{"id":945566,"date":"2024-12-26T23:27:12","date_gmt":"2024-12-26T15:27:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945566.html"},"modified":"2024-12-26T23:27:13","modified_gmt":"2024-12-26T15:27:13","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96xls","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/945566.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6xls"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25082118\/91cd590b-0770-47c6-a35a-060164c70503.webp\" alt=\"python\u5982\u4f55\u8bfb\u53d6xls\" \/><\/p>\n<p><p> <strong>Python\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f\u7528xlrd\u5e93\u3001pandas\u5e93\u3001openpyxl\u5e93\u7b49\u3002\u5176\u4e2d\uff0cpandas\u5e93\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u8fd8\u80fd\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002pandas\u5e93\u6613\u4e8e\u4f7f\u7528\uff0c\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\uff0c\u63a8\u8350\u4f7f\u7528\u3002<\/strong><\/p>\n<\/p>\n<p><p><strong>\u4f7f\u7528pandas\u5e93\u8bfb\u53d6xls\u6587\u4ef6\u7684\u8be6\u7ec6\u6b65\u9aa4\uff1a\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5pandas\u5e93\uff0c\u5176\u6b21\uff0c\u4f7f\u7528pandas\u63d0\u4f9b\u7684read_excel\u51fd\u6570\u6765\u8bfb\u53d6\u6587\u4ef6\uff0c\u6700\u540e\uff0c\u5229\u7528DataFrame\u5bf9\u8c61\u6765\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u5173\u4e8e\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6xls\u6587\u4ef6\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n<p><p>\u4e00\u3001XLRS\u5e93\u8bfb\u53d6XLS\u6587\u4ef6<\/p>\n<\/p>\n<p><p>xlrd\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684Python\u5e93\uff0c\u7279\u522b\u662fxls\u683c\u5f0f\u3002\u867d\u7136\u5b83\u5728\u5904\u7406xls\u6587\u4ef6\u65f6\u975e\u5e38\u6709\u6548\uff0c\u4f46\u7531\u4e8e\u5176\u529f\u80fd\u76f8\u5bf9\u8f83\u5c11\uff0c\u9010\u6e10\u88abpandas\u7b49\u66f4\u5f3a\u5927\u7684\u5e93\u6240\u53d6\u4ee3\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165xlrd\u5e93<\/li>\n<\/ol>\n<p><p>\u8981\u4f7f\u7528xlrd\u5e93\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install xlrd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165xlrd\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xlrd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528xlrd\u8bfb\u53d6xls\u6587\u4ef6<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528xlrd\u8bfb\u53d6xls\u6587\u4ef6\u7684\u6b65\u9aa4\u5305\u62ec\u6253\u5f00\u6587\u4ef6\u3001\u9009\u62e9\u5de5\u4f5c\u8868\u4ee5\u53ca\u8bfb\u53d6\u6570\u636e\u3002\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00xls\u6587\u4ef6<\/p>\n<p>workbook = xlrd.open_workbook(&#39;example.xls&#39;)<\/p>\n<h2><strong>\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>sheet = workbook.sheet_by_index(0)  # \u9009\u62e9\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/p>\n<h2><strong>\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n<p>for row_idx in range(sheet.nrows):<\/p>\n<p>    row = sheet.row_values(row_idx)<\/p>\n<p>    print(row)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001PANDAS\u5e93\u8bfb\u53d6XLS\u6587\u4ef6<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u5904\u7406xls\u6587\u4ef6\u3002\u5b83\u4e0d\u4ec5\u652f\u6301xls\u683c\u5f0f\uff0c\u8fd8\u652f\u6301xlsx\u7b49\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165pandas\u5e93<\/li>\n<\/ol>\n<p><p>\u5728\u4f7f\u7528pandas\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\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<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165pandas\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528pandas\u8bfb\u53d6xls\u6587\u4ef6<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528pandas\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u4f7f\u7528<code>read_excel<\/code>\u51fd\u6570\u5373\u53ef\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6xls\u6587\u4ef6<\/p>\n<p>df = pd.read_excel(&#39;example.xls&#39;)<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0cpandas\u4f1a\u81ea\u52a8\u5904\u7406\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3001\u7f3a\u5931\u503c\u586b\u8865\u7b49\u5de5\u4f5c\uff0c\u4f7f\u5f97\u6570\u636e\u5904\u7406\u66f4\u52a0\u7b80\u4fbf\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e09\u3001OPENPYXL\u5e93\u8bfb\u53d6XLSX\u6587\u4ef6<\/p>\n<\/p>\n<p><p>\u5c3d\u7ba1openpyxl\u4e3b\u8981\u7528\u4e8e\u5904\u7406xlsx\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u4f46\u5b83\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u64cd\u4f5cExcel\u6587\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165openpyxl\u5e93<\/li>\n<\/ol>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165openpyxl\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528openpyxl\u8bfb\u53d6xls\u6587\u4ef6<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528openpyxl\u8bfb\u53d6xls\u6587\u4ef6\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6253\u5f00\u5de5\u4f5c\u7c3f<\/p>\n<p>workbook = load_workbook(&#39;example.xlsx&#39;)<\/p>\n<h2><strong>\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>sheet = workbook.active<\/p>\n<h2><strong>\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n<p>for row in sheet.iter_rows(values_only=True):<\/p>\n<p>    print(row)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>openpyxl\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u529f\u80fd\uff0c\u5982\u4fee\u6539\u5355\u5143\u683c\u683c\u5f0f\u3001\u56fe\u8868\u751f\u6210\u7b49\uff0c\u9002\u5408\u5bf9Excel\u6587\u4ef6\u6709\u66f4\u591a\u64cd\u4f5c\u9700\u6c42\u7684\u7528\u6237\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u56db\u3001PYXL\u5e93\u4e0e\u5176\u4ed6\u5e93\u7684\u6bd4\u8f83<\/p>\n<\/p>\n<p><p>\u5728\u9009\u62e9\u5e93\u65f6\uff0c\u9700\u8981\u6839\u636e\u9879\u76ee\u7684\u5177\u4f53\u9700\u6c42\u6765\u51b3\u5b9a\u4f7f\u7528\u54ea\u4e2a\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u6bd4\u8f83\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>xlrd<\/strong>\uff1a\u8f7b\u91cf\u7ea7\uff0c\u4e13\u6ce8\u4e8exls\u683c\u5f0f\uff0c\u9002\u5408\u7b80\u5355\u8bfb\u53d6\u64cd\u4f5c\u3002<\/li>\n<li><strong>pandas<\/strong>\uff1a\u529f\u80fd\u5f3a\u5927\uff0c\u652f\u6301\u591a\u79cd\u683c\u5f0f\uff0c\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/li>\n<li><strong>openpyxl<\/strong>\uff1a\u652f\u6301xlsx\u683c\u5f0f\uff0c\u529f\u80fd\u5168\u9762\uff0c\u9002\u5408\u9700\u8981\u66f4\u591a\u64cd\u4f5c\u7684\u573a\u666f\u3002<\/li>\n<\/ul>\n<p><p>\u4e94\u3001\u5e94\u7528\u573a\u666f\u548c\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u573a\u666f\u9009\u62e9\u5408\u9002\u7684\u5e93\u3002\u4f8b\u5982\uff0c\u5728\u5927\u6570\u636e\u91cf\u7684\u60c5\u51b5\u4e0b\uff0cpandas\u53ef\u80fd\u66f4\u5408\u9002\uff0c\u56e0\u4e3a\u5b83\u5177\u6709\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002\u6ce8\u610f\u4e8b\u9879\u5305\u62ec\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\u3002<\/li>\n<li>\u5904\u7406\u7f3a\u5931\u503c\u548c\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3002<\/li>\n<li>\u6ce8\u610f\u4e0d\u540c\u5e93\u7684\u7248\u672c\u517c\u5bb9\u6027\u3002<\/li>\n<\/ul>\n<p><p>\u603b\u7ed3\u6765\u8bf4\uff0cPython\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u5f0f\u591a\u79cd\u591a\u6837\uff0c\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u5e93\u3002pandas\u5e93\u7531\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\uff0c\u901a\u5e38\u662f\u9996\u9009\u3002\u901a\u8fc7\u5408\u7406\u5229\u7528\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u548c\u5206\u6790\u5de5\u4f5c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u7528Python\u8bfb\u53d6xls\u6587\u4ef6\uff1f<\/strong><br \/>\u8981\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>xlrd<\/code>\u5e93\uff0c\u8fd9\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684Python\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86\u8be5\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7<code>pip install xlrd<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u7740\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6253\u5f00\u5e76\u8bfb\u53d6xls\u6587\u4ef6\u7684\u5185\u5bb9\uff1a<\/p>\n<pre><code class=\"language-python\">import xlrd\n\n# \u6253\u5f00xls\u6587\u4ef6\nworkbook = xlrd.open_workbook(&#39;\u6587\u4ef6\u8def\u5f84.xls&#39;)\nsheet = workbook.sheet_by_index(0)  # \u9009\u62e9\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\n\n# \u8bfb\u53d6\u7279\u5b9a\u5355\u5143\u683c\u7684\u503c\ncell_value = sheet.cell_value(row, col)\nprint(cell_value)\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u8f83\u8001\u7684xls\u683c\u5f0f\uff0c\u5982\u679c\u9700\u8981\u5904\u7406\u66f4\u65b0\u7684xlsx\u683c\u5f0f\uff0c\u5efa\u8bae\u4f7f\u7528<code>openpyxl<\/code>\u6216<code>pandas<\/code>\u5e93\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u4f7f\u7528pandas\u8bfb\u53d6xls\u6587\u4ef6\uff1f<\/strong><br \/>\u5f53\u7136\u53ef\u4ee5\u3002<code>pandas<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u8bfb\u53d6xls\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86<code>pandas<\/code>\u548c<code>xlrd<\/code>\u5e93\u3002\u4f7f\u7528<code>pandas.read_excel()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6xls\u6587\u4ef6\ndf = pd.read_excel(&#39;\u6587\u4ef6\u8def\u5f84.xls&#39;, sheet_name=0)  # \u9009\u62e9\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u65b9\u4fbf\uff0c\u800c\u4e14\u80fd\u591f\u76f4\u63a5\u5c06\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<p><strong>\u8bfb\u53d6xls\u6587\u4ef6\u65f6\u662f\u5426\u9700\u8981\u8003\u8651\u6570\u636e\u683c\u5f0f\uff1f<\/strong><br \/>\u786e\u5b9e\u5982\u6b64\uff0c\u8bfb\u53d6xls\u6587\u4ef6\u65f6\u8981\u6ce8\u610f\u6570\u636e\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u65e5\u671f\u3001\u6570\u5b57\u548c\u6587\u672c\u7b49\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u53ef\u80fd\u9700\u8981\u7279\u6b8a\u5904\u7406\u3002\u5728\u4f7f\u7528<code>xlrd<\/code>\u6216<code>pandas<\/code>\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u76f8\u5e94\u7684\u683c\u5f0f\u8f6c\u6362\uff0c\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>pandas<\/code>\u65f6\u53ef\u4ee5\u901a\u8fc7<code>pd.to_datetime()<\/code>\u65b9\u6cd5\u5c06\u65e5\u671f\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u65e5\u671f\u683c\u5f0f\uff0c\u786e\u4fdd\u6570\u636e\u5206\u6790\u4e2d\u7684\u65f6\u95f4\u5904\u7406\u662f\u6b63\u786e\u7684\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6xls\u6587\u4ef6\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f\u7528xlrd\u5e93\u3001pandas\u5e93\u3001openpyxl\u5e93\u7b49\u3002\u5176\u4e2d\uff0cpandas\u5e93 [&hellip;]","protected":false},"author":3,"featured_media":945574,"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\/945566"}],"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=945566"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945566\/revisions"}],"predecessor-version":[{"id":945577,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945566\/revisions\/945577"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/945574"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=945566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=945566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=945566"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}