{"id":979536,"date":"2024-12-27T06:47:20","date_gmt":"2024-12-26T22:47:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/979536.html"},"modified":"2024-12-27T06:47:23","modified_gmt":"2024-12-26T22:47:23","slug":"%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8python%e5%86%99%e8%ae%ba%e6%96%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/979536.html","title":{"rendered":"\u5982\u4f55\u5229\u7528python\u5199\u8bba\u6587"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24205326\/b91005fd-0d9b-43f0-ba89-cc8420fa98ba.webp\" alt=\"\u5982\u4f55\u5229\u7528python\u5199\u8bba\u6587\" \/><\/p>\n<p><p> <strong>\u5229\u7528Python\u5199\u8bba\u6587\u7684\u6709\u6548\u65b9\u6cd5\u5305\u62ec\uff1a\u81ea\u52a8\u5316\u6570\u636e\u5206\u6790\u3001\u751f\u6210\u53ef\u89c6\u5316\u56fe\u8868\u3001\u4f7f\u7528LaTeX\u751f\u6210\u9ad8\u8d28\u91cf\u6392\u7248\u3001\u6587\u672c\u5904\u7406\u4e0e\u5206\u6790<\/strong>\u3002\u5176\u4e2d\uff0c<strong>\u81ea\u52a8\u5316\u6570\u636e\u5206\u6790<\/strong>\u662f\u4e00\u4e2a\u5173\u952e\u70b9\uff0c\u56e0\u4e3aPython\u62e5\u6709\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5982Pandas\u548cNumPy\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u8005\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u7edf\u8ba1\u5206\u6790\u548c\u5efa\u6a21\u3002\u901a\u8fc7Python\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\uff0c\u8fd8\u80fd\u786e\u4fdd\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u7684\u51c6\u786e\u6027\u548c\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<hr>\n<p><p>\u4e00\u3001\u6570\u636e\u5206\u6790\u4e0e\u5904\u7406<\/p>\n<\/p>\n<p><p>\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u662f\u5199\u8bba\u6587\u7684\u57fa\u7840\u6b65\u9aa4\uff0c\u7279\u522b\u662f\u5728\u6d89\u53ca\u5230\u5927\u91cf\u6570\u636e\u7684\u7814\u7a76\u4e2d\u3002Python\u7684Pandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u4f7f\u5f97\u6570\u636e\u6e05\u6d17\u3001\u8fc7\u6ee4\u548c\u64cd\u4f5c\u53d8\u5f97\u7b80\u5355\u9ad8\u6548\u3002NumPy\u5219\u63d0\u4f9b\u4e86\u652f\u6301\u5927\u91cf\u6570\u636e\u7684\u9ad8\u6548\u6570\u5b66\u8fd0\u7b97\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>Pandas\u53ef\u4ee5\u5e2e\u52a9\u4f60\u4eceCSV\u3001Excel\u6216\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u8f7b\u677e\u8fdb\u884c\u6570\u636e\u7684\u6e05\u6d17\u548c\u683c\u5f0f\u5316\u3002\u4f8b\u5982\uff0c\u901a\u8fc7Pandas\uff0c\u4f60\u53ef\u4ee5\u5220\u9664\u7f3a\u5931\u503c\u3001\u5904\u7406\u5f02\u5e38\u6570\u636e\u3001\u5408\u5e76\u6570\u636e\u96c6\u7b49\u64cd\u4f5c\u3002\u8fd9\u4e9b\u529f\u80fd\u5bf9\u4e8e\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u5b8c\u6574\u6027\u81f3\u5173\u91cd\u8981\u3002NumPy\u5219\u53ef\u4ee5\u7528\u4e8e\u6267\u884c\u5feb\u901f\u7684\u6570\u503c\u8ba1\u7b97\uff0c\u5982\u77e9\u9635\u8fd0\u7b97\u3001\u7edf\u8ba1\u5206\u6790\u7b49\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u662f\u975e\u5e38\u5e38\u89c1\u7684\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<\/p>\n<p><p>\u5728\u8bba\u6587\u4e2d\uff0c\u6570\u636e\u53ef\u89c6\u5316\u662f\u5c55\u793a\u7ed3\u679c\u548c\u53d1\u73b0\u7684\u91cd\u8981\u65b9\u5f0f\u3002Python\u63d0\u4f9b\u4e86\u591a\u4e2a\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5982Matplotlib\u3001Seaborn\u548cPlotly\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u56fe\u8868\uff0c\u7528\u4e8e\u89e3\u91ca\u548c\u652f\u6301\u4f60\u7684\u7814\u7a76\u53d1\u73b0\u3002<\/p>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u4e8c\u7ef4\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u521b\u5efa\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u548c\u52a8\u753b\u56fe\u8868\u3002\u5b83\u975e\u5e38\u9002\u5408\u7528\u4e8e\u521b\u5efa\u7b80\u5355\u7684\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u548c\u6563\u70b9\u56fe\u3002Seaborn\u662f\u5728Matplotlib\u4e4b\u4e0a\u6784\u5efa\u7684\u4e00\u4e2a\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u7ed8\u56fe\u529f\u80fd\u548c\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u3002Plotly\u5219\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u9700\u8981\u7528\u6237\u4e0e\u6570\u636e\u8fdb\u884c\u4e92\u52a8\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001LaTeX\u4e0ePython\u96c6\u6210<\/p>\n<\/p>\n<p><p>\u4f7f\u7528LaTeX\u7f16\u5199\u8bba\u6587\u53ef\u4ee5\u4fdd\u8bc1\u6392\u7248\u7684\u4e13\u4e1a\u6027\u548c\u7f8e\u89c2\u6027\u3002Python\u53ef\u4ee5\u901a\u8fc7PandasLaTeX\u7b49\u5e93\u751f\u6210LaTeX\u4ee3\u7801\uff0c\u81ea\u52a8\u5316\u751f\u6210\u8868\u683c\u548c\u5176\u4ed6\u6392\u7248\u5143\u7d20\uff0c\u4ece\u800c\u7b80\u5316\u6392\u7248\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><p>LaTeX\u662f\u4e00\u79cd\u9ad8\u8d28\u91cf\u7684\u6392\u7248\u7cfb\u7edf\uff0c\u9002\u5408\u7528\u4e8e\u9700\u8981\u590d\u6742\u6392\u7248\u7684\u6587\u6863\uff0c\u5982\u5b66\u672f\u8bba\u6587\u3002\u901a\u8fc7Python\uff0c\u4f60\u53ef\u4ee5\u7f16\u5199\u811a\u672c\u6765\u81ea\u52a8\u751f\u6210LaTeX\u4ee3\u7801\uff0c\u7279\u522b\u662f\u5728\u9700\u8981\u52a8\u6001\u751f\u6210\u8868\u683c\u6216\u590d\u6742\u6570\u5b66\u516c\u5f0f\u7684\u60c5\u51b5\u4e0b\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u8282\u7701\u65f6\u95f4\uff0c\u8fd8\u53ef\u4ee5\u51cf\u5c11\u6392\u7248\u9519\u8bef\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u6587\u732e\u7ba1\u7406\u4e0e\u5f15\u7528<\/p>\n<\/p>\n<p><p>\u5728\u5b66\u672f\u5199\u4f5c\u4e2d\uff0c\u7ba1\u7406\u53c2\u8003\u6587\u732e\u548c\u786e\u4fdd\u5f15\u7528\u7684\u51c6\u786e\u6027\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002Python\u53ef\u4ee5\u901a\u8fc7BibTeX\u7b49\u5de5\u5177\u6765\u7ba1\u7406\u53c2\u8003\u6587\u732e\uff0c\u5e76\u81ea\u52a8\u751f\u6210\u5f15\u7528\u683c\u5f0f\u3002<\/p>\n<\/p>\n<p><p>BibTeX\u662f\u4e00\u4e2a\u7528\u4e8eLaTeX\u7684\u53c2\u8003\u6587\u732e\u7ba1\u7406\u5de5\u5177\uff0cPython\u53ef\u4ee5\u901a\u8fc7\u76f8\u5173\u5e93\u4e0eBibTeX\u96c6\u6210\uff0c\u5b9e\u73b0\u6587\u732e\u7684\u81ea\u52a8\u5316\u7ba1\u7406\u3002\u4f8b\u5982\uff0cBibTeXparser\u5e93\u53ef\u4ee5\u5e2e\u52a9\u4f60\u89e3\u6790\u548c\u5904\u7406BibTeX\u6587\u4ef6\uff0c\u81ea\u52a8\u751f\u6210\u7b26\u5408\u7279\u5b9a\u671f\u520a\u8981\u6c42\u7684\u5f15\u7528\u683c\u5f0f\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u6587\u672c\u5904\u7406\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/p>\n<\/p>\n<p><p>Python\u5728\u6587\u672c\u5904\u7406\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\u540c\u6837\u8868\u73b0\u51fa\u8272\u3002\u901a\u8fc7\u4f7f\u7528NLTK\u3001spaCy\u7b49\u5e93\uff0c\u53ef\u4ee5\u8fdb\u884c\u6587\u672c\u5206\u6790\u3001\u5173\u952e\u8bcd\u63d0\u53d6\u3001\u60c5\u611f\u5206\u6790\u7b49\uff0c\u4e3a\u8bba\u6587\u7684\u7814\u7a76\u90e8\u5206\u63d0\u4f9b\u6570\u636e\u652f\u6301\u3002<\/p>\n<\/p>\n<p><p>NLTK\u662f\u4e00\u4e2a\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u5f00\u6e90\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u6570\u636e\u96c6\uff0c\u9002\u5408\u7528\u4e8e\u6587\u672c\u9884\u5904\u7406\u3001\u5206\u8bcd\u3001\u8bcd\u6027\u6807\u6ce8\u7b49\u57fa\u672c\u4efb\u52a1\u3002spaCy\u5219\u662f\u4e00\u4e2a\u66f4\u73b0\u4ee3\u5316\u7684NLP\u5e93\uff0c\u4e13\u6ce8\u4e8e\u5de5\u4e1a\u5e94\u7528\uff0c\u63d0\u4f9b\u4e86\u66f4\u5feb\u7684\u5904\u7406\u901f\u5ea6\u548c\u66f4\u9ad8\u7684\u51c6\u786e\u6027\uff0c\u9002\u5408\u7528\u4e8e\u590d\u6742\u7684\u6587\u672c\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4e0e\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/p>\n<\/p>\n<p><p>\u5bf9\u4e8e\u6d89\u53ca\u673a\u5668\u5b66\u4e60\u6216\u6df1\u5ea6\u5b66\u4e60\u7684\u8bba\u6587\uff0cPython\u662f\u4e00\u4e2a\u7406\u60f3\u7684\u9009\u62e9\u3002Scikit-learn\u3001TensorFlow\u548cPyTorch\u7b49\u5e93\u63d0\u4f9b\u4e86\u5b8c\u6574\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u96c6\uff0c\u65b9\u4fbf\u7814\u7a76\u8005\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u4f18\u5316\u3002<\/p>\n<\/p>\n<p><p>Scikit-learn\u662f\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u9002\u5408\u7528\u4e8e\u5404\u79cd\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u5982\u5206\u7c7b\u3001\u56de\u5f52\u548c\u805a\u7c7b\u3002TensorFlow\u548cPyTorch\u5219\u662f\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u4e24\u5927\u4e3b\u6d41\u6846\u67b6\uff0c\u652f\u6301\u4ece\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u5230\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5f00\u53d1\u548c\u8bad\u7ec3\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u81ea\u52a8\u5316\u62a5\u544a\u751f\u6210<\/p>\n<\/p>\n<p><p>Python\u53ef\u4ee5\u901a\u8fc7Jupyter Notebook\u548c\u5176\u4ed6\u5de5\u5177\u81ea\u52a8\u751f\u6210\u62a5\u544a\uff0c\u5c06\u4ee3\u7801\u3001\u6570\u636e\u5206\u6790\u548c\u7ed3\u679c\u96c6\u6210\u5728\u4e00\u4e2a\u53ef\u4ea4\u4e92\u7684\u6587\u6863\u4e2d\uff0c\u65b9\u4fbf\u5c55\u793a\u548c\u5206\u4eab\u3002<\/p>\n<\/p>\n<p><p>Jupyter Notebook\u662f\u4e00\u79cd\u4ea4\u4e92\u5f0f\u7b14\u8bb0\u672c\u5de5\u5177\uff0c\u652f\u6301\u5c06\u4ee3\u7801\u3001\u6587\u672c\u3001\u56fe\u8868\u548c\u6570\u5b66\u516c\u5f0f\u96c6\u6210\u5728\u4e00\u4e2a\u6587\u6863\u4e2d\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u62a5\u544a\u751f\u6210\u3002\u901a\u8fc7Jupyter 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