{"id":699,"date":"2026-01-01T06:55:02","date_gmt":"2025-12-31T22:55:02","guid":{"rendered":"https:\/\/www.idcyz.com\/blog\/?p=699"},"modified":"2026-01-01T06:55:02","modified_gmt":"2025-12-31T22:55:02","slug":"%e6%9c%ba%e5%9c%ba%e6%8e%a8%e8%8d%90%e5%ba%94%e5%85%b3%e6%b3%a8%e5%93%aa%e4%ba%9b%e5%85%b3%e9%94%ae%e5%9b%a0%e7%b4%a0%e4%bb%a5%e6%8f%90%e5%8d%87%e5%87%ba%e8%a1%8c%e4%bd%93%e9%aa%8c","status":"publish","type":"post","link":"https:\/\/www.idcyz.com\/blog\/699.html","title":{"rendered":"\u673a\u573a\u63a8\u8350\u5e94\u5173\u6ce8\u54ea\u4e9b\u5173\u952e\u56e0\u7d20\u4ee5\u63d0\u5347\u51fa\u884c\u4f53\u9a8c"},"content":{"rendered":"

\u673a\u573a\u63a8\u8350<\/h2>\n<\/p>\n

\"\u673a\u573a\u63a8\u8350\u5e94\u5173\u6ce8\u54ea\u4e9b\u5173\u952e\u56e0\u7d20\u4ee5\u63d0\u5347\u51fa\u884c\u4f53\u9a8c\"<\/p>\n

\u5728\u4f17\u591a\u822a\u7a7a\u670d\u52a1\u4e2d\uff0c\u673a\u573a\u7684\u9009\u62e9\u5bf9\u4e8e\u51fa\u884c\u4f53\u9a8c\u81f3\u5173\u91cd\u8981\u3002\u5982\u4f55\u5728\u7e41\u591a\u7684\u9009\u62e9\u4e2d\u627e\u5230\u6700\u9002\u5408\u7684\u673a\u573a\uff0c\u662f\u4e00\u9879\u6280\u672f\u6027\u4efb\u52a1\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u6280\u672f\u624b\u6bb5\u63a8\u8350\u673a\u573a\uff0c\u5e76\u8be6\u7ec6\u5217\u51fa\u64cd\u4f5c\u6b65\u9aa4\u548c\u793a\u4f8b\u547d\u4ee4\uff0c\u540c\u65f6\u7ed9\u4e88\u6ce8\u610f\u4e8b\u9879\u548c\u5b9e\u7528\u6280\u5de7\u3002<\/p>\n<\/p>\n

\u6280\u672f\u6982\u8ff0<\/h2>\n<\/p>\n

\u672c\u6587\u5c06\u4f7f\u7528Python\u8bed\u8a00\u53ca\u76f8\u5173\u5e93\uff0c\u901a\u8fc7\u6570\u636e\u5206\u6790\u548c\u6392\u5e8f\u7b97\u6cd5\u63a8\u8350\u6700\u9002\u5408\u7684\u673a\u573a\u3002\u5229\u7528Python\u7684Pandas<\/strong>\u5e93\u52a0\u8f7d\u548c\u5206\u6790\u6570\u636e\uff0c\u7ed3\u5408NumPy<\/strong>\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u6700\u540e\u901a\u8fc7Matplotlib<\/strong>\u5c55\u793a\u7ed3\u679c\uff0c\u4f7f\u6211\u4eec\u80fd\u660e\u786e\u54ea\u4e9b\u673a\u573a\u5177\u6709\u8f83\u9ad8\u7684\u63a8\u8350\u6307\u6570\u3002<\/p>\n<\/p>\n

\u64cd\u4f5c\u6b65\u9aa4<\/h2>\n<\/p>\n

\u6b65\u9aa4\u4e00\uff1a\u73af\u5883\u51c6\u5907<\/h3>\n<\/p>\n
    \n
  • \u5b89\u88c5Python\u53ca\u76f8\u5173\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/li>\n

    pip install pandas numpy matplotlib<\/code><\/pre>\n<\/p>\n
  • \u786e\u4fdd\u4f60\u7684Python\u7248\u672c\u57283.6\u53ca\u4ee5\u4e0a\u3002<\/li>\n
  • \u4f60\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/li>\n
    python --version<\/code><\/pre>\n<\/p>\n<\/ul>\n
    \u6b65\u9aa4\u4e8c\uff1a\u6570\u636e\u6536\u96c6<\/h3>\n<\/p>\n
    \u5728\u8fdb\u884c\u673a\u573a\u63a8\u8350\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u6536\u96c6\u76f8\u5173\u6570\u636e\u3002\u53ef\u901a\u8fc7\u7f51\u7edc\u722c\u866b\u6216\u5229\u7528APIs\uff08\u4f8b\u5982OpenSky API\uff09\u83b7\u53d6\u5404\u4e2a\u673a\u573a\u7684\u57fa\u672c\u4fe1\u606f\uff0c\u5305\u62ec\uff1a<\/p>\n<\/p>\n
      \n
    • \u673a\u573a\u540d\u79f0<\/li>\n
    • \u5730\u7406\u4f4d\u7f6e<\/li>\n
    • \u822a\u7a7a\u4ea4\u901a\u91cf<\/li>\n
    • \u8bbe\u65bd\u8bc4\u5206<\/li>\n
    • \u51fa\u53d1\u53ca\u5230\u8fbe\u57ce\u5e02<\/li>\n<\/ul>\n
      \u6b65\u9aa4\u4e09\uff1a\u6570\u636e\u9884\u5904\u7406<\/h3>\n<\/p>\n
      \u4f7f\u7528Pandas<\/strong>\u6574\u7406\u6570\u636e\uff0c\u52a0\u8f7d\u5e76\u6e05\u7406\u65e0\u7528\u7684\u4fe1\u606f\u3002\u4ee5\u4e0b\u662f\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\r\n\r\n
      # \u8bfb\u53d6\u6536\u96c6\u7684\u6570\u636e<\/p>\r\n
      data = pd.read_csv('airports_data.csv')<\/p>\r\n\r\n
      # \u6e05\u7406\u6570\u636e<\/p>\r\n
      data.dropna(inplace=True)  # \u79fb\u9664\u7f3a\u5931\u503c<\/p>\r\n
      data = data[data['traffic_volume'] > 1000]  # \u53ea\u4fdd\u7559\u4ea4\u901a\u91cf\u5927\u4e8e1000\u7684\u673a\u573a<\/p>\r\n
      <\/code><\/pre>\n<\/p>\n
      \u6b65\u9aa4\u56db\uff1a\u6570\u636e\u5206\u6790\u53ca\u8bc4\u5206<\/h3>\n<\/p>\n
      \u6839\u636e\u9884\u5148\u8bbe\u5b9a\u7684\u6807\u51c6\uff08\u5982\u4ea4\u901a\u91cf\u3001\u8bbe\u65bd\u8bc4\u5206\u7b49\uff09\u4e3a\u6bcf\u4e2a\u673a\u573a\u8bc4\u5206\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
      def rating(row):<\/p>\r\n
          return row['traffic_volume'] * 0.6 + row['facility_score'] * 0.4<\/p>\r\n\r\n
      data['recommendation_score'] = data.apply(rating, axis=1)<\/p>\r\n
      <\/code><\/pre>\n<\/p>\n
      \u6b65\u9aa4\u4e94\uff1a\u6392\u5e8f\u4e0e\u7b5b\u9009<\/h3>\n<\/p>\n
      \u6839\u636e\u8bc4\u5206\u7ed3\u679c\u8fdb\u884c\u6392\u5e8f\uff0c\u627e\u51fa\u6700\u9ad8\u63a8\u8350\u6307\u6570\u7684\u673a\u573a\uff1a<\/p>\n<\/p>\n
      recommended_airports = data.sort_values(by='recommendation_score', ascending=False)<\/p>\r\n
      top_airports = recommended_airports.head(10)  # \u83b7\u53d6\u524d10\u4e2a\u63a8\u8350\u7684\u673a\u573a<\/p>\r\n
      <\/code><\/pre>\n<\/p>\n
      \u6b65\u9aa4\u516d\uff1a\u7ed3\u679c\u53ef\u89c6\u5316<\/h3>\n<\/p>\n
      \u4f7f\u7528Matplotlib<\/strong>\u7ed8\u5236\u63a8\u8350\u673a\u573a\u7684\u53ef\u89c6\u5316\u56fe\u8868\uff1a<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\r\n\r\n
      plt.figure(figsize=(10, 6))<\/p>\r\n
      plt.bar(top_airports['airport_name'], top_airports['recommendation_score'], color='blue')<\/p>\r\n
      plt.title('Top Recommended Airports')<\/p>\r\n
      plt.xlabel('Airports')<\/p>\r\n
      plt.ylabel('Recommendation Score')<\/p>\r\n
      plt.xticks(rotation=45)<\/p>\r\n
      plt.tight_layout()<\/p>\r\n
      plt.show()<\/p>\r\n
      <\/code><\/pre>\n<\/p>\n
      \u6ce8\u610f\u4e8b\u9879<\/h2>\n<\/p>\n
        \n
      • \u5728\u6570\u636e\u6536\u96c6\u65f6\uff0c\u786e\u4fdd\u9075\u5b88\u76f8\u5173\u6cd5\u5f8b\u6cd5\u89c4\uff1b<\/li>\n
      • \u5b9e\u65f6\u6570\u636e\u53ef\u80fd\u5f71\u54cd\u8bc4\u5206\uff0c\u9700\u5b9a\u671f\u66f4\u65b0\u6570\u636e\u5e93\uff1b<\/li>\n
      • \u9884\u5904\u7406\u9636\u6bb5\u5e94\u4ed4\u7ec6\u68c0\u67e5\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\uff0c\u907f\u514d\u5f71\u54cd\u5206\u6790\u7ed3\u679c\uff1b<\/li>\n<\/ul>\n
        \u5b9e\u7528\u6280\u5de7<\/h2>\n<\/p>\n
          \n
        • \u591a\u7ef4\u5ea6\u8bc4\u5206\uff1a\u5728\u8bc4\u5206\u65f6\uff0c\u53ef\u8003\u8651\u66f4\u591a\u56e0\u7d20\uff0c\u4f8b\u5982\u673a\u573a\u7684\u98df\u5bbf\u4fbf\u5229\u6027\u3001Wifi\u8986\u76d6\u7b49\uff1b<\/li>\n
        • \u7f13\u5b58\u5e38\u7528\u6570\u636e\uff1a\u5728\u6570\u636e\u8bf7\u6c42\u4e2d\uff0c\u5bf9\u9891\u7e41\u4f7f\u7528\u7684\u6570\u636e\u8fdb\u884c\u7f13\u5b58\uff0c\u63d0\u9ad8\u8fd0\u884c\u6548\u7387\uff1b<\/li>\n
        • \u4f7f\u7528\u591a\u7ebf\u7a0b\uff1a\u5728\u83b7\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u591a\u7ebf\u7a0b\uff0c\u4f18\u5316\u6570\u636e\u91c7\u96c6\u901f\u5ea6\uff1b<\/li>\n<\/ul>\n
          \u6269\u5c55\u4e0e\u6df1\u5165<\/h2>\n<\/p>\n
          \u5bf9\u4e8e\u5bf9\u673a\u573a\u63a8\u8350\u6709\u66f4\u9ad8\u9700\u6c42\u7684\u5e94\u7528\u573a\u666f\uff0c\u53ef\u4ee5\u6269\u5c55\u7b97\u6cd5\u7684\u590d\u6742\u6027\u3002\u4f8b\u5982\uff0c\u5229\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5bf9\u673a\u573a\u63a8\u8350\u8fdb\u884c\u5efa\u6a21\uff0c\u57fa\u4e8e\u7528\u6237\u504f\u597d\u5386\u53f2\u6570\u636e\u8fdb\u884c\u4e2a\u6027\u5316\u63a8\u8350\u3002<\/p>\n<\/p>\n
          \u901a\u8fc7\u7528\u6237\u53cd\u9988\u4e0d\u65ad\u8c03\u6574\u7b97\u6cd5\uff0c\u63d0\u5347\u63a8\u8350\u7684\u51c6\u786e\u6027\u4e0e\u76f8\u5173\u6027\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u7528\u6237\u7684\u6ee1\u610f\u5ea6\u3002<\/p>\n<\/p>\n
          \u901a\u8fc7\u5bf9\u673a\u573a\u63a8\u8350\u7b97\u6cd5\u7684\u6df1\u5165\u5206\u6790\uff0c\u5c06\u4e3a\u822a\u7a7a\u51fa\u884c\u8005\u63d0\u4f9b\u66f4\u4f18\u8d28\u7684\u51fa\u884c\u5efa\u8bae\u3002<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"
          \u673a\u573a\u63a8\u8350 \u5728\u4f17\u591a\u822a\u7a7a\u670d\u52a1\u4e2d\uff0c\u673a\u573a\u7684\u9009\u62e9\u5bf9\u4e8e\u51fa\u884c\u4f53\u9a8c\u81f3\u5173\u91cd\u8981\u3002\u5982\u4f55\u5728\u7e41\u591a\u7684\u9009\u62e9\u4e2d\u627e\u5230\u6700\u9002\u5408\u7684\u673a\u573a\uff0c\u662f\u4e00\u9879\u6280\u672f\u6027\u4efb\u52a1\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u6280\u672f\u624b\u6bb5\u63a8\u8350\u673a\u573a\uff0c\u5e76\u8be6\u7ec6\u5217\u51fa\u64cd\u4f5c\u6b65\u9aa4\u548c\u793a\u4f8b\u547d\u4ee4\uff0c\u540c\u65f6\u7ed9\u4e88\u6ce8\u610f\u4e8b\u9879\u548c\u5b9e\u7528\u6280\u5de7\u3002 \u6280\u672f\u6982\u8ff0 \u672c\u6587\u5c06\u4f7f\u7528Pytho…<\/p>\n","protected":false},"author":1,"featured_media":700,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[12,352,290],"topic":[],"class_list":["post-699","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-jiushu","tag-python","tag-352","tag-290"],"_links":{"self":[{"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/posts\/699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/comments?post=699"}],"version-history":[{"count":1,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/posts\/699\/revisions"}],"predecessor-version":[{"id":702,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/posts\/699\/revisions\/702"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/media\/700"}],"wp:attachment":[{"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/media?parent=699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/categories?post=699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/tags?post=699"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.idcyz.com\/blog\/wp-json\/wp\/v2\/topic?post=699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}