{"id":960581,"date":"2024-12-27T03:50:58","date_gmt":"2024-12-26T19:50:58","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/960581.html"},"modified":"2024-12-27T03:51:00","modified_gmt":"2024-12-26T19:51:00","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96wps%e8%a1%a8%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/960581.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6wps\u8868\u683c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103043\/ba2b498c-4f32-45a3-9ab9-5bed93f02fc3.webp\" alt=\"python\u5982\u4f55\u8bfb\u53d6wps\u8868\u683c\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u8bfb\u53d6WPS\u8868\u683c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u4e3b\u8981\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528<code>pandas<\/code>\u5e93\u7ed3\u5408<code>xlrd<\/code>\u3001<code>openpyxl<\/code>\u6216<code>odfpy<\/code>\u5e93\u89e3\u6790WPS\u8868\u683c\u3001\u5229\u7528<code>pywpsrpc<\/code>\u5e93\u76f4\u63a5\u4e0eWPS API\u4ea4\u4e92\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/strong>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\u7684\u4e00\u79cd\uff1a\u4f7f\u7528<code>pandas<\/code>\u7ed3\u5408<code>openpyxl<\/code>\u8bfb\u53d6WPS\u8868\u683c\u3002<\/p>\n<\/p>\n<p><p>\u4f7f\u7528<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u6765\u8bfb\u53d6WPS\u8868\u683c\u5177\u6709\u9ad8\u6548\u3001\u7b80\u5355\u4e14\u529f\u80fd\u5f3a\u5927\u7684\u4f18\u70b9\u3002\u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86\u76f8\u5173\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\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>\u4e00\u3001\u4f7f\u7528PANDAS\u548cOPENPYXL\u8bfb\u53d6WPS\u8868\u683c<\/p>\n<\/p>\n<p><p><code>pandas<\/code>\u662fPython\u4e2d\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<code>openpyxl<\/code>\u662f\u4e00\u4e2a\u5904\u7406Excel\u6587\u4ef6\u7684Python\u5e93\uff0c\u652f\u6301\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u3002\u901a\u8fc7\u8fd9\u4e24\u8005\u7684\u7ed3\u5408\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>1. \u5b89\u88c5\u548c\u914d\u7f6e<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u4e4b\u524d\uff0c\u786e\u4fdd\u5df2\u6b63\u786e\u5b89\u88c5\u8fd9\u4e9b\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2. \u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2aWPS\u8868\u683c\u6587\u4ef6\u540d\u4e3a<code>sample.xlsx<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u8bfb\u53d6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u4f7f\u7528pandas\u7684read_excel\u51fd\u6570\u8bfb\u53d6\u8868\u683c\u6587\u4ef6<\/strong><\/h2>\n<p>data = pd.read_excel(&#39;sample.xlsx&#39;, engine=&#39;openpyxl&#39;)<\/p>\n<h2><strong>\u67e5\u770b\u6570\u636e\u7684\u524d\u51e0\u884c<\/strong><\/h2>\n<p>print(data.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c<code>read_excel<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5185\u5bb9\u52a0\u8f7d\u5230\u4e00\u4e2a<code>DataFrame<\/code>\u5bf9\u8c61\u4e2d\u3002<code>engine=&#39;openpyxl&#39;<\/code>\u53c2\u6570\u6307\u5b9a\u4f7f\u7528<code>openpyxl<\/code>\u5f15\u64ce\u6765\u89e3\u6790Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>3. \u6570\u636e\u5904\u7406<\/h3>\n<\/p>\n<p><p>\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5229\u7528<code>pandas<\/code>\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u8fc7\u6ee4\u3001\u805a\u5408\u548c\u7edf\u8ba1\u5206\u6790\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8fc7\u6ee4\u6570\u636e\uff0c\u53ea\u9009\u62e9\u7279\u5b9a\u5217<\/p>\n<p>filtered_data = data[[&#39;Column1&#39;, &#39;Column2&#39;]]<\/p>\n<h2><strong>\u805a\u5408\u6570\u636e\uff0c\u8ba1\u7b97\u5e73\u5747\u503c<\/strong><\/h2>\n<p>average_values = data.groupby(&#39;Category&#39;).mean()<\/p>\n<h2><strong>\u6253\u5370\u5904\u7406\u540e\u7684\u6570\u636e<\/strong><\/h2>\n<p>print(filtered_data)<\/p>\n<p>print(average_values)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>pandas<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u5904\u7406\u65b9\u6cd5\uff0c\u5982<code>groupby<\/code>\u3001<code>agg<\/code>\u3001<code>filter<\/code>\u7b49\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u590d\u6742\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528PYWPSRPC\u4e0eWPS API\u4ea4\u4e92<\/p>\n<\/p>\n<p><h3>1. \u5b89\u88c5\u548c\u914d\u7f6e<\/h3>\n<\/p>\n<p><p><code>pywpsrpc<\/code>\u5e93\u662f\u4e0eWPS\u8f6f\u4ef6\u8fdb\u884c\u4ea4\u4e92\u7684Python\u5e93\uff0c\u901a\u8fc7\u5b83\u53ef\u4ee5\u76f4\u63a5\u64cd\u4f5cWPS\u8f6f\u4ef6\uff0c\u8bfb\u53d6\u548c\u5199\u5165WPS\u8868\u683c\u6587\u4ef6\u3002\u9996\u5148\uff0c\u9700\u8981\u786e\u4fddWPS Office\u5df2\u5b89\u88c5\uff0c\u5e76\u4e14<code>pywpsrpc<\/code>\u5e93\u5df2\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pywpsrpc<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2. \u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>pywpsrpc<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7WPS API\u8bfb\u53d6\u8868\u683c\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywpsrpc as rpc<\/p>\n<h2><strong>\u521d\u59cb\u5316WPS\u5ba2\u6237\u7aef<\/strong><\/h2>\n<p>client = rpc.WpsRpcClient()<\/p>\n<p>app = client.createWpsApplication()<\/p>\n<h2><strong>\u6253\u5f00WPS\u8868\u683c\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = app.Workbooks.Open(&#39;sample.xlsx&#39;)<\/p>\n<h2><strong>\u8bfb\u53d6\u6307\u5b9aSheet\u7684\u5185\u5bb9<\/strong><\/h2>\n<p>sheet = workbook.Sheets[0]<\/p>\n<p>value = sheet.Cells(1, 1).Value<\/p>\n<h2><strong>\u6253\u5370\u8bfb\u53d6\u7684\u503c<\/strong><\/h2>\n<p>print(value)<\/p>\n<h2><strong>\u5173\u95ed\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n<p>workbook.Close()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3. \u4f18\u7f3a\u70b9\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>pywpsrpc<\/code>\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u76f4\u63a5\u4e0eWPS\u8f6f\u4ef6\u4ea4\u4e92\uff0c\u652f\u6301\u66f4\u591a\u7684WPS\u7279\u6027\u548c\u529f\u80fd\u3002\u7136\u800c\uff0c\u5b83\u7684\u7f3a\u70b9\u662f\u9700\u8981WPS\u8f6f\u4ef6\u7684\u652f\u6301\uff0c\u5e76\u4e14\u4e0d\u5982<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u90a3\u6837\u6613\u4e8e\u5b89\u88c5\u548c\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\u3002\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u73af\u5883\u3002\u5982\u679c\u9700\u8981\u7b80\u5355\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\uff0c<code>pandas<\/code>\u7ed3\u5408<code>openpyxl<\/code>\u662f\u5f88\u597d\u7684\u9009\u62e9\uff1b\u5982\u679c\u9700\u8981\u5229\u7528WPS\u7279\u6709\u7684\u529f\u80fd\u548c\u7279\u6027\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528<code>pywpsrpc<\/code>\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0cPython\u4e30\u5bcc\u7684\u751f\u6001\u7cfb\u7edf\u90fd\u80fd\u4e3a\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\uff1f<\/strong><br \/>\u5728Python\u4e2d\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u901a\u5e38\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u4e0e<code>openpyxl<\/code>\u6216<code>xlrd<\/code>\u5e93\u7ed3\u5408\u4f7f\u7528\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u5b89\u88c5\u8fd9\u4e9b\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a  <\/p>\n<pre><code class=\"language-bash\">pip install pandas openpyxl xlrd\n<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas.read_excel()<\/code>\u51fd\u6570\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u3002\u9700\u8981\u63d0\u4f9b\u6587\u4ef6\u8def\u5f84\u548c\u6587\u4ef6\u7c7b\u578b\u4fe1\u606f\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\ndf = pd.read_excel(&#39;\u4f60\u7684\u6587\u4ef6\u8def\u5f84.xlsx&#39;, engine=&#39;openpyxl&#39;)\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06WPS\u8868\u683c\u6570\u636e\u52a0\u8f7d\u5230Python\u4e2d\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u8bfb\u53d6\u5176\u4ed6\u683c\u5f0f\u7684WPS\u6587\u4ef6\uff1f<\/strong><br \/>WPS\u529e\u516c\u8f6f\u4ef6\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u5982<code>.et<\/code>\uff08WPS\u8868\u683c\u6587\u4ef6\uff09\u3002\u867d\u7136<code>pandas<\/code>\u4e3b\u8981\u652f\u6301<code>.xlsx<\/code>\u548c<code>.xls<\/code>\u6587\u4ef6\u683c\u5f0f\uff0c\u4f46\u4f60\u53ef\u4ee5\u5c1d\u8bd5\u5c06<code>.et<\/code>\u6587\u4ef6\u8f6c\u6362\u4e3a<code>.xlsx<\/code>\u683c\u5f0f\uff0c\u4e4b\u540e\u518d\u7528<code>pandas<\/code>\u8fdb\u884c\u8bfb\u53d6\u3002\u8f6c\u6362\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e0a\u9762\u63d0\u5230\u7684\u65b9\u6cd5\u8bfb\u53d6\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u8bfb\u53d6WPS\u8868\u683c\u540e\uff0c\u5982\u4f55\u5904\u7406\u6570\u636e\uff1f<\/strong><br \/>\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u540e\uff0c\u4f60\u53ef\u4ee5\u5229\u7528<code>pandas<\/code>\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u6765\u5206\u6790\u548c\u5904\u7406\u6570\u636e\u3002\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u7b5b\u9009\u3001\u5206\u7ec4\u3001\u805a\u5408\u7b49\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>df.describe()<\/code>\u67e5\u770b\u6570\u636e\u6982\u51b5\uff0c\u6216\u4f7f\u7528<code>df.groupby()<\/code>\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u5206\u6790\u3002<code>pandas<\/code>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u9ad8\u6548\u5730\u5904\u7406\u8868\u683c\u6570\u636e\u3002<\/p>\n<p><strong>\u8bfb\u53d6WPS\u8868\u683c\u65f6\uff0c\u5982\u4f55\u5904\u7406\u4e71\u7801\u95ee\u9898\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6WPS\u8868\u683c\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e71\u7801\u95ee\u9898\u3002\u786e\u4fdd\u5728\u4f7f\u7528<code>read_excel()<\/code>\u65f6\u6307\u5b9a\u6b63\u786e\u7684\u7f16\u7801\u683c\u5f0f\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c<code>pandas<\/code>\u4f1a\u81ea\u52a8\u5904\u7406\u7f16\u7801\u95ee\u9898\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528<code>encoding<\/code>\u53c2\u6570\u3002\u5982\u679c\u4f9d\u7136\u51fa\u73b0\u4e71\u7801\uff0c\u53ef\u4ee5\u5148\u5728WPS\u4e2d\u5c06\u6587\u4ef6\u53e6\u5b58\u4e3a\u5176\u4ed6\u683c\u5f0f\uff08\u5982<code>.xlsx<\/code>\uff09\u518d\u8fdb\u884c\u8bfb\u53d6\uff0c\u8fd9\u6837\u53ef\u4ee5\u51cf\u5c11\u4e71\u7801\u51fa\u73b0\u7684\u51e0\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u8bfb\u53d6WPS\u8868\u683c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u4e3b\u8981\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528pandas\u5e93\u7ed3\u5408xlrd\u3001openp 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