\u6570\u636e\u8bfb\u53d6\u4e0e\u6e05\u6d17<\/strong><\/li>\n<\/ol>\n\u6c14\u8c61\u6570\u636e\u53ef\u4ee5\u6765\u81ea\u591a\u79cd\u6765\u6e90\uff0c\u4f8b\u5982\u536b\u661f\u3001\u5730\u9762\u89c2\u6d4b\u7ad9\u3001\u6c14\u8c61\u6a21\u578b\u7b49\u3002Python\u7684Pandas\u5e93\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6CSV\u3001Excel\u3001NetCDF\u7b49\u683c\u5f0f\u7684\u6570\u636e\u3002\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\uff0c\u4f8b\u5982\u5904\u7406\u7f3a\u5931\u503c\u3001\u53bb\u9664\u5f02\u5e38\u6570\u636e\u7b49\u3002\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u4ee5\u901a\u8fc7Pandas\u7684\u5404\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\uff0c\u4f8b\u5982dropna()<\/code>\u3001fillna()<\/code>\u3001replace()<\/code>\u7b49\u3002<\/p>\n<\/p>\n\n- \u6570\u636e\u6574\u7406\u4e0e\u5408\u5e76<\/strong><\/li>\n<\/ol>\n
\u5728\u6c14\u8c61\u7814\u7a76\u4e2d\uff0c\u7ecf\u5e38\u9700\u8981\u5c06\u6765\u81ea\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u8fdb\u884c\u5408\u5e76\u548c\u6574\u7406\u3002Pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u5408\u5e76\u65b9\u6cd5\uff0c\u4f8b\u5982merge()<\/code>\u3001concat()<\/code>\u548cjoin()<\/code>\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u5c06\u4e0d\u540c\u7684\u6570\u636e\u96c6\u6574\u5408\u5230\u4e00\u8d77\u3002\u6b64\u5916\uff0cPandas\u8fd8\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5206\u7ec4\u529f\u80fd\uff0c\u901a\u8fc7groupby()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u7edf\u8ba1\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n\u4e8c\u3001\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<\/p>\n
Python\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5982Matplotlib\u548cSeaborn\uff0c\u4e3a\u6c14\u8c61\u6570\u636e\u7684\u53ef\u89c6\u5316\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u3002\u53ef\u89c6\u5316\u662f\u7406\u89e3\u6c14\u8c61\u6570\u636e\u7684\u91cd\u8981\u624b\u6bb5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u66f4\u76f4\u89c2\u5730\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u6a21\u5f0f\u548c\u8d8b\u52bf\u3002<\/p>\n<\/p>\n
\n- \u57fa\u672c\u7ed8\u56fe<\/strong><\/li>\n<\/ol>\n
Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u5728\u6c14\u8c61\u5b66\u4e2d\uff0c\u5e38\u7528\u6298\u7ebf\u56fe\u6765\u5c55\u793a\u6e29\u5ea6\u3001\u964d\u6c34\u91cf\u7b49\u6c14\u8c61\u8981\u7d20\u7684\u65f6\u95f4\u5e8f\u5217\u53d8\u5316\u3002<\/p>\n<\/p>\n
\n- \u9ad8\u7ea7\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n
Seaborn\u57fa\u4e8eMatplotlib\uff0c\u63d0\u4f9b\u4e86\u66f4\u52a0\u9ad8\u7ea7\u548c\u7f8e\u89c2\u7684\u53ef\u89c6\u5316\u529f\u80fd\u3002\u4f8b\u5982\uff0cSeaborn\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u70ed\u56fe\uff08heatmap\uff09\uff0c\u7528\u4e8e\u5c55\u793a\u7a7a\u95f4\u6570\u636e\u7684\u5206\u5e03\u60c5\u51b5\u3002\u6b64\u5916\uff0cSeaborn\u8fd8\u63d0\u4f9b\u4e86\u591a\u79cd\u7528\u4e8e\u7edf\u8ba1\u5206\u6790\u7684\u56fe\u8868\uff0c\u5982\u7bb1\u7ebf\u56fe\u3001\u5bc6\u5ea6\u56fe\u7b49\uff0c\u8fd9\u4e9b\u56fe\u8868\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u6df1\u5165\u5206\u6790\u6570\u636e\u7684\u5206\u5e03\u7279\u6027\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u81ea\u52a8\u5316\u4efb\u52a1<\/p>\n<\/p>\n
Python\u7684\u81ea\u52a8\u5316\u80fd\u529b\u4f7f\u5f97\u6c14\u8c61\u5b66\u5bb6\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u91cd\u590d\u6027\u4efb\u52a1\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u4f8b\u5982\uff0c\u81ea\u52a8\u5316\u6570\u636e\u4e0b\u8f7d\u3001\u5904\u7406\u548c\u62a5\u544a\u751f\u6210\u7b49\u3002<\/p>\n<\/p>\n
\n- \u81ea\u52a8\u5316\u6570\u636e\u4e0b\u8f7d<\/strong><\/li>\n<\/ol>\n
\u6c14\u8c61\u6570\u636e\u901a\u5e38\u9700\u8981\u4ece\u591a\u4e2a\u7f51\u7ad9\u6216\u670d\u52a1\u5668\u4e0b\u8f7d\uff0c\u624b\u52a8\u4e0b\u8f7d\u975e\u5e38\u8017\u65f6\u3002\u4f7f\u7528Python\u7684requests<\/code>\u5e93\u548cBeautifulSoup<\/code>\u5e93\uff0c\u53ef\u4ee5\u7f16\u5199\u811a\u672c\u81ea\u52a8\u4e0b\u8f7d\u548c\u89e3\u6790\u7f51\u9875\u4e0a\u7684\u6570\u636e\u3002\u6b64\u5916\uff0c\u8bb8\u591a\u6c14\u8c61\u6570\u636e\u4e5f\u53ef\u4ee5\u901a\u8fc7API\u83b7\u53d6\uff0cPython\u7684requests<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u4e0e\u8fd9\u4e9bAPI\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n\n- \u81ea\u52a8\u5316\u6570\u636e\u5904\u7406<\/strong><\/li>\n<\/ol>\n
\u5728\u83b7\u53d6\u6570\u636e\u540e\uff0c\u901a\u5e38\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u9884\u5904\u7406\u64cd\u4f5c\uff0c\u5982\u683c\u5f0f\u8f6c\u6362\u3001\u5355\u4f4d\u8f6c\u6362\u7b49\u3002Python\u7684\u811a\u672c\u53ef\u4ee5\u81ea\u52a8\u6267\u884c\u8fd9\u4e9b\u64cd\u4f5c\uff0c\u8282\u7701\u4eba\u5de5\u64cd\u4f5c\u65f6\u95f4\u3002<\/p>\n<\/p>\n
\n- \u81ea\u52a8\u5316\u62a5\u544a\u751f\u6210<\/strong><\/li>\n<\/ol>\n
Python\u7684matplotlib<\/code>\u548creportlab<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u81ea\u52a8\u5316\u7684\u62a5\u544a\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u7f16\u5199\u811a\u672c\u81ea\u52a8\u751f\u6210\u6bcf\u5929\u7684\u6c14\u8c61\u62a5\u544a\uff0c\u5305\u62ec\u6570\u636e\u5206\u6790\u7ed3\u679c\u548c\u53ef\u89c6\u5316\u56fe\u8868\u3002<\/p>\n<\/p>\n\u56db\u3001\u673a\u5668\u5b66\u4e60\u5e94\u7528<\/p>\n<\/p>\n
\u968f\u7740\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\uff0cPython\u5728\u6c14\u8c61\u9884\u6d4b\u548c\u5206\u6790\u4e2d\u7684\u5e94\u7528\u4e5f\u65e5\u76ca\u589e\u591a\u3002\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u6c14\u8c61\u9884\u6d4b\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n
\n- \u6784\u5efa\u9884\u6d4b\u6a21\u578b<\/strong><\/li>\n<\/ol>\n
Python\u7684scikit-learn<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u6784\u5efa\u6c14\u8c61\u9884\u6d4b\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u56de\u5f52\u7b97\u6cd5\u9884\u6d4b\u6e29\u5ea6\u53d8\u5316\uff0c\u4f7f\u7528\u5206\u7c7b\u7b97\u6cd5\u9884\u6d4b\u964d\u6c34\u53d1\u751f\u4e0e\u5426\u3002<\/p>\n<\/p>\n\n- \u6df1\u5ea6\u5b66\u4e60\u5e94\u7528<\/strong><\/li>\n<\/ol>\n
\u5bf9\u4e8e\u590d\u6742\u7684\u6c14\u8c61\u6570\u636e\uff0c\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u8868\u73b0\u51fa\u4e86\u5f3a\u5927\u7684\u80fd\u529b\u3002Python\u7684TensorFlow<\/code>\u548cPyTorch<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5982\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u7b49\uff0c\u7528\u4e8e\u6c14\u8c61\u56fe\u50cf\u8bc6\u522b\u3001\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u7b49\u4efb\u52a1\u3002<\/p>\n<\/p>\n\n- \u6a21\u578b\u8bc4\u4f30\u4e0e\u4f18\u5316<\/strong><\/li>\n<\/ol>\n
\u5728\u6784\u5efa\u673a\u5668\u5b66\u4e60\u6a21\u578b\u540e\uff0c\u9700\u8981\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u548c\u4f18\u5316\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u6a21\u578b\u8bc4\u4f30\u6307\u6807\uff0c\u5982\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u7b49\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002\u6b64\u5916\uff0cGridSearchCV<\/code>\u548cRandomizedSearchCV<\/code>\u7b49\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u81ea\u52a8\u5316\u7684\u6a21\u578b\u8d85\u53c2\u6570\u8c03\u4f18\u3002<\/p>\n<\/p>\n\u4e94\u3001\u6c14\u8c61\u6a21\u62df\u4e0e\u5efa\u6a21<\/p>\n<\/p>\n
Python\u5728\u6c14\u8c61\u6a21\u62df\u548c\u5efa\u6a21\u65b9\u9762\u7684\u5e94\u7528\u4e5f\u65e5\u76ca\u5e7f\u6cdb\u3002\u901a\u8fc7\u6570\u503c\u6a21\u62df\uff0c\u53ef\u4ee5\u6a21\u62df\u6c14\u8c61\u73b0\u8c61\u7684\u6f14\u53d8\u8fc7\u7a0b\uff0c\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u7406\u89e3\u590d\u6742\u7684\u6c14\u8c61\u7cfb\u7edf\u3002<\/p>\n<\/p>\n
\n- \u6570\u503c\u5929\u6c14\u9884\u62a5<\/strong><\/li>\n<\/ol>\n
\u6570\u503c\u5929\u6c14\u9884\u62a5\uff08NWP\uff09\u662f\u901a\u8fc7\u8ba1\u7b97\u673a\u6a21\u62df\u5927\u6c14\u7684\u52a8\u529b\u5b66\u548c\u7269\u7406\u8fc7\u7a0b\u6765\u9884\u6d4b\u5929\u6c14\u3002Python\u7684numpy<\/code>\u548cscipy<\/code>\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u529f\u80fd\uff0c\u53ef\u4ee5\u7528\u4e8e\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u503c\u5929\u6c14\u9884\u62a5\u6a21\u578b\u3002<\/p>\n<\/p>\n\n- \u6c14\u5019\u5efa\u6a21<\/strong><\/li>\n<\/ol>\n
\u6c14\u5019\u5efa\u6a21\u6d89\u53ca\u5230\u5bf9\u6c14\u5019\u7cfb\u7edf\u7684\u957f\u671f\u6a21\u62df\u548c\u9884\u6d4b\u3002Python\u7684netCDF4<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u6c14\u5019\u6a21\u578b\u8f93\u51fa\u7684\u6570\u636e\uff0c\u7ed3\u5408matplotlib<\/code>\u548cseaborn<\/code>\u8fdb\u884c\u53ef\u89c6\u5316\u5206\u6790\u3002\u6b64\u5916\uff0cPython\u8fd8\u53ef\u4ee5\u4e0eFortran\u7b49\u9ad8\u6027\u80fd\u8ba1\u7b97\u8bed\u8a00\u7ed3\u5408\u4f7f\u7528\uff0c\u8fdb\u884c\u5927\u89c4\u6a21\u7684\u6c14\u5019\u6a21\u62df\u3002<\/p>\n<\/p>\n\n- \u6a21\u62df\u7ed3\u679c\u5206\u6790<\/strong><\/li>\n<\/ol>\n
\u5728\u6c14\u8c61\u6a21\u62df\u4e2d\uff0c\u901a\u5e38\u4f1a\u4ea7\u751f\u5927\u91cf\u7684\u6a21\u62df\u7ed3\u679c\u6570\u636e\u3002Python\u7684pandas<\/code>\u548cxarray<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u8fd9\u4e9b\u6570\u636e\uff0c\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u4ece\u6a21\u62df\u7ed3\u679c\u4e2d\u63d0\u53d6\u51fa\u6709\u7528\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n\u516d\u3001\u6c14\u8c61\u6570\u636e\u7684\u83b7\u53d6\u4e0e\u7ba1\u7406<\/p>\n<\/p>\n
\u6c14\u8c61\u6570\u636e\u7684\u83b7\u53d6\u4e0e\u7ba1\u7406\u662f\u6c14\u8c61\u7814\u7a76\u7684\u91cd\u8981\u73af\u8282\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u548c\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u9ad8\u6548\u5730\u83b7\u53d6\u548c\u7ba1\u7406\u6c14\u8c61\u6570\u636e\u3002<\/p>\n<\/p>\n
\n- \u6570\u636e\u83b7\u53d6<\/strong><\/li>\n<\/ol>\n
Python\u7684requests<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u4ece\u7f51\u4e0a\u83b7\u53d6\u6c14\u8c61\u6570\u636e\uff0cpandas<\/code>\u7684read_html<\/code>\u548cread_csv<\/code>\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u89e3\u6790\u548c\u8bfb\u53d6\u7f51\u9875\u548cCSV\u683c\u5f0f\u7684\u6570\u636e\u3002\u6b64\u5916\uff0c\u8bb8\u591a\u6c14\u8c61\u6570\u636e\u63d0\u4f9b\u4e86RESTful API\uff0cPython\u7684requests<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u4e0e\u8fd9\u4e9bAPI\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n\n- \u6570\u636e\u5b58\u50a8\u4e0e\u7ba1\u7406<\/strong><\/li>\n<\/ol>\n
\u5bf9\u4e8e\u5927\u89c4\u6a21\u7684\u6c14\u8c61\u6570\u636e\uff0c\u5b58\u50a8\u548c\u7ba1\u7406\u662f\u4e00\u4e2a\u6311\u6218\u3002Python\u7684pandas<\/code>\u548cnumpy<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u5c06\u6570\u636e\u5b58\u50a8\u5728\u672c\u5730\u6587\u4ef6\u4e2d\uff0c\u4f8b\u5982CSV\u3001Excel\u6216HDF5\u683c\u5f0f\u3002\u6b64\u5916\uff0cPython\u8fd8\u53ef\u4ee5\u4e0e\u6570\u636e\u5e93\u7ed3\u5408\u4f7f\u7528\uff0c\u4f8b\u5982\u901a\u8fc7SQLAlchemy<\/code>\u4e0eMySQL\u3001PostgreSQL\u7b49\u6570\u636e\u5e93\u8fdb\u884c\u6570\u636e\u5b58\u50a8\u548c\u7ba1\u7406\u3002<\/p>\n<\/p>\n\n- \u6570\u636e\u7248\u672c\u63a7\u5236<\/strong><\/li>\n<\/ol>\n
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