{"id":1128221,"date":"2025-01-08T20:18:12","date_gmt":"2025-01-08T12:18:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1128221.html"},"modified":"2025-01-08T20:18:14","modified_gmt":"2025-01-08T12:18:14","slug":"python%e5%a6%82%e4%bd%95%e5%86%99%e5%be%aa%e7%8e%af%e8%af%bb%e5%8f%96excel%e4%b8%80%e5%88%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1128221.html","title":{"rendered":"python\u5982\u4f55\u5199\u5faa\u73af\u8bfb\u53d6excel\u4e00\u5217"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25095004\/46aba94c-5bb7-4fb5-a10c-c317cfeb7c9b.webp\" alt=\"python\u5982\u4f55\u5199\u5faa\u73af\u8bfb\u53d6excel\u4e00\u5217\" \/><\/p>\n<p><p> <strong>Python\u5982\u4f55\u5199\u5faa\u73af\u8bfb\u53d6Excel\u4e00\u5217<\/strong><\/p>\n<\/p>\n<p><p><strong>\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528<\/strong><code>pandas<\/code><strong>\u3001<\/strong><code>openpyxl<\/code><strong>\u3001<\/strong><code>xlrd<\/code><strong><\/strong>\u7b49\u5e93\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u5b9e\u73b0\u5faa\u73af\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\u3002<strong> <\/strong>\u5176\u4e2d\uff0c\u63a8\u8350\u4f7f\u7528<strong><code>pandas<\/code><\/strong>\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u3001\u6613\u4e8e\u4f7f\u7528\uff0c\u5e76\u4e14\u5177\u6709\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528<strong><code>pandas<\/code><\/strong>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\uff0c\u5e76\u5bf9\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u8fdb\u884c\u89e3\u7b54\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6<\/h2>\n<\/p>\n<p><h3>1\u3001\u5b89\u88c5pandas\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86<code>pandas<\/code>\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\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><h3>2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>pandas<\/code>\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u901a\u8fc7<code>pandas.read_excel()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\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;your_excel_file.xlsx&#39;)<\/p>\n<h2><strong>\u5faa\u73af\u8bfb\u53d6\u67d0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p>for value in df[&#39;your_column_name&#39;]:<\/p>\n<p>    print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>your_excel_file.xlsx<\/code>\u662fExcel\u6587\u4ef6\u7684\u8def\u5f84\uff0c<code>your_column_name<\/code>\u662f\u4f60\u60f3\u8bfb\u53d6\u7684\u5217\u7684\u540d\u79f0\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p><strong>\u4f7f\u7528<code>pandas<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u4f18\u70b9\u5728\u4e8e\u5176\u7b80\u6d01\u6027\u548c\u9ad8\u6548\u6027\u3002<\/strong><code>pandas<\/code>\u4e0d\u4ec5\u80fd\u591f\u8f7b\u677e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u5bf9\u8bfb\u53d6\u7684\u6570\u636e\u8fdb\u884c\u8fc7\u6ee4\u3001\u6392\u5e8f\u3001\u5206\u7ec4\u7b49\u64cd\u4f5c\u3002<strong>\u6b64\u5916\uff0c<code>pandas<\/code>\u8fd8\u652f\u6301\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u4f7f\u5f97\u5904\u7406\u590d\u6742\u7684Excel\u6587\u4ef6\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002<\/strong><\/p>\n<\/p>\n<p><h2>\u4e8c\u3001\u4f7f\u7528openpyxl\u8bfb\u53d6Excel\u6587\u4ef6<\/h2>\n<\/p>\n<p><h3>1\u3001\u5b89\u88c5openpyxl\u5e93<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u9700\u8981\u66f4\u7ec6\u7c92\u5ea6\u5730\u63a7\u5236Excel\u6587\u4ef6\u7684\u8bfb\u53d6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>openpyxl<\/code>\u5e93\u3002\u9996\u5148\uff0c\u5b89\u88c5<code>openpyxl<\/code>\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4f7f\u7528<code>openpyxl<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u67d0\u4e00\u5217\u6570\u636e\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>wb = load_workbook(&#39;your_excel_file.xlsx&#39;)<\/p>\n<p>sheet = wb[&#39;Sheet1&#39;]<\/p>\n<h2><strong>\u83b7\u53d6\u67d0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p>column_data = []<\/p>\n<p>for row in sheet.iter_rows(min_col=1, max_col=1, values_only=True):<\/p>\n<p>    column_data.append(row[0])<\/p>\n<p>for value in column_data:<\/p>\n<p>    print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>Sheet1<\/code>\u662fExcel\u6587\u4ef6\u4e2d\u7684\u5de5\u4f5c\u8868\u540d\u79f0\uff0c<code>min_col=1, max_col=1<\/code>\u6307\u5b9a\u4e86\u8981\u8bfb\u53d6\u7684\u5217\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p><strong>\u4f7f\u7528<code>openpyxl<\/code>\u7684\u4f18\u70b9\u5728\u4e8e\u5176\u7075\u6d3b\u6027\u3002<\/strong><code>openpyxl<\/code>\u5141\u8bb8\u4f60\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u66f4\u7ec6\u7c92\u5ea6\u7684\u64cd\u4f5c\uff0c\u4f8b\u5982\u8bfb\u53d6\u7279\u5b9a\u7684\u5355\u5143\u683c\u3001\u4fee\u6539\u5355\u5143\u683c\u5185\u5bb9\u3001\u6dfb\u52a0\u516c\u5f0f\u7b49\u3002<strong>\u6b64\u5916\uff0c<code>openpyxl<\/code>\u8fd8\u652f\u6301Excel\u6587\u4ef6\u7684\u521b\u5efa\u548c\u4fdd\u5b58\uff0c\u4f7f\u5f97\u4f60\u53ef\u4ee5\u5728\u5904\u7406\u5b8c\u6570\u636e\u540e\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/strong><\/p>\n<\/p>\n<p><h2>\u4e09\u3001\u4f7f\u7528xlrd\u8bfb\u53d6Excel\u6587\u4ef6<\/h2>\n<\/p>\n<p><h3>1\u3001\u5b89\u88c5xlrd\u5e93<\/h3>\n<\/p>\n<p><p><code>xlrd<\/code>\u5e93\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u8bfb\u53d6\u65e7\u7248Excel\u6587\u4ef6\uff08<code>.xls<\/code>\u683c\u5f0f\uff09\u3002\u9996\u5148\uff0c\u5b89\u88c5<code>xlrd<\/code>\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install xlrd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4f7f\u7528<code>xlrd<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u67d0\u4e00\u5217\u6570\u636e\u7684\u793a\u4f8b\u4ee3\u7801\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;your_excel_file.xls&#39;)<\/p>\n<p>sheet = workbook.sheet_by_name(&#39;Sheet1&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u67d0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p>column_data = sheet.col_values(0)  # \u8bfb\u53d6\u7b2c\u4e00\u5217\u7684\u6570\u636e<\/p>\n<p>for value in column_data:<\/p>\n<p>    print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>Sheet1<\/code>\u662fExcel\u6587\u4ef6\u4e2d\u7684\u5de5\u4f5c\u8868\u540d\u79f0\uff0c<code>col_values(0)<\/code>\u8868\u793a\u8bfb\u53d6\u7b2c\u4e00\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p><strong><code>xlrd<\/code>\u7684\u4f18\u70b9\u5728\u4e8e\u5176\u5bf9\u65e7\u7248Excel\u6587\u4ef6\u7684\u826f\u597d\u652f\u6301\u3002<\/strong>\u5982\u679c\u4f60\u9700\u8981\u5904\u7406\u7684\u662f\u65e7\u7248\u7684<code>.xls<\/code>\u6587\u4ef6\uff0c\u90a3\u4e48<code>xlrd<\/code>\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<strong>\u4e0d\u8fc7\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>xlrd<\/code>\u4e0d\u518d\u652f\u6301\u8bfb\u53d6\u65b0\u7248\u7684<code>.xlsx<\/code>\u6587\u4ef6\uff0c\u56e0\u6b64\u5728\u5904\u7406\u65b0\u7248Excel\u6587\u4ef6\u65f6\uff0c\u63a8\u8350\u4f7f\u7528<code>pandas<\/code>\u6216<code>openpyxl<\/code>\u3002<\/strong><\/p>\n<\/p>\n<p><h2>\u56db\u3001\u7efc\u5408\u5e94\u7528\u793a\u4f8b<\/h2>\n<\/p>\n<p><h3>1\u3001\u7ed3\u5408\u4f7f\u7528pandas\u548copenpyxl<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6709\u65f6\u9700\u8981\u7ed3\u5408\u4f7f\u7528<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u6765\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7ed3\u5408\u4f7f\u7528<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u8bfb\u53d6\u548c\u5904\u7406Excel\u6587\u4ef6\u4e2d\u67d0\u4e00\u5217\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>from openpyxl import load_workbook<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;your_excel_file.xlsx&#39;, sheet_name=&#39;Sheet1&#39;)<\/p>\n<h2><strong>\u5904\u7406\u6570\u636e<\/strong><\/h2>\n<p>filtered_data = df[df[&#39;your_column_name&#39;] &gt; 10]  # \u8fc7\u6ee4\u51fa\u5927\u4e8e10\u7684\u6570\u636e<\/p>\n<h2><strong>\u4fdd\u5b58\u5904\u7406\u540e\u7684\u6570\u636e\u5230\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n<p>with pd.ExcelWriter(&#39;processed_data.xlsx&#39;, engine=&#39;openpyxl&#39;) as writer:<\/p>\n<p>    filtered_data.to_excel(writer, sheet_name=&#39;FilteredData&#39;, index=False)<\/p>\n<h2><strong>\u4f7f\u7528openpyxl\u8bfb\u53d6\u5904\u7406\u540e\u7684\u6570\u636e<\/strong><\/h2>\n<p>wb = load_workbook(&#39;processed_data.xlsx&#39;)<\/p>\n<p>sheet = wb[&#39;FilteredData&#39;]<\/p>\n<h2><strong>\u83b7\u53d6\u67d0\u4e00\u5217\u6570\u636e<\/strong><\/h2>\n<p>column_data = []<\/p>\n<p>for row in sheet.iter_rows(min_col=1, max_col=1, values_only=True):<\/p>\n<p>    column_data.append(row[0])<\/p>\n<p>for value in column_data:<\/p>\n<p>    print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p><strong>\u7ed3\u5408\u4f7f\u7528<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u53ef\u4ee5\u5b9e\u73b0\u66f4\u52a0\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u64cd\u4f5c\u3002<\/strong>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u9996\u5148\u4f7f\u7528<code>pandas<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u8fdb\u884c\u6570\u636e\u8fc7\u6ee4\uff0c\u7136\u540e\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>openpyxl<\/code>\u8bfb\u53d6\u5904\u7406\u540e\u7684\u6570\u636e\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u64cd\u4f5c\u3002<strong>\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u4ee5\u5145\u5206\u5229\u7528<code>pandas<\/code>\u7684\u9ad8\u6548\u6570\u636e\u5904\u7406\u80fd\u529b\uff0c\u8fd8\u53ef\u4ee5\u5229\u7528<code>openpyxl<\/code>\u7684\u7075\u6d3b\u6027\u8fdb\u884c\u7ec6\u7c92\u5ea6\u7684\u64cd\u4f5c\u3002<\/strong><\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u5e38\u89c1\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6cd5<\/h2>\n<\/p>\n<p><h3>1\u3001\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/h3>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u7684\u95ee\u9898\u3002\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684<code>fillna()<\/code>\u51fd\u6570\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u586b\u5145\u7f3a\u5931\u503c\u4e3a0<\/p>\n<p>df[&#39;your_column_name&#39;].fillna(0, inplace=True)<\/p>\n<h2><strong>\u5220\u9664\u542b\u6709\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n<p>df.dropna(subset=[&#39;your_column_name&#39;], inplace=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u5982\u4f55\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\uff1f<\/h3>\n<\/p>\n<p><p>\u5982\u679cExcel\u6587\u4ef6\u4e2d\u6709\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684<code>sheet_name<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0\uff0c\u6216\u8005\u4f7f\u7528\u5217\u8868\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868<\/p>\n<p>df_dict = pd.read_excel(&#39;your_excel_file.xlsx&#39;, sheet_name=None)<\/p>\n<h2><strong>\u8bfb\u53d6\u591a\u4e2a\u6307\u5b9a\u7684\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>df_list = pd.read_excel(&#39;your_excel_file.xlsx&#39;, sheet_name=[&#39;Sheet1&#39;, &#39;Sheet2&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u5982\u4f55\u5904\u7406\u5927\u6587\u4ef6\uff1f<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>chunksize<\/code>\u53c2\u6570\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u4ee5\u907f\u514d\u5185\u5b58\u4e0d\u8db3\u7684\u95ee\u9898\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5206\u5757\u8bfb\u53d6\u6570\u636e<\/p>\n<p>for chunk in pd.read_excel(&#39;your_excel_file.xlsx&#39;, sheet_name=&#39;Sheet1&#39;, chunksize=1000):<\/p>\n<p>    for value in chunk[&#39;your_column_name&#39;]:<\/p>\n<p>        print(value)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>4\u3001\u5982\u4f55\u63d0\u9ad8\u8bfb\u53d6\u901f\u5ea6\uff1f<\/h3>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6\u5927\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>usecols<\/code>\u53c2\u6570\u6307\u5b9a\u9700\u8981\u8bfb\u53d6\u7684\u5217\uff0c\u4ee5\u63d0\u9ad8\u8bfb\u53d6\u901f\u5ea6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u53ea\u8bfb\u53d6\u6307\u5b9a\u7684\u5217<\/p>\n<p>df = pd.read_excel(&#39;your_excel_file.xlsx&#39;, usecols=[&#39;your_column_name&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u516d\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p><strong>\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528<code>pandas<\/code>\u3001<code>openpyxl<\/code>\u548c<code>xlrd<\/code>\u7b49\u5e93\u3002<\/strong>\u5176\u4e2d\uff0c<code>pandas<\/code>\u56e0\u5176\u7b80\u6d01\u6027\u548c\u9ad8\u6548\u6027\u800c\u88ab\u5e7f\u6cdb\u63a8\u8350\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u6570\u636e\u5904\u7406\u573a\u666f\u3002<strong>\u800c<code>openpyxl<\/code>\u5219\u63d0\u4f9b\u4e86\u66f4\u7ec6\u7c92\u5ea6\u7684\u64cd\u4f5c\uff0c\u9002\u7528\u4e8e\u9700\u8981\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u590d\u6742\u64cd\u4f5c\u7684\u573a\u666f\u3002<code>xlrd<\/code>\u5219\u9002\u7528\u4e8e\u5904\u7406\u65e7\u7248Excel\u6587\u4ef6\u3002<\/strong>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u5e76\u7ed3\u5408\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u5e93\u3002\u4f7f\u7528<code>pandas.read_excel()<\/code>\u51fd\u6570\u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u5217\u540d\u6216\u5217\u7d22\u5f15\u6765\u83b7\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u4f7f\u7528\u5faa\u73af\u5904\u7406Excel\u5217\u6570\u636e\u7684\u6700\u4f73\u65b9\u6cd5\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6Excel\u7684\u7279\u5b9a\u5217\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>for<\/code>\u5faa\u73af\u904d\u5386\u6bcf\u4e2a\u5355\u5143\u683c\u7684\u503c\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\uff0c\u4f8b\u5982\u6253\u5370\u8f93\u51fa\u3001\u8fc7\u6ee4\u6216\u8ba1\u7b97\u3002\u786e\u4fdd\u5728\u5faa\u73af\u4e2d\u6dfb\u52a0\u9002\u5f53\u7684\u6761\u4ef6\uff0c\u4ee5\u4fbf\u6839\u636e\u9700\u8981\u5904\u7406\u6570\u636e\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5217\u6570\u636e\uff1f<\/strong><br \/>\u9664\u4e86<code>pandas<\/code>\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528<code>openpyxl<\/code>\u6216<code>xlrd<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002<code>openpyxl<\/code>\u9002\u5408\u5904\u7406<code>.xlsx<\/code>\u683c\u5f0f\u7684\u6587\u4ef6\uff0c\u800c<code>xlrd<\/code>\u5219\u4e3b\u8981\u7528\u4e8e<code>.xls<\/code>\u683c\u5f0f\u3002\u5728\u4f7f\u7528\u8fd9\u4e9b\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u548c\u5217\u7684\u7d22\u5f15\u6765\u83b7\u53d6\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u8bfb\u53d6\u5230\u7684Excel\u5217\u6570\u636e\u4ee5\u8fdb\u884c\u6570\u636e\u5206\u6790\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6\u5230Excel\u5217\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5229\u7528<code>pandas<\/code>\u63d0\u4f9b\u7684\u5404\u79cd\u529f\u80fd\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8ba1\u7b97\u5e73\u5747\u503c\u3001\u6807\u51c6\u5dee\u6216\u7ed8\u5236\u56fe\u8868\u7b49\u3002\u901a\u8fc7\u4f7f\u7528<code>pandas<\/code>\u7684<code>DataFrame<\/code>\u5bf9\u8c61\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u7b5b\u9009\u3001\u5206\u7ec4\u548c\u805a\u5408\u64cd\u4f5c\uff0c\u5e2e\u52a9\u6df1\u5165\u5206\u6790\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u5199\u5faa\u73af\u8bfb\u53d6Excel\u4e00\u5217 \u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u5217\u6570\u636e\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec [&hellip;]","protected":false},"author":3,"featured_media":1128226,"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\/1128221"}],"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=1128221"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1128221\/revisions"}],"predecessor-version":[{"id":1128227,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1128221\/revisions\/1128227"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1128226"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1128221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1128221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1128221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}