{"id":1030135,"date":"2024-12-31T11:14:30","date_gmt":"2024-12-31T03:14:30","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1030135.html"},"modified":"2024-12-31T11:14:34","modified_gmt":"2024-12-31T03:14:34","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96sheet%e7%94%bb%e6%9f%b1%e7%8a%b6%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1030135.html","title":{"rendered":"python\u5982\u4f55\u8bfb\u53d6sheet\u753b\u67f1\u72b6\u56fe"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/a5d35c8b-86fb-47f2-953c-f675e0dc3cd9.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u8bfb\u53d6sheet\u753b\u67f1\u72b6\u56fe\" \/><\/p>\n<p><p> <strong>Python\u8bfb\u53d6sheet\u753b\u67f1\u72b6\u56fe\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5\u6240\u9700\u5e93\u3001\u8bfb\u53d6Excel\u6570\u636e\u3001\u63d0\u53d6\u6240\u9700\u6570\u636e\u548c\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<\/strong>\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u7684\u5e93\u5305\u62ec<code>pandas<\/code>\u548c<code>matplotlib<\/code>\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u8bf4\u660e\u5176\u4e2d\u4e00\u4e2a\u6b65\u9aa4\uff1a<strong>\u63d0\u53d6\u6240\u9700\u6570\u636e\u662f\u5173\u952e\u6b65\u9aa4\uff0c\u56e0\u4e3a\u6570\u636e\u7684\u51c6\u786e\u6027\u76f4\u63a5\u5f71\u54cd\u5230\u56fe\u8868\u7684\u5c55\u793a\u6548\u679c\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u63d0\u53d6\u6240\u9700\u6570\u636e\u65f6\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u6570\u636e\u683c\u5f0f\u6b63\u786e\u65e0\u8bef\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u5e0c\u671b\u7ed8\u5236\u67f1\u72b6\u56fe\u5c55\u793a\u6bcf\u4e2a\u6708\u7684\u9500\u552e\u6570\u636e\uff0c\u90a3\u4e48\u6211\u4eec\u9700\u8981\u786e\u4fdd\u6bcf\u4e2a\u6708\u7684\u6570\u636e\u90fd\u88ab\u6b63\u786e\u8bfb\u53d6\u548c\u5b58\u50a8\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecdPython\u5982\u4f55\u8bfb\u53d6sheet\u5e76\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u5b89\u88c5\u6240\u9700\u5e93<\/h2>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86<code>pandas<\/code>\u548c<code>matplotlib<\/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-python\">pip install pandas<\/p>\n<p>pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u8bfb\u53d6Excel\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u8bfb\u53d6Excel\u6570\u636e\u662f\u7ed8\u5236\u67f1\u72b6\u56fe\u7684\u7b2c\u4e00\u6b65\u3002\u5728Python\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u4f7f\u7528<code>pandas<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6570\u636e\u3002<code>pandas<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u4fbf\u6377\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6307\u5b9asheet<\/strong><\/h2>\n<p>file_path = &#39;your_excel_file.xlsx&#39;<\/p>\n<p>sheet_name = &#39;Sheet1&#39;<\/p>\n<p>df = pd.read_excel(file_path, sheet_name=sheet_name)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>pd.read_excel<\/code>\u65b9\u6cd5\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u6307\u5b9a\u8981\u8bfb\u53d6\u7684sheet\u540d\u79f0\u3002\u8bfb\u53d6\u7684\u6570\u636e\u5c06\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h2>\u4e09\u3001\u63d0\u53d6\u6240\u9700\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6Excel\u6570\u636e\u540e\uff0c\u6211\u4eec\u9700\u8981\u4eceDataFrame\u4e2d\u63d0\u53d6\u7ed8\u5236\u67f1\u72b6\u56fe\u6240\u9700\u7684\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u6708\u4efd\u548c\u9500\u552e\u6570\u636e\u7684Excel\u8868\u683c\uff0c\u6211\u4eec\u9700\u8981\u63d0\u53d6\u8fd9\u4e24\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u63d0\u53d6\u6708\u4efd\u548c\u9500\u552e\u6570\u636e<\/p>\n<p>months = df[&#39;Month&#39;]<\/p>\n<p>sales = df[&#39;Sales&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4eceDataFrame\u4e2d\u63d0\u53d6\u4e86<code>Month<\/code>\u548c<code>Sales<\/code>\u4e24\u5217\u6570\u636e\uff0c\u5206\u522b\u5b58\u50a8\u5728<code>months<\/code>\u548c<code>sales<\/code>\u53d8\u91cf\u4e2d\u3002<\/p>\n<\/p>\n<p><h2>\u56db\u3001\u7ed8\u5236\u67f1\u72b6\u56fe<\/h2>\n<\/p>\n<p><p>\u63d0\u53d6\u6240\u9700\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>matplotlib<\/code>\u5e93\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<code>matplotlib<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n<p>plt.figure(figsize=(10, 6))<\/p>\n<p>plt.bar(months, sales, color=&#39;blue&#39;)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.title(&#39;Monthly Sales Data&#39;)<\/p>\n<p>plt.xlabel(&#39;Month&#39;)<\/p>\n<p>plt.ylabel(&#39;Sales&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>plt.bar<\/code>\u65b9\u6cd5\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u5e76\u8bbe\u7f6e\u4e86\u56fe\u8868\u7684\u6807\u9898\u548c\u8f74\u6807\u7b7e\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>plt.show<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u4f18\u5316\u56fe\u8868<\/h2>\n<\/p>\n<p><p>\u4e3a\u4e86\u4f7f\u56fe\u8868\u66f4\u5177\u5438\u5f15\u529b\u548c\u6613\u8bfb\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u8fdb\u884c\u4e00\u4e9b\u4f18\u5316\u3002\u4f8b\u5982\uff0c\u6dfb\u52a0\u6570\u636e\u6807\u7b7e\u3001\u8c03\u6574\u989c\u8272\u548c\u6837\u5f0f\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6dfb\u52a0\u6570\u636e\u6807\u7b7e<\/p>\n<p>for i in range(len(months)):<\/p>\n<p>    plt.text(months[i], sales[i] + 5, str(sales[i]), ha=&#39;center&#39;)<\/p>\n<h2><strong>\u8c03\u6574\u989c\u8272\u548c\u6837\u5f0f<\/strong><\/h2>\n<p>plt.bar(months, sales, color=&#39;skyblue&#39;, edgecolor=&#39;black&#39;)<\/p>\n<p>plt.grid(axis=&#39;y&#39;, linestyle=&#39;--&#39;, alpha=0.7)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>plt.text<\/code>\u65b9\u6cd5\u4e3a\u6bcf\u4e2a\u67f1\u72b6\u56fe\u6dfb\u52a0\u6570\u636e\u6807\u7b7e\uff0c\u5e76\u8c03\u6574\u4e86\u67f1\u72b6\u56fe\u7684\u989c\u8272\u548c\u8fb9\u6846\u989c\u8272\u3002\u6211\u4eec\u8fd8\u4f7f\u7528<code>plt.grid<\/code>\u65b9\u6cd5\u4e3ay\u8f74\u6dfb\u52a0\u7f51\u683c\u7ebf\uff0c\u4f7f\u56fe\u8868\u66f4\u6613\u4e8e\u9605\u8bfb\u3002<\/p>\n<\/p>\n<p><h2>\u516d\u3001\u4fdd\u5b58\u56fe\u8868<\/h2>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u5e0c\u671b\u5c06\u7ed8\u5236\u7684\u56fe\u8868\u4fdd\u5b58\u4e3a\u56fe\u7247\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.savefig<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u56fe\u8868<\/p>\n<p>plt.savefig(&#39;monthly_sales.png&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>plt.savefig<\/code>\u65b9\u6cd5\u5c06\u56fe\u8868\u4fdd\u5b58\u4e3a<code>monthly_sales.png<\/code>\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h2>\u4e03\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel sheet\u5e76\u7ed8\u5236\u67f1\u72b6\u56fe\u3002\u603b\u7ed3\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u6240\u9700\u5e93\uff1a<code>pandas<\/code>\u548c<code>matplotlib<\/code>\u3002<\/li>\n<li>\u8bfb\u53d6Excel\u6570\u636e\uff1a\u4f7f\u7528<code>pandas<\/code>\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6307\u5b9asheet\u3002<\/li>\n<li>\u63d0\u53d6\u6240\u9700\u6570\u636e\uff1a\u4eceDataFrame\u4e2d\u63d0\u53d6\u7ed8\u56fe\u6240\u9700\u7684\u6570\u636e\u3002<\/li>\n<li>\u7ed8\u5236\u67f1\u72b6\u56fe\uff1a\u4f7f\u7528<code>matplotlib<\/code>\u5e93\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<\/li>\n<li>\u4f18\u5316\u56fe\u8868\uff1a\u6dfb\u52a0\u6570\u636e\u6807\u7b7e\u3001\u8c03\u6574\u989c\u8272\u548c\u6837\u5f0f\u7b49\u3002<\/li>\n<li>\u4fdd\u5b58\u56fe\u8868\uff1a\u5c06\u7ed8\u5236\u7684\u56fe\u8868\u4fdd\u5b58\u4e3a\u56fe\u7247\u6587\u4ef6\u3002<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u4f7f\u7528Python\u8bfb\u53d6Excel\u6570\u636e\u5e76\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u5c55\u793a\u548c\u5206\u6790\u6570\u636e\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5de5\u4f5c\u8868\uff1f<\/strong><br \/>\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528<code>pd.read_excel()<\/code>\u51fd\u6570\u5e76\u6307\u5b9a<code>sheet_name<\/code>\u53c2\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868\ndf = pd.read_excel(&#39;\u6587\u4ef6\u8def\u5f84.xlsx&#39;, sheet_name=&#39;\u5de5\u4f5c\u8868\u540d\u79f0&#39;)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u8f7b\u677e\u83b7\u53d6\u8be5\u5de5\u4f5c\u8868\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u4f7f\u7528Matplotlib\u7ed8\u5236\u67f1\u72b6\u56fe\uff1f<\/strong><br \/>\u4f7f\u7528<code>Matplotlib<\/code>\u5e93\u7ed8\u5236\u67f1\u72b6\u56fe\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5<code>matplotlib<\/code>\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.bar()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u5177\u4f53\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import matplotlib.pyplot as plt\n\n# \u5047\u8bbedf\u662f\u8bfb\u53d6\u7684DataFrame\nx = df[&#39;\u7c7b\u522b&#39;]  # \u67f1\u72b6\u56fe\u7684X\u8f74\ny = df[&#39;\u503c&#39;]    # \u67f1\u72b6\u56fe\u7684Y\u8f74\n\nplt.bar(x, y)\nplt.xlabel(&#39;\u7c7b\u522b&#39;)\nplt.ylabel(&#39;\u503c&#39;)\nplt.title(&#39;\u67f1\u72b6\u56fe\u793a\u4f8b&#39;)\nplt.show()\n<\/code><\/pre>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u7b80\u5355\u7684\u67f1\u72b6\u56fe\uff0c\u6e05\u6670\u5730\u5c55\u793a\u6570\u636e\u3002<\/p>\n<p><strong>\u5982\u4f55\u5bf9\u8bfb\u53d6\u7684\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u4ee5\u9002\u5e94\u67f1\u72b6\u56fe\u7ed8\u5236\uff1f<\/strong><br \/>\u5728\u7ed8\u5236\u67f1\u72b6\u56fe\u4e4b\u524d\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u4e00\u4e9b\u9884\u5904\u7406\uff0c\u6bd4\u5982\u53bb\u9664\u7a7a\u503c\u3001\u5408\u5e76\u7c7b\u522b\u6216\u8ba1\u7b97\u6c47\u603b\u3002\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u7684\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\"># \u53bb\u9664\u7a7a\u503c\ndf = df.dropna()\n\n# \u6309\u7c7b\u522b\u6c47\u603b\ndf_grouped = df.groupby(&#39;\u7c7b\u522b&#39;).sum().reset_index()\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u6837\u7684\u9884\u5904\u7406\uff0c\u53ef\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u6709\u6548\u6027\uff0c\u4ece\u800c\u7ed8\u5236\u51fa\u66f4\u5177\u4ee3\u8868\u6027\u7684\u67f1\u72b6\u56fe\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6sheet\u753b\u67f1\u72b6\u56fe\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a\u5b89\u88c5\u6240\u9700\u5e93\u3001\u8bfb\u53d6Excel\u6570\u636e\u3001\u63d0\u53d6\u6240\u9700\u6570\u636e\u548c\u7ed8 [&hellip;]","protected":false},"author":3,"featured_media":1030145,"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\/1030135"}],"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=1030135"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1030135\/revisions"}],"predecessor-version":[{"id":1030147,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1030135\/revisions\/1030147"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1030145"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1030135"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1030135"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1030135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}