{"id":1041713,"date":"2024-12-31T12:51:28","date_gmt":"2024-12-31T04:51:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1041713.html"},"modified":"2024-12-31T12:51:30","modified_gmt":"2024-12-31T04:51:30","slug":"python%e5%a6%82%e4%bd%95%e5%be%aa%e7%8e%af%e8%a1%a8%e6%a0%bc%e7%9a%84%e5%8d%95%e5%85%83%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1041713.html","title":{"rendered":"python\u5982\u4f55\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/5b05da2d-339d-416d-befa-2cbbaf72468a.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\" \/><\/p>\n<p><p> \u5f00\u5934\u6bb5\u843d\uff1a<\/p>\n<p><strong>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u3001xlrd\u5e93\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c<\/strong>\u3002\u5176\u4e2d\uff0cPandas\u5e93\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u901a\u8fc7\u8bfb\u53d6Excel\u6587\u4ef6\u5230DataFrame\u5bf9\u8c61\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u904d\u5386\u8868\u683c\u7684\u6bcf\u4e2a\u5355\u5143\u683c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u6765\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001Pandas\u5e93\u7684\u5b89\u88c5\u548c\u57fa\u672c\u4f7f\u7528<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u548c\u5de5\u7a0b\u9886\u57df\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Pandas\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\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>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165Pandas\u5e93\u5e76\u8bfb\u53d6Excel\u6587\u4ef6\u6765\u5f00\u59cb\u6211\u4eec\u7684\u5de5\u4f5c\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>df = pd.read_excel(&#39;example.xlsx&#39;)<\/p>\n<h2><strong>\u67e5\u770bDataFrame\u524d\u4e94\u884c<\/strong><\/h2>\n<p>print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u5faa\u73af\u8868\u683c\u7684\u884c<\/p>\n<\/p>\n<p><p>\u5728Pandas\u4e2d\uff0cDataFrame\u5bf9\u8c61\u63d0\u4f9b\u4e86\u591a\u79cd\u904d\u5386\u884c\u7684\u65b9\u6cd5\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528iterrows()\u51fd\u6570\uff0c\u5b83\u8fd4\u56de\u884c\u7d22\u5f15\u548c\u884c\u6570\u636e\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">for index, row in df.iterrows():<\/p>\n<p>    print(f&#39;Index: {index}&#39;)<\/p>\n<p>    print(f&#39;Row data: {row}&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u8ba9\u6211\u4eec\u65b9\u4fbf\u5730\u8bbf\u95ee\u6bcf\u4e00\u884c\u7684\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u5faa\u73af\u8868\u683c\u7684\u5217<\/p>\n<\/p>\n<p><p>\u540c\u6837\u5730\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528DataFrame\u5bf9\u8c61\u7684iteritems()\u51fd\u6570\u904d\u5386\u5217\u3002iteritems()\u51fd\u6570\u8fd4\u56de\u5217\u540d\u548c\u5217\u6570\u636e\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">for column, data in df.iteritems():<\/p>\n<p>    print(f&#39;Column: {column}&#39;)<\/p>\n<p>    print(f&#39;Data: {data}&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u5bf9\u6bcf\u4e00\u5217\u8fdb\u884c\u64cd\u4f5c\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u5faa\u73af\u6bcf\u4e2a\u5355\u5143\u683c<\/p>\n<\/p>\n<p><p>\u5982\u679c\u6211\u4eec\u9700\u8981\u9010\u4e2a\u5355\u5143\u683c\u8fdb\u884c\u5904\u7406\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame\u5bf9\u8c61\u7684itertuples()\u51fd\u6570\uff0c\u5b83\u8fd4\u56de\u6bcf\u4e00\u884c\u7684\u6570\u636e\u4f5c\u4e3a\u4e00\u4e2a\u547d\u540d\u5143\u7ec4\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">for row in df.itertuples(index=True, name=&#39;Pandas&#39;):<\/p>\n<p>    print(row)<\/p>\n<p>    for value in row:<\/p>\n<p>        print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u8bbf\u95ee\u6bcf\u4e00\u884c\u7684\u6bcf\u4e2a\u5355\u5143\u683c\uff0c\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u4f7f\u7528Openpyxl\u5e93\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c<\/p>\n<\/p>\n<p><p>\u9664\u4e86Pandas\u5e93\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528Openpyxl\u5e93\u6765\u5904\u7406Excel\u8868\u683c\u3002Openpyxl\u5e93\u9002\u7528\u4e8e\u5904\u7406Excel 2010\u53ca\u4ee5\u4e0a\u7248\u672c\u7684.xlsx\u6587\u4ef6\u3002\u9996\u5148\uff0c\u6211\u4eec\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>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165Openpyxl\u5e93\u5e76\u8bfb\u53d6Excel\u6587\u4ef6\u6765\u5f00\u59cb\u6211\u4eec\u7684\u5de5\u4f5c\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import openpyxl<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>wb = openpyxl.load_workbook(&#39;example.xlsx&#39;)<\/p>\n<p>sheet = wb.active<\/p>\n<h2><strong>\u904d\u5386\u8868\u683c\u7684\u5355\u5143\u683c<\/strong><\/h2>\n<p>for row in sheet.iter_rows():<\/p>\n<p>    for cell in row:<\/p>\n<p>        print(cell.value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u9010\u4e2a\u5355\u5143\u683c\u8fdb\u884c\u5904\u7406\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u4f7f\u7528xlrd\u5e93\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c<\/p>\n<\/p>\n<p><p>\u5bf9\u4e8e\u5904\u7406Excel 2003\u53ca\u4ee5\u4e0b\u7248\u672c\u7684.xls\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5xlrd\u5e93\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\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165xlrd\u5e93\u5e76\u8bfb\u53d6Excel\u6587\u4ef6\u6765\u5f00\u59cb\u6211\u4eec\u7684\u5de5\u4f5c\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xlrd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = xlrd.open_workbook(&#39;example.xls&#39;)<\/p>\n<p>sheet = workbook.sheet_by_index(0)<\/p>\n<h2><strong>\u904d\u5386\u8868\u683c\u7684\u5355\u5143\u683c<\/strong><\/h2>\n<p>for row_idx in range(sheet.nrows):<\/p>\n<p>    for col_idx in range(sheet.ncols):<\/p>\n<p>        cell_value = sheet.cell(row_idx, col_idx).value<\/p>\n<p>        print(cell_value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u9010\u4e2a\u5355\u5143\u683c\u8fdb\u884c\u5904\u7406\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\u3002<strong>Pandas\u5e93\u3001Openpyxl\u5e93\u3001xlrd\u5e93<\/strong>\u662f\u6700\u5e38\u7528\u7684\u4e09\u79cd\u65b9\u6cd5\u3002\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548cExcel\u6587\u4ef6\u7684\u7248\u672c\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u884c\u3001\u5217\u6216\u5355\u5143\u683c\u6765\u5b9e\u73b0\u5bf9\u8868\u683c\u6570\u636e\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u5bf9Pandas\u5e93\u3001Openpyxl\u5e93\u548cxlrd\u5e93\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u6700\u5408\u9002\u7684\u5e93\u6765\u5904\u7406Excel\u6587\u4ef6\uff0c\u4ece\u800c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u6570\u636e\u5904\u7406\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<p><p>\u6b64\u5916\uff0c\u4e3a\u4e86\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u7ed3\u5408\u5176\u4ed6Python\u5e93\uff08\u5982NumPy\u3001SciPy\u7b49\uff09\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>\u603b\u4e4b\uff0c<strong>\u5728Python\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u3001xlrd\u5e93\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\u662f\u975e\u5e38\u5e38\u7528\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5<\/strong>\u3002\u901a\u8fc7\u7075\u6d3b\u8fd0\u7528\u8fd9\u4e9b\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u5404\u79cdExcel\u6587\u4ef6\uff0c\u5e76\u5bf9\u6570\u636e\u8fdb\u884c\u5404\u79cd\u590d\u6742\u7684\u64cd\u4f5c\u548c\u5206\u6790\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4ece\u800c\u5728\u5b9e\u9645\u5de5\u4f5c\u4e2d\u6e38\u5203\u6709\u4f59\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u8868\u683c\u7684\u5355\u5143\u683c\u5185\u5bb9\uff1f<\/strong><br \/>\u4f7f\u7528Python\u8bfb\u53d6Excel\u8868\u683c\u7684\u5355\u5143\u683c\u5185\u5bb9\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7<code>pandas<\/code>\u5e93\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u5e93\u3002\u5229\u7528<code>pandas.read_excel()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7DataFrame\u5bf9\u8c61\u8bbf\u95ee\u5355\u5143\u683c\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df.iloc[row, column]<\/code>\u6765\u83b7\u53d6\u7279\u5b9a\u5355\u5143\u683c\u7684\u503c\u3002<\/p>\n<p><strong>\u5728\u5faa\u73af\u4e2d\u5982\u4f55\u5904\u7406Excel\u8868\u683c\u4e2d\u7684\u591a\u4e2a\u5355\u5143\u683c\uff1f<\/strong><br \/>\u5728\u5904\u7406Excel\u8868\u683c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>for<\/code>\u5faa\u73af\u904d\u5386DataFrame\u7684\u884c\u6216\u5217\u3002\u5229\u7528<code>iterrows()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9010\u884c\u8bbf\u95ee\u8868\u683c\u7684\u6bcf\u4e2a\u5355\u5143\u683c\u5e76\u8fdb\u884c\u64cd\u4f5c\u3002\u6bd4\u5982\uff0c\u53ef\u4ee5\u5728\u5faa\u73af\u4e2d\u6839\u636e\u6761\u4ef6\u4fee\u6539\u5355\u5143\u683c\u7684\u503c\u6216\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728\u5faa\u73af\u4e2d\u5bf9\u5355\u5143\u683c\u8fdb\u884c\u6761\u4ef6\u7b5b\u9009\u548c\u64cd\u4f5c\uff1f<\/strong><br \/>\u5728\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\u65f6\uff0c\u53ef\u4ee5\u7ed3\u5408\u6761\u4ef6\u8bed\u53e5\u8fdb\u884c\u7b5b\u9009\u3002\u4f8b\u5982\uff0c\u5728\u904d\u5386DataFrame\u7684\u540c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>if<\/code>\u8bed\u53e5\u5224\u65ad\u67d0\u4e2a\u5355\u5143\u683c\u7684\u503c\u662f\u5426\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\uff0c\u5e76\u636e\u6b64\u8fdb\u884c\u76f8\u5e94\u64cd\u4f5c\uff0c\u5982\u7d2f\u52a0\u3001\u66ff\u6362\u6216\u8bb0\u5f55\u7279\u5b9a\u4fe1\u606f\u3002\u8fd9\u79cd\u65b9\u5f0f\u4f7f\u5f97\u6570\u636e\u5904\u7406\u66f4\u52a0\u7075\u6d3b\u548c\u9ad8\u6548\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u3001xlrd\u5e93\u5faa\u73af\u8868\u683c\u7684\u5355\u5143\u683c\u3002\u5176\u4e2d\uff0cP 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