pandas\u63d0\u4f9b\u7684\u5f3a\u5927\u529f\u80fd\u6765\u5b9e\u73b0\u3002\u6b64\u5916\uff0c\u5904\u7406\u7f3a\u5931\u503c\u3001\u4fdd\u5b58\u7ed3\u679c\u7b49\u64cd\u4f5c\u4e5f\u540c\u6837\u7b80\u5355\u9ad8\u6548\u3002<\/p>\n<\/p>\n<p><p>\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u4f7f\u7528Python\u6bd4\u8f83Excel\u4e2d\u7684\u4e24\u5217\u6570\u636e\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u9700\u8981\u8fdb\u4e00\u6b65\u7684\u5e2e\u52a9\uff0c\u8bf7\u968f\u65f6\u63d0\u51fa\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong><br \/>\u8981\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6Excel\u6587\u4ef6\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6Excel\u6587\u4ef6\ndata = pd.read_excel(&#39;\u6587\u4ef6\u8def\u5f84.xlsx&#39;, sheet_name=&#39;\u5de5\u4f5c\u8868\u540d\u79f0&#39;)\n<\/code><\/pre>\n<p>\u8fd9\u6837\u5c31\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u5904\u7406\u3002<\/p>\n<p><strong>\u7528Python\u6bd4\u8f83Excel\u4e2d\u7684\u4e24\u5217\u65f6\uff0c\u600e\u6837\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong><br \/>\u5728\u6bd4\u8f83Excel\u4e2d\u7684\u4e24\u5217\u65f6\uff0c\u7f3a\u5931\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u7ed3\u679c\u3002\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684<code>fillna()<\/code>\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u9009\u62e9\u7528\u96f6\u6216\u67d0\u4e2a\u7279\u5b9a\u503c\u586b\u5145\u7f3a\u5931\u9879\uff1a  <\/p>\n<pre><code class=\"language-python\">data[&#39;\u5217\u540d1&#39;] = data[&#39;\u5217\u540d1&#39;].fillna(0)\ndata[&#39;\u5217\u540d2&#39;] = data[&#39;\u5217\u540d2&#39;].fillna(0)\n<\/code><\/pre>\n<p>\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u5728\u8fdb\u884c\u6bd4\u8f83\u65f6\u4e0d\u53d7\u7f3a\u5931\u503c\u7684\u5f71\u54cd\u3002<\/p>\n<p><strong>\u6bd4\u8f83Excel\u4e2d\u4e24\u5217\u540e\uff0c\u5982\u4f55\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\uff1f<\/strong><br \/>\u5728\u6bd4\u8f83\u5b8c\u4e24\u5217\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684<code>to_excel()<\/code>\u65b9\u6cd5\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff1a  <\/p>\n<pre><code class=\"language-python\">data[&#39;\u6bd4\u8f83\u7ed3\u679c&#39;] = data[&#39;\u5217\u540d1&#39;] == data[&#39;\u5217\u540d2&#39;]\ndata.to_excel(&#39;\u7ed3\u679c\u6587\u4ef6\u8def\u5f84.xlsx&#39;, index=False)\n<\/code><\/pre>\n<p>\u8fd9\u5c06\u4f1a\u628a\u6bd4\u8f83\u7ed3\u679c\u6dfb\u52a0\u5230DataFrame\u4e2d\uff0c\u5e76\u4fdd\u5b58\u4e3a\u65b0\u7684Excel\u6587\u4ef6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u6bd4\u8f83Excel\u4e2d\u7684\u4e24\u5217\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u6bd4\u8f83\u4e24\u5217\u7684\u6570\u636e\u3001\u8f93\u51fa\u7ed3\u679c\u3002 [&hellip;]","protected":false},"author":3,"featured_media":1104497,"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\/1104490"}],"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=1104490"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1104490\/revisions"}],"predecessor-version":[{"id":1104500,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1104490\/revisions\/1104500"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1104497"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1104490"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1104490"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1104490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}