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\u6837\u5f0f\u56fa\u5b9a\uff0c\u6539\u4e00\u6b21\u52a8\u5168\u8eab<\/td>\n\u4e3b\u9898\u52a8\u6001\u5207\u6362\uff0c\u54cd\u5e94\u5f0f\u9002\u914d<\/td>\n<\/tr>\n
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\n
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\u63a8\u8350\u573a\u666f<\/span>\u5feb\u901f\u9a8c\u8bc1\u4e1a\u52a1\u5047\u8bbe<\/h5>\n
    \n
  • \u4f7f\u7528Excel\u67f1\u5f62\u56fe<\/strong>\u5bf9\u6bd4\u6708\u5ea6\u6307\u6807\uff0c\u76f4\u89c2\u5448\u73b0\u9ad8\u4f4e\u5dee\u5f02<\/li>\n
  • \u5229\u7528Excel\u7ebf\u6027\u56fe<\/strong>\u8ffd\u8e2a\u7528\u6237\u7559\u5b58\u66f2\u7ebf\uff0c\u6355\u6349\u62d0\u70b9\u4fe1\u53f7<\/li>\n
  • \u501f\u52a9Excel\u997c\u56fe<\/strong>\u62c6\u5206\u6e20\u9053\u5360\u6bd4\uff0c\u8f85\u52a9\u8d44\u6e90\u503e\u659c\u51b3\u7b56<\/li>\n<\/ul><\/div>\n<\/div>\n

    \u5f53\u7136\uff0c\u5982\u679c\u4f60\u66f4\u504f\u7231\u547d\u4ee4\u884c\u6216\u8005\u60f3\u5d4c\u5165\u5230\u81ea\u5df1\u7684\u5fae\u670d\u52a1\u91cc\uff0cPython\u751f\u6001\u5b8c\u5168\u80fd\u8986\u76d6\u8fd9\u4e9b\u9700\u6c42\u3002\u4e0b\u9762\u8fd9\u6bb5\u6781\u7b80\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u7528 pandas<\/code> \u914d\u5408\u7ed8\u56fe\u5e93\u5feb\u901f\u5b8c\u6210 CSV\u8f6c\u56fe\u8868<\/strong> \u7684\u6838\u5fc3\u94fe\u8def\uff1a<\/p>\n

    import pandas as pd\nimport matplotlib.pyplot as plt\n\ndf = pd.read_csv('data.csv').dropna()\nplt.rcParams['font.sans-serif'] = ['SimHei']\nplt.figure(figsize=(10, 5))\nplt.plot(df['\u65e5\u671f'], df['\u8bbf\u95ee\u91cf'], marker='o', linewidth=2)\nplt.title('\u65e5\u5747\u8bbf\u95ee\u91cf\u8d8b\u52bf')\nplt.xlabel('\u65f6\u95f4'); plt.ylabel('\u8bbf\u95ee\u6b21\u6570')\nplt.grid(True, linestyle='--', alpha=0.6)\nplt.savefig('chart_output.png', dpi=300, bbox_inches='tight')\nplt.show()<\/code><\/pre>\n
    \u811a\u672c\u8dd1\u901a\u540e\uff0c\u5269\u4e0b\u7684\u5c31\u662f\u628a\u5b83\u5305\u88c5\u6210\u5b9a\u65f6\u4efb\u52a1\u6216\u8005API\u63a5\u53e3\u3002\u5bf9\u4e8e\u9700\u8981\u9ad8\u81ea\u7531\u5ea6\u63a7\u5236\u7684\u4f01\u4e1a\u7ea7\u540e\u53f0\uff0c\u8fd9\u79cd\u786c\u7f16\u7801\u65b9\u5f0f\u53cd\u800c\u66f4\u7a33\u3002\u4e0d\u8fc7\u8bdd\u8bf4\u56de\u6765\uff0c\u5982\u679c\u53ea\u662f\u5076\u5c14\u9700\u8981\u5bfc\u51fa\u4e00\u4efd\u5728\u7ebf\u6570\u636e\u56fe\u8868<\/strong>\u5206\u4eab\u7ed9\u56e2\u961f\uff0c\u7eaf\u624b\u5199\u7ef4\u62a4\u7684\u6210\u672c\u786e\u5b9e\u4e0d\u5212\u7b97\u3002\u5b9e\u9645\u843d\u5730\u65f6\uff0c\u6211\u5efa\u8bae\u628a\u4e24\u7c7b\u65b9\u6848\u7ed3\u5408\u8d77\u6765\uff1a\u9ad8\u9891\u3001\u6807\u51c6\u5316\u7684\u62a5\u8868\u8d70\u5de5\u5177\u94fe\uff0c\u4f4e\u9891\u3001\u5f3a\u5b9a\u5236\u7684\u770b\u677f\u8d70\u4ee3\u7801\u5c42\u3002\u8fd9\u6837\u65e2\u80fd\u4fdd\u8bc1\u4ea4\u4ed8\u901f\u5ea6\uff0c\u53c8\u7559\u51fa\u4e86\u67b6\u6784\u6269\u5c55\u7684\u7a7a\u95f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
    \u8fd8\u5728\u624b\u52a8\u8c03\u6574\u62a5\u8868\u683c\u5f0f\uff1f\u672c\u6587\u5206\u4eab\u9ad8\u6548\u7684\u6570\u636e\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41\uff0c\u7ed3\u5408Python\u811a\u672c\u4e0e\u5728\u7ebf\u56fe\u8868\u751f\u6210\u5668\uff0c\u5e26\u4f60\u5feb\u901f\u5b9e\u73b0Excel\u8f6c\u56fe\u8868\u3001CSV\u8f6c\u56fe\u8868\uff0c\u4e00\u952e\u751f\u6210\u4e13\u4e1a\u7684Excel\u67f1\u5f62\u56fe\u3001\u7ebf\u6027\u56fe\u4e0e\u997c\u56fe\uff0c\u5927\u5e45\u63d0\u5347\u5206\u6790\u6548\u7387\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[395,368,394],"class_list":["post-1207","post","type-post","status-publish","format-standard","hentry","category-best-articles","tag-395","tag-368","tag-394"],"yoast_head":"\n\u544a\u522b\u7e41\u7410\u6392\u7248\uff01\u8f7b\u677e\u641e\u5b9aExcel\u8f6c\u56fe\u8868\u4e0e\u5728\u7ebf\u6570\u636e\u56fe\u8868 - 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