{"id":1054476,"date":"2024-12-31T14:42:39","date_gmt":"2024-12-31T06:42:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1054476.html"},"modified":"2024-12-31T14:42:41","modified_gmt":"2024-12-31T06:42:41","slug":"%e5%a6%82%e4%bd%95%e5%b0%86python%e6%95%b0%e6%8d%ae%e4%bf%9d%e5%ad%98%e5%88%b0excel","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1054476.html","title":{"rendered":"\u5982\u4f55\u5c06python\u6570\u636e\u4fdd\u5b58\u5230excel"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/2fddb7ad-8b21-410a-b856-14220f27df1c.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"\u5982\u4f55\u5c06python\u6570\u636e\u4fdd\u5b58\u5230excel\" \/><\/p>\n<p><p> <strong>\u8981\u5c06Python\u6570\u636e\u4fdd\u5b58\u5230Excel\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3001OpenPyXL\u5e93\u3001XlsxWriter\u5e93\u3002<\/strong> \u5176\u4e2d\uff0c<strong>pandas\u5e93<\/strong>\u662f\u6700\u5e38\u7528\u4e14\u529f\u80fd\u5f3a\u5927\u7684\u9009\u9879\u3002\u5b83\u63d0\u4f9b\u4e86\u7b80\u4fbf\u7684\u65b9\u6cd5\u6765\u5c06\u6570\u636e\u4ecePython\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528pandas\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e2a\u76ee\u6807\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u4ee5\u53caopenpyxl\u5e93\uff08\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\uff09\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">pip install pandas openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165\u8fd9\u4e9b\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><h3>\u4e8c\u3001\u521b\u5efa\u6570\u636e\u6846\uff08DataFrame\uff09<\/h3>\n<\/p>\n<p><p>\u6570\u636e\u6846\u662fpandas\u5e93\u4e2d\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u3002\u5b83\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u3002\u4f60\u53ef\u4ee5\u4ece\u5b57\u5178\u3001\u5217\u8868\u6216\u5176\u4ed6\u6570\u636e\u7ed3\u6784\u4e2d\u521b\u5efa\u6570\u636e\u6846\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = {<\/p>\n<p>    &#39;Name&#39;: [&#39;John&#39;, &#39;Anna&#39;, &#39;Peter&#39;, &#39;Linda&#39;],<\/p>\n<p>    &#39;Age&#39;: [28, 24, 35, 32],<\/p>\n<p>    &#39;City&#39;: [&#39;New York&#39;, &#39;Paris&#39;, &#39;Berlin&#39;, &#39;London&#39;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u5c06\u6570\u636e\u6846\u4fdd\u5b58\u5230Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>pandas\u5e93\u63d0\u4f9b\u4e86<code>DataFrame.to_excel()<\/code>\u65b9\u6cd5\u6765\u5c06\u6570\u636e\u6846\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\u3002\u4f60\u53ef\u4ee5\u6307\u5b9a\u6587\u4ef6\u540d\u3001\u5de5\u4f5c\u8868\u540d\u7b49\u53c2\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df.to_excel(&#39;output.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>index=False<\/code>\u8868\u793a\u4e0d\u5c06\u6570\u636e\u6846\u7684\u7d22\u5f15\u5199\u5165Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5728Excel\u6587\u4ef6\u4e2d\u6dfb\u52a0\u591a\u4e2a\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u5019\u4f60\u53ef\u80fd\u9700\u8981\u5728\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\u4fdd\u5b58\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528<code>pandas.ExcelWriter<\/code>\u5bf9\u8c61\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">with pd.ExcelWriter(&#39;output.xlsx&#39;) as writer:<\/p>\n<p>    df.to_excel(writer, sheet_name=&#39;Sheet1&#39;)<\/p>\n<p>    df.to_excel(writer, sheet_name=&#39;Sheet2&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u683c\u5f0f\u5316Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>pandas\u5e93\u7684\u57fa\u7840\u529f\u80fd\u867d\u7136\u5f3a\u5927\uff0c\u4f46\u5b83\u5728Excel\u683c\u5f0f\u5316\u65b9\u9762\u7684\u80fd\u529b\u6709\u9650\u3002\u4e3a\u6b64\uff0c\u4f60\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528<code>OpenPyXL<\/code>\u6216<code>XlsxWriter<\/code>\u5e93\u6765\u8fdb\u884c\u66f4\u590d\u6742\u7684\u683c\u5f0f\u5316\u64cd\u4f5c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>import xlsxwriter<\/p>\n<h2><strong>\u521b\u5efaExcelWriter\u5bf9\u8c61<\/strong><\/h2>\n<p>with pd.ExcelWriter(&#39;formatted_output.xlsx&#39;, engine=&#39;xlsxwriter&#39;) as writer:<\/p>\n<p>    df.to_excel(writer, sheet_name=&#39;Sheet1&#39;, index=False)<\/p>\n<p>    # \u83b7\u53d6\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u5bf9\u8c61<\/p>\n<p>    workbook  = writer.book<\/p>\n<p>    worksheet = writer.sheets[&#39;Sheet1&#39;]<\/p>\n<p>    # \u6dfb\u52a0\u683c\u5f0f\u5316<\/p>\n<p>    format1 = workbook.add_format({&#39;num_format&#39;: &#39;0.00&#39;})<\/p>\n<p>    worksheet.set_column(&#39;B:B&#39;, None, format1)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u5904\u7406\u5927\u6570\u636e\u96c6<\/h3>\n<\/p>\n<p><p>\u5f53\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\uff0c\u76f4\u63a5\u5c06\u6240\u6709\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5185\u5b58\u95ee\u9898\u3002\u4e3a\u6b64\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528<code>chunk<\/code>\u53c2\u6570\u6765\u5206\u5757\u5904\u7406\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">chunk_size = 1000<\/p>\n<p>chunks = pd.read_csv(&#39;large_data.csv&#39;, chunksize=chunk_size)<\/p>\n<p>for i, chunk in enumerate(chunks):<\/p>\n<p>    chunk.to_excel(f&#39;output_chunk_{i}.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u4ece\u5176\u4ed6\u6570\u636e\u6e90\u8bfb\u53d6\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4ece\u5b57\u5178\u6216\u5217\u8868\u4e2d\u521b\u5efa\u6570\u636e\u6846\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4ece\u5176\u4ed6\u6570\u636e\u6e90\uff08\u5982\u6570\u636e\u5e93\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u7b49\uff09\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p>df.to_excel(&#39;output_from_csv.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528pandas\u5e93\u4ee5\u53ca\u5176\u4ed6\u8f85\u52a9\u5e93\uff08\u5982OpenPyXL\u548cXlsxWriter\uff09\uff0c\u4f60\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06Python\u6570\u636e\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u590d\u6742\u7684\u683c\u5f0f\u5316\u64cd\u4f5c\u3002\u65e0\u8bba\u662f\u5904\u7406\u5c0f\u578b\u6570\u636e\u96c6\u8fd8\u662f\u5927\u578b\u6570\u636e\u96c6\uff0cpandas\u5e93\u90fd\u63d0\u4f9b\u4e86\u7075\u6d3b\u4e14\u9ad8\u6548\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<p><p>\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5c06Python\u6570\u636e\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u6839\u636e\u5b9e\u9645\u9700\u6c42\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff1f<\/strong><br \/>\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u6700\u5e38\u89c1\u7684\u5e93\u662fPandas\u548cOpenPyXL\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5e76\u4e14\u6709\u4e00\u4e2a\u7b80\u5355\u7684\u65b9\u6cd5\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u60a8\u53ea\u9700\u5c06\u6570\u636e\u8bfb\u53d6\u5230DataFrame\u4e2d\uff0c\u7136\u540e\u4f7f\u7528<code>to_excel()<\/code>\u65b9\u6cd5\u5373\u53ef\u5c06\u5176\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\u3002\u786e\u4fdd\u5b89\u88c5\u4e86\u76f8\u5e94\u7684\u5e93\u5e76\u5bfc\u5165\u3002<\/p>\n<p><strong>\u5728\u4fdd\u5b58\u6570\u636e\u65f6\uff0c\u5982\u4f55\u786e\u4fddExcel\u6587\u4ef6\u683c\u5f0f\u6b63\u786e\uff1f<\/strong><br \/>\u4e3a\u4e86\u786e\u4fddExcel\u6587\u4ef6\u683c\u5f0f\u6b63\u786e\uff0c\u60a8\u9700\u8981\u6ce8\u610f\u6570\u636e\u7c7b\u578b\u7684\u8f6c\u6362\u3002\u4f8b\u5982\uff0c\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e\u5e94\u786e\u4fdd\u4e3adatetime\u683c\u5f0f\uff0c\u6570\u503c\u6570\u636e\u5e94\u4e3a\u6574\u6570\u6216\u6d6e\u70b9\u6570\u3002\u4f7f\u7528Pandas\u65f6\uff0c\u901a\u5e38\u53ef\u4ee5\u81ea\u52a8\u5904\u7406\u8fd9\u4e9b\u8f6c\u6362\u3002\u6b64\u5916\uff0c\u68c0\u67e5\u5217\u540d\u548c\u7d22\u5f15\u4ee5\u786e\u4fdd\u5b83\u4eec\u5728Excel\u4e2d\u663e\u793a\u6b63\u786e\uff0c\u8fd9\u6837\u80fd\u63d0\u9ad8\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u5c06\u591a\u4e2aDataFrame\u4fdd\u5b58\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\uff1f<\/strong><br \/>\u662f\u7684\uff0c\u53ef\u4ee5\u5c06\u591a\u4e2aDataFrame\u4fdd\u5b58\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u7684\u4e0d\u540c\u5de5\u4f5c\u8868\u4e2d\u3002\u4f7f\u7528Pandas\u7684<code>ExcelWriter<\/code>\u7c7b\uff0c\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\u3002\u521b\u5efa\u4e00\u4e2a<code>ExcelWriter<\/code>\u5bf9\u8c61\uff0c\u5e76\u5728\u6bcf\u4e2aDataFrame\u4e0a\u8c03\u7528<code>to_excel()<\/code>\u65b9\u6cd5\uff0c\u5e76\u6307\u5b9a<code>sheet_name<\/code>\u53c2\u6570\u3002\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u6587\u4ef6\u4e2d\u7ba1\u7406\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u63d0\u9ad8\u6570\u636e\u7684\u7ec4\u7ec7\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5c06Python\u6570\u636e\u4fdd\u5b58\u5230Excel\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3001OpenPyXL\u5e93\u3001XlsxWriter\u5e93\u3002 [&hellip;]","protected":false},"author":3,"featured_media":1054489,"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\/1054476"}],"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=1054476"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054476\/revisions"}],"predecessor-version":[{"id":1054493,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054476\/revisions\/1054493"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1054489"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1054476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1054476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1054476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}