{"id":536232,"date":"2024-12-24T05:28:52","date_gmt":"2024-12-24T04:28:52","guid":{"rendered":"https:\/\/blog.jetbrains.com\/?post_type=pycharm&#038;p=536232"},"modified":"2025-09-16T12:26:36","modified_gmt":"2025-09-16T11:26:36","slug":"7-ways-to-use-jupyter-notebooks-inside-pycharm","status":"publish","type":"pycharm","link":"https:\/\/blog.jetbrains.com\/zh-hans\/pycharm\/2024\/12\/7-ways-to-use-jupyter-notebooks-inside-pycharm\/","title":{"rendered":"\u5728 PyCharm \u4e2d\u4f7f\u7528 Jupyter Notebook \u7684 7 \u79cd\u65b9\u5f0f"},"content":{"rendered":"<p>Jupyter Notebook \u5141\u8bb8\u60a8\u901a\u8fc7\u6309\u987a\u5e8f\u521b\u5efa\u548c\u5171\u4eab\u6570\u636e\u3001\u65b9\u7a0b\u548c\u53ef\u89c6\u5316\u6548\u679c\u6765\u8bb2\u8ff0\u6545\u4e8b\uff0c\u5e76\u5728\u60a8\u6d4f\u89c8 Notebook \u65f6\u63d0\u4f9b\u652f\u6301\u6027\u53d9\u8ff0\u3002<\/p>\n<p><a href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"_blank\" rel=\"noopener\">PyCharm Professional<\/a> \u4e2d\u7684 Jupyter Notebook \u63d0\u4f9b\u4e86\u6bd4\u57fa\u4e8e\u6d4f\u89c8\u5668\u7684 Jupyter Notebook \u66f4\u591a\u7684\u529f\u80fd\uff0c\u4f8b\u5982\u4ee3\u7801\u8865\u5168\u3001\u52a8\u6001\u7ed8\u56fe\u548c\u5feb\u901f\u7edf\u8ba1\uff0c\u4ee5\u5e2e\u52a9\u60a8\u5feb\u901f\u6709\u6548\u5730\u63a2\u7d22\u548c\u5904\u7406\u6570\u636e\u3002\u00a0\u00a0<\/p>\n<p>\u6211\u4eec\u6765\u770b\u770b\u5728 PyCharm \u4e2d\u4f7f\u7528 Jupyter Notebook \u5b9e\u73b0\u60a8\u7684\u76ee\u6807\u7684 7 \u79cd\u65b9\u5f0f\u3002 \u5b83\u4eec\u662f\uff1a<\/p>\n<ul>\n<li>\u521b\u5efa\u6216\u8fde\u63a5\u5230\u73b0\u6709\u7684 Notebook<\/li>\n<li>\u5bfc\u5165\u6570\u636e<\/li>\n<li>\u719f\u6089\u60a8\u7684\u6570\u636e<\/li>\n<li>\u4f7f\u7528 JetBrains AI Assistant\u00a0<\/li>\n<li>\u4f7f\u7528 PyCharm \u63a2\u7d22\u60a8\u7684\u4ee3\u7801<\/li>\n<li>\u4ece\u4ee3\u7801\u4e2d\u83b7\u5f97\u6d1e\u5bdf<\/li>\n<li>\u5206\u4eab\u60a8\u7684\u6d1e\u5bdf\u548c\u56fe\u8868<\/li>\n<\/ul>\n<p>\u53ef\u4ee5\u5728 <a href=\"https:\/\/github.com\/t-redactyl\/pycon-us-demos\/blob\/main\/demos\/airlines-analysis\/notebooks\/airport-exploration.ipynb\" target=\"_blank\" rel=\"noopener\">GitHub<\/a> \u4e0a\u83b7\u53d6\u6211\u4eec\u5728\u6b64\u6f14\u793a\u4e2d\u4f7f\u7528\u7684 Jupyter Notebook\u3002<\/p>\n<h2 class=\"wp-block-heading\">1. \u521b\u5efa\u6216\u8fde\u63a5\u5230\u73b0\u6709\u7684 Notebook<\/h2>\n<p>\u60a8\u53ef\u4ee5\u5728\u672c\u5730\u521b\u5efa\u548c\u5904\u7406 Jupyter Notebook\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7 PyCharm \u8fdc\u7a0b\u8fde\u63a5\u5230 Notebook\u3002 \u6211\u4eec\u6765\u770b\u770b\u8fd9\u4e24\u79cd\u9009\u9879\uff0c\u4ee5\u4fbf\u60a8\u81ea\u884c\u51b3\u5b9a\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u521b\u5efa\u65b0\u7684 Jupyter Notebook<\/h3>\n<p>\u8981\u5728\u672c\u5730\u5904\u7406 Jupyter Notebook\uff0c\u60a8\u9700\u8981\u8f6c\u5230 PyCharm \u4e2d\u7684 <em>Project<\/em>\uff08\u9879\u76ee\uff09\u5de5\u5177\u7a97\u53e3\uff0c\u5bfc\u822a\u5230\u60a8\u60f3\u8981\u6dfb\u52a0 Notebook \u7684\u4f4d\u7f6e\uff0c\u5e76\u8c03\u7528\u65b0\u6587\u4ef6\u3002 \u60a8\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u952e\u76d8\u5feb\u6377\u952e <em>\u2318N<\/em> (macOS) \/ <em>Alt+Ins<\/em> (Windows\/Linux) \u6216\u53f3\u952e\u70b9\u51fb\u5e76\u9009\u62e9 <em>New | Jupyter Notebook<\/em>\uff08\u65b0\u5efa | Jupyter Notebook\uff09\u6765\u6267\u884c\u6b64\u64cd\u4f5c\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXfwT8pNDpQ171gUzvybVm7kVab9V1BmIrlBkUxFOoGvowrafx8TeTbcIvHBY4rOtWLIM8Zjwb9e_SNQoQPgzpoA4TrivtOZ0AKu680rw7MpMuVneYYuKalay3oRA8M9CWgcwD-lUKZ7eaHBxOks8uKyYlTN.png\" width=\"353\" height=\"555\" \/><\/p>\n<p>\u4e3a\u60a8\u7684\u65b0 Notebook \u547d\u540d\uff0cPyCharm \u4f1a\u5c06\u5176\u6253\u5f00\u4ee5\u4fbf\u60a8\u5f00\u59cb\u5de5\u4f5c\u3002 \u60a8\u8fd8\u53ef\u4ee5\u5c06\u672c\u5730 Jupyter Notebook \u62d6\u5165 PyCharm \u4e2d\uff0cIDE \u4f1a\u81ea\u52a8\u8bc6\u522b\u5b83\u4eec\u3002\u00a0<\/p>\n<h3 class=\"wp-block-heading\">\u8fde\u63a5\u5230\u8fdc\u7a0b Jupyter Notebook<\/h3>\n<p>\u6216\u8005\uff0c\u60a8\u4e5f\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9 <em>Tools | Add Jupyter Connection<\/em>\uff08\u5de5\u5177 | \u6dfb\u52a0 Jupyter \u8fde\u63a5\uff09\u6765\u8fde\u63a5\u5230\u8fdc\u7a0b Jupyter Notebook\u3002 \u60a8\u53ef\u4ee5\u9009\u62e9\u542f\u52a8\u672c\u5730 Jupyter \u670d\u52a1\u5668\u3001\u8fde\u63a5\u5230\u73b0\u6709\u6b63\u5728\u8fd0\u884c\u7684\u672c\u5730 Jupyter \u670d\u52a1\u5668\uff0c\u6216\u8005\u4f7f\u7528 URL \u8fde\u63a5\u5230 Jupyter \u670d\u52a1\u5668 \u2013 \u6240\u6709\u8fd9\u4e9b\u9009\u9879\u5747\u53d7\u652f\u6301\u3002<\/p>\n<p>\u73b0\u5728\uff0c\u60a8\u6709\u4e86 Jupyter Notebook\uff0c\u60a8\u9700\u8981\u4e00\u4e9b\u6570\u636e\uff01<\/p>\n<h2 class=\"wp-block-heading\">2. \u5bfc\u5165\u6570\u636e<\/h2>\n<p>\u6570\u636e\u901a\u5e38\u6709 CSV \u6216\u6570\u636e\u5e93\u4e24\u79cd\u683c\u5f0f\u3002 \u6211\u4eec\u5148\u6765\u770b\u770b\u5982\u4f55\u4ece CSV \u6587\u4ef6\u5bfc\u5165\u6570\u636e\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u4ece CSV \u6587\u4ef6\u5bfc\u5165<\/h3>\n<p><a href=\"https:\/\/pola.rs\/\" target=\"_blank\" rel=\"noopener\">Polars<\/a> \u548c <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/index.html\" target=\"_blank\" rel=\"noopener\">pandas<\/a> \u662f\u7528\u4e8e\u5c06\u6570\u636e\u5bfc\u5165 Jupyter Notebook \u7684\u4e24\u79cd\u6700\u5e38\u7528\u5e93\u3002 \u5728\u672c\u8282\u4e2d\uff0c\u6211\u5c06\u4e3a\u60a8\u63d0\u4f9b\u4e24\u8005\u7684\u4ee3\u7801\uff0c\u60a8\u53ef\u4ee5\u67e5\u770b Polars \u548c pandas \u7684\u6587\u6863\uff0c\u5e76<a href=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/07\/polars-vs-pandas\/\">\u4e86\u89e3 Polars \u4e0e pandas \u7684\u4e0d\u540c\u4e4b\u5904<\/a>\u3002\u00a0<\/p>\n<p>\u60a8\u9700\u8981\u786e\u4fdd\u60a8\u7684 CSV \u4f4d\u4e8e PyCharm \u9879\u76ee\u4e2d\u7684\u67d0\u4e2a\u4f4d\u7f6e\uff0c\u4f8b\u5982\u5728\u4e00\u4e2a\u540d\u4e3a `data` \u7684\u6587\u4ef6\u5939\u4e2d\u3002 \u968f\u540e\uff0c\u60a8\u53ef\u4ee5\u5bfc\u5165 pandas \u5e76\u540e\u7eed\u4f7f\u7528\u5b83\u6765\u8bfb\u53d6 CSV \u6587\u4ef6\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import pandas as pd\ndf = pd.read_csv(\"..\/data\/airlines.csv\")<\/pre>\n<p>\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c<code class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">airlines.csv<\/code> \u662f\u5305\u542b\u6211\u4eec\u60f3\u8981\u5904\u7406\u7684\u6570\u636e\u7684\u6587\u4ef6\u3002 \u8981\u5728 PyCharm \u4e2d\u8fd0\u884c\u6b64\u4ee3\u7801\u548c\u4efb\u4f55\u4ee3\u7801\u5355\u5143\uff0c\u8bf7\u4f7f\u7528 <em>\u21e7\u23ce <\/em>(macOS) \/ <em>Shift+Enter <\/em>(Windows\/Linux)\u3002 \u60a8\u4e5f\u53ef\u4ee5\u4f7f\u7528\u9876\u90e8\u5de5\u5177\u680f\u4e0a\u7684\u7eff\u8272\u8fd0\u884c\u7bad\u5934\u3002<\/p>\n<p>\u5982\u679c\u60a8\u66f4\u559c\u6b22\u4f7f\u7528 Polars\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import polars as pl\ndf = pl.read_csv(\"..\/data\/airlines.csv\")<\/pre>\n<h3 class=\"wp-block-heading\">\u4ece\u6570\u636e\u5e93\u5bfc\u5165<\/h3>\n<p>\u5982\u679c\u60a8\u7684\u6570\u636e\u5728\u6570\u636e\u5e93\u4e2d\uff08\u5185\u90e8\u9879\u76ee\u7684\u5e38\u89c1\u60c5\u51b5\uff09\uff0c\u5219\u53ea\u9700\u518d\u7f16\u5199\u51e0\u884c\u4ee3\u7801\u4fbf\u53ef\u5c06\u5176\u5bfc\u5165 Jupyter Notebook\u3002 \u9996\u5148\uff0c\u60a8\u9700\u8981\u8bbe\u7f6e\u60a8\u7684\u6570\u636e\u5e93\u8fde\u63a5\u3002 \u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u7684\u662f <a href=\"https:\/\/www.jetbrains.com.cn\/help\/idea\/postgresql.html#connect-to-postgresql-database\" target=\"_blank\" rel=\"noopener\">PostgreSQL<\/a>\u3002\u00a0<\/p>\n<p>\u5bf9\u4e8e pandas\uff0c\u60a8\u9700\u8981\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import pandas as pd\nengine = create_engine(\"postgresql:\/\/jetbrains:jetbrains@localhost\/demo\")\ndf = pd.read_sql(sql=text(\"SELECT * FROM airlines\"),\n                      con=engine.connect())<\/pre>\n<p>\u800c\u5bf9\u4e8e Polars\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import polars as pl\nengine = create_engine(\"postgresql:\/\/jetbrains:jetbrains@localhost\/demo\")\nconnection = engine.connect()\nquery = \"SELECT * FROM airlines\"\ndf = pl.read_database(query, connection)<\/pre>\n<h2 class=\"wp-block-heading\">3. \u719f\u6089\u60a8\u7684\u6570\u636e<\/h2>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u5df2\u7ecf\u8bfb\u53d6\u4e86\u6570\u636e\uff0c\u63a5\u4e0b\u6765\u53ef\u4ee5\u770b\u4e00\u4e0b DataFrame \u6216 `df`\uff0c\u56e0\u4e3a\u6211\u4eec\u5c06\u5728\u4ee3\u7801\u4e2d\u5f15\u7528\u5b83\u3002 \u8981\u6253\u5370\u51fa DataFrame\uff0c\u53ea\u9700\u4e00\u884c\u4ee3\u7801\uff0c\u65e0\u8bba\u60a8\u4f7f\u7528\u54ea\u79cd\u65b9\u6cd5\u6765\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">df<\/pre>\n<h3 class=\"wp-block-heading\">DataFrame<\/h3>\n<p>PyCharm \u9996\u5148\u4ee5\u8868\u5f62\u5f0f\u663e\u793a\u60a8\u7684 DataFrame\uff0c\u4ee5\u4fbf\u60a8\u53ef\u4ee5\u8fdb\u884c\u63a2\u7d22\u3002 \u60a8\u53ef\u4ee5\u5728 DataFrame \u4e2d\u6c34\u5e73\u6eda\u52a8\uff0c\u5e76\u70b9\u51fb\u4efb\u4f55\u5217\u6807\u9898\u4ee5\u6309\u8be5\u5217\u5bf9\u6570\u636e\u6392\u5e8f\u3002 \u60a8\u53ef\u4ee5\u70b9\u51fb\u53f3\u4fa7\u7684 <em>Show Column Statistics<\/em>\uff08\u663e\u793a\u5217\u7edf\u8ba1\u4fe1\u606f\uff09\u56fe\u6807\u5e76\u9009\u62e9 <em>Compact<\/em>\uff08\u7d27\u51d1\uff09\u6216 <em>Detailed<\/em>\uff08\u8be6\u7ec6\uff09\uff0c\u4ee5\u83b7\u5f97\u6bcf\u5217\u6570\u636e\u7684\u4e00\u4e9b\u6709\u7528\u7edf\u8ba1\u4fe1\u606f\u3002\u00a0\u00a0\u00a0<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXeeHyIhlM6F4WuvzJRJupS3UCT3l3f8Ws__i6IA1K9Oc8cTqxz7caSppL4AH1ldvzxhAsEPLr2hvDB_2dSdPlHekZoXHw_fFrjmt2Is74R4-0I9Ttwt8ind8JAhHa9xWFZSGU001ItCf3W3Uv8EWjPmvYUL.png\" width=\"624\" height=\"152\" \/><\/p>\n<h3 class=\"wp-block-heading\">\u52a8\u6001\u56fe\u8868<\/h3>\n<p>\u60a8\u53ef\u4ee5\u70b9\u51fb\u5de6\u4fa7\u7684 <em>Chart View<\/em>\uff08\u56fe\u8868\u89c6\u56fe\uff09\u56fe\u6807\uff0c\u5229\u7528 PyCharm \u83b7\u5f97 DataFrame \u7684\u52a8\u6001\u56fe\u8868\u3002 \u6211\u4eec\u5728\u6b64\u793a\u4f8b\u4e2d\u4f7f\u7528 pandas\uff0c\u4f46 Polars DataFrame \u4e5f\u6709\u76f8\u540c\u7684\u9009\u9879\u3002\u00a0<\/p>\n<p>\u70b9\u51fb\u53f3\u4fa7\u7684 <em>Show Series Settings<\/em>\uff08\u663e\u793a\u8fde\u7eed\u8bbe\u7f6e\uff09\u56fe\u6807\uff08\u9f7f\u8f6e\uff09\u6765\u914d\u7f6e\u60a8\u7684\u7ed8\u56fe\u4ee5\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXcTv1goFCpMckuoW8Lmbo7oqAgsrHiB8egyhg8YfZwxZVj2aTQ1-aSYOK5keFz1TqTCsz-s-_UnTLOqgvXUikzpPjiHlh4_si3zRDRzakQ-BpVUUBlz4M1lLrrSeSyaJKduSvGDRlo4YQ96kNCdARPMs_k.png\" width=\"624\" height=\"159\" \/><\/p>\n<p>\u5728\u6b64\u89c6\u56fe\u4e2d\uff0c\u60a8\u53ef\u4ee5\u5c06\u9f20\u6807\u60ac\u505c\u5728\u6570\u636e\u4e0a\u4ee5\u4e86\u89e3\u66f4\u591a\u4fe1\u606f\uff0c\u5e76\u8f7b\u677e\u627e\u51fa\u5f02\u5e38\u503c\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXeKwC_Tde-D05J7J0HgBJQTljKNoIXj0wDYGc3ch96P86GEBjZInhENRXvJJ5jAG7Xz5uluclDu_cCxiUsy_yewg9nYMLMrPXx9_ALeR2qYnY-jFA2RB-J8XyxIIR-ron4DtsF3tL-ne-OPQi3b5yKzDKDm.png\" width=\"624\" height=\"159\" \/><\/p>\n<p>\u60a8\u4e5f\u53ef\u4ee5\u4f7f\u7528 Polars \u5b8c\u6210\u6240\u6709\u64cd\u4f5c\u3002\u00a0<\/p>\n<h2 class=\"wp-block-heading\">4. \u4f7f\u7528 JetBrains AI Assistant<\/h2>\n<p><a href=\"https:\/\/www.jetbrains.com.cn\/ai\/\" target=\"_blank\" rel=\"noopener\">JetBrains AI Assistant<\/a> \u63d0\u4f9b\u4e86\u4e00\u4e9b\u529f\u80fd\uff0c\u53ef\u4ee5\u4f7f\u60a8\u5728 PyCharm \u5185\u4f7f\u7528 Jupyter Notebook \u65f6\u66f4\u52a0\u9ad8\u6548\u3002 \u6211\u4eec\u6765\u4ed4\u7ec6\u770b\u770b\u5982\u4f55\u4f7f\u7528 JetBrains AI Assistant \u89e3\u91ca DataFrame\u3001\u7f16\u5199\u4ee3\u7801\uff0c\u751a\u81f3\u89e3\u91ca\u9519\u8bef\u3002\u00a0<\/p>\n<h3 class=\"wp-block-heading\">\u89e3\u91ca DataFrame<\/h3>\n<p>\u5982\u679c\u60a8\u6709 DataFrame \u4f46\u4e0d\u786e\u5b9a\u4ece\u54ea\u91cc\u5f00\u59cb\uff0c\u53ef\u4ee5\u70b9\u51fb DataFrame \u53f3\u4fa7\u7684\u7d2b\u8272 AI \u56fe\u6807\u5e76\u9009\u62e9 <em>Explain DataFrame<\/em>\uff08\u89e3\u91ca DataFrame\uff09\u3002 JetBrains AI Assistant \u5c06\u4f7f\u7528\u5176\u4e0a\u4e0b\u6587\u4e3a\u60a8\u63d0\u4f9b DataFrame \u7684\u6982\u89c8\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXd8TLPM_ZDIlGDMZXagXLvA0BUNHHwuzLjft2Ksdse24RB2LCTQLB8O6Gkf3KQxT0gqJzH2Wg5DXPb_pM9mQ-qddBeSt1wyzYI1j8DhuU8jIkPuglhwBc6CfUqa0nLMqV0O-OxO3rv4lK1ubBi7pKyRZSI.png\" width=\"624\" height=\"149\" \/><\/p>\n<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u751f\u6210\u7684\u89e3\u91ca\u6765\u5e2e\u52a9\u7406\u89e3\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u7f16\u5199\u4ee3\u7801\u00a0<\/h3>\n<p>\u60a8\u8fd8\u53ef\u4ee5\u8ba9 JetBrains AI Assistant \u5e2e\u52a9\u60a8\u7f16\u5199\u4ee3\u7801\u3002 \u4e5f\u8bb8\u60a8\u77e5\u9053\u60a8\u60f3\u8981\u4ec0\u4e48\u6837\u7684\u7ed8\u56fe\uff0c\u4f46\u4e0d\u80fd\u5b8c\u5168\u786e\u5b9a\u4ee3\u7801\u5e94\u8be5\u662f\u4ec0\u4e48\u6837\u5b50\u3002 \u73b0\u5728\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 JetBrains AI Assistant \u83b7\u5f97\u5e2e\u52a9\u3002 \u5047\u8bbe\u60a8\u60f3\u4f7f\u7528 Matplotlib \u521b\u5efa\u4e00\u4e2a\u7528\u4e8e\u67e5\u627e\u201cTimeMonthName\u201d\u548c\u201cMinutesDelayedWeather\u201d\u4e4b\u95f4\u5173\u7cfb\u7684\u56fe\u8868\u3002 \u901a\u8fc7\u6307\u5b9a\u5217\u540d\uff0c\u6211\u4eec\u4f1a\u4e3a\u8bf7\u6c42\u63d0\u4f9b\u66f4\u591a\u4e0a\u4e0b\u6587\uff0c\u4ece\u800c\u63d0\u9ad8\u6240\u751f\u6210\u4ee3\u7801\u7684\u53ef\u9760\u6027\u3002 \u5c1d\u8bd5\u4f7f\u7528\u4ee5\u4e0b\u63d0\u793a\uff1a<\/p>\n<p><em>Give me code using matplotlib to create a chart which finds the relationship between \u2018TimeMonthName\u2019 and \u2018MinutesDelayedWeather\u2019 for my dataframe df<\/em><\/p>\n<p>\u5982\u679c\u60a8\u559c\u6b22\u751f\u6210\u7684\u4ee3\u7801\uff0c\u53ef\u4ee5\u4f7f\u7528 <em>Insert Snippet at Caret<\/em>\uff08\u5728\u6587\u672c\u5149\u6807\u5904\u63d2\u5165\u4ee3\u7801\u6bb5\uff09\u6309\u94ae\u63d2\u5165\u4ee3\u7801\uff0c\u968f\u540e\u8fd0\u884c\u8be5\u4ee3\u7801\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">import matplotlib.pyplot as plt\n# Assuming your data is in a DataFrame named 'df'\n# Replace 'df' with the actual name of your DataFrame if different\n\n\n# Plotting\nplt.figure(figsize=(10, 6))\nplt.bar(df['TimeMonthName'], df['MinutesDelayedWeather'], color='skyblue')\nplt.xlabel('Month')\nplt.ylabel('Minutes Delayed due to Weather')\nplt.title('Relationship between TimeMonthName and MinutesDelayedWeather')\nplt.xticks(rotation=45)\nplt.grid(axis='y', linestyle='--', alpha=0.7)\nplt.tight_layout()\n\n\nplt.show()<\/pre>\n<p>\u5982\u679c\u60a8\u4e0d\u60f3\u6253\u5f00 <em>AI Assistant<\/em> \u5de5\u5177\u7a97\u53e3\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528 AI \u5355\u5143\u63d0\u793a\u63d0\u51fa\u60a8\u7684\u95ee\u9898\u3002 \u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u8fd9\u91cc\u63d0\u51fa\u76f8\u540c\u7684\u95ee\u9898\u5e76\u83b7\u5f97\u6211\u4eec\u9700\u8981\u7684\u4ee3\u7801\uff1a<\/p>\n<p><strong><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXfazGx_aQ1FpXPhCwSfG0D5ipaLDVbIoWwObso8-BlPOtTon1uSs-JEUtH-ouS_WQqFx8eG2kJ2i9AiW0Y6nViJ291x_7KsOPAfx5rZa9DrM9SikstHGzSJ4JXr3Gw9EwAhVnRnimHVX3B4zUD0MNTBMAE.png\" width=\"624\" height=\"39\" \/><\/strong><\/p>\n<h3 class=\"wp-block-heading\">\u89e3\u91ca\u9519\u8bef<\/h3>\n<p>\u60a8\u8fd8\u53ef\u4ee5\u8ba9 JetBrains AI Assistant \u4e3a\u60a8\u89e3\u91ca\u9519\u8bef\u3002 \u5f53\u60a8\u9047\u5230\u9519\u8bef\u65f6\uff0c\u70b9\u51fb <em>Explain with AI<\/em>\uff08\u4f7f\u7528 AI \u89e3\u91ca\uff09\uff1a\u00a0<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXe7Ay9Gra0mk3qisHKGCc5GghTb5uwNfDjYayTEUakBjwXzUBEv8VsI5CfHU6RWhEmDNjVIbeDheVdaBzXs_FU-_avwV8mVTHvAaDva9APxuESjY43W8iCDRDqkt7U8jMtVXP-C0xlaIC3ZgHjaJDcv3ZI.png\" width=\"624\" height=\"121\" \/><\/p>\n<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u751f\u6210\u7684\u8f93\u51fa\u6765\u52a0\u6df1\u5bf9\u95ee\u9898\u7684\u7406\u89e3\uff0c\u751a\u81f3\u53ef\u80fd\u83b7\u5f97\u4e00\u4e9b\u4ee3\u7801\u6765\u4fee\u6b63\u95ee\u9898\uff01<\/p>\n<h2 class=\"wp-block-heading\">5. \u63a2\u7d22\u60a8\u7684\u4ee3\u7801<\/h2>\n<p>PyCharm \u53ef\u4ee5\u5e2e\u52a9\u60a8\u83b7\u5f97 Jupyter Notebook \u7684\u6982\u89c8\uff0c\u8865\u5168\u90e8\u5206\u4ee3\u7801\u4ee5\u51cf\u5c11\u60a8\u7684\u5de5\u4f5c\u91cf\uff0c\u6309\u9700\u91cd\u6784\u4ee3\u7801\uff0c\u8c03\u8bd5\u4ee3\u7801\uff0c\u751a\u81f3\u6dfb\u52a0\u96c6\u6210\u4ee5\u5e2e\u52a9\u60a8\u5c06\u5176\u63d0\u5347\u5230\u65b0\u7684\u6c34\u5e73\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u4ee3\u7801\u5bfc\u822a\u548c\u4f18\u5316\u63d0\u793a<\/h3>\n<p>\u6211\u4eec\u7684 Jupyter Notebook \u589e\u957f\u5f97\u76f8\u5f53\u5feb\uff0c\u4f46\u5e78\u8fd0\u7684\u662f\uff0c\u60a8\u53ef\u4ee5\u5728 PyCharm \u7684<em>Structure<\/em>\uff08\u7ed3\u6784\uff09\u89c6\u56fe\u4e2d\u901a\u8fc7\u6309 <em>\u23187 <\/em>(macOS) \/ <em>Alt+7<\/em> (Windows\/Linux) \u67e5\u770b\u6240\u6709 Notebook \u7684\u6807\u9898\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXcajjp8eHZs59P6b3qHIg1b-1GLYMQyTJKTovQCw5VTLd37bDx0XHvTkccCOboObIHi-9NEIIGoqkeLwSPv-BAjrMU7j9yQA4IJiBWEU-P65JwRu492cVtyxVayT92h9x1_amgrGpAZIeh9SlbNk7gKRQZS.png\" width=\"309\" height=\"505\" \/><\/p>\n<h3 class=\"wp-block-heading\">\u4ee3\u7801\u8865\u5168<\/h3>\n<p>\u5728 PyCharm \u5185\u4f7f\u7528 Jupyter Notebook \u65f6\uff0c\u60a8\u53ef\u4ee5\u5229\u7528\u7684\u53e6\u4e00\u9879\u5b9e\u7528\u529f\u80fd\u662f\u4ee3\u7801\u8865\u5168\u3002 PyCharm \u63d0\u4f9b\u5f00\u7bb1\u5373\u7528\u7684\u57fa\u672c\u4ee3\u7801\u8865\u5168\u548c\u57fa\u4e8e\u7c7b\u578b\u7684\u4ee3\u7801\u8865\u5168\uff0c\u4f46\u60a8\u4e5f\u53ef\u4ee5\u5728 PyCharm Professional \u4e2d\u542f\u7528<a href=\"https:\/\/blog.jetbrains.com\/blog\/2024\/04\/04\/full-line-code-completion-in-jetbrains-ides-all-you-need-to-know\/\">\u5168\u884c\u4ee3\u7801\u8865\u5168<\/a>\uff0c\u6b64\u529f\u80fd\u4f7f\u7528\u672c\u5730 AI \u6a21\u578b\u63d0\u4f9b\u5efa\u8bae\u3002 \u6700\u540e\uff0cJetBrains AI Assistant \u8fd8\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7f16\u5199\u4ee3\u7801\u5e76\u53d1\u73b0\u65b0\u7684\u5e93\u548c\u6846\u67b6\u3002\u00a0<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXdw93wNuTrSuviFywxOg50ZcBEz6zYspitk3Cdkn8lMlnhzhQVOWp6rk-hKy1Fy0HxY06zOknFWW-0AXmZ8WllzPkRTwNmAUgPNuR7NvNCUW4LyZqpGmyNMdR9UPfA0w-Bw907ALaq8JijM6lyQBfjvKJUp.png\" width=\"624\" height=\"69\" \/><\/p>\n<h3 class=\"wp-block-heading\">\u91cd\u6784<\/h3>\n<p>\u6709\u65f6\u60a8\u9700\u8981\u91cd\u6784\u4ee3\u7801\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ea\u9700\u8981\u77e5\u9053\u4e00\u4e2a\u952e\u76d8\u5feb\u6377\u952e <em>\u2303T<\/em> (macOS) \/ <em>Shift+Ctrl+Alt+T<\/em> (Windows\/Linux)\uff0c\u968f\u540e\u5c31\u53ef\u4ee5\u9009\u62e9\u60a8\u8981\u8c03\u7528\u7684\u91cd\u6784\u3002 \u9009\u62e9\u5982 <em>Rename<\/em>\uff08\u91cd\u547d\u540d\uff09\u3001<em>Change Signature<\/em>\uff08\u66f4\u6539\u7b7e\u540d\uff09\u548c <em>Introduce Variable<\/em>\uff08\u5f15\u5165\u53d8\u91cf\uff09\u7b49\u6d41\u884c\u9009\u9879\uff0c\u6216\u8005\u5982 <em>Extract Method<\/em>\uff08\u63d0\u53d6\u65b9\u6cd5\uff09\u7b49\u9c9c\u4e3a\u4eba\u77e5\u7684\u9009\u9879\uff0c\u5728\u4e0d\u6539\u53d8\u8bed\u4e49\u7684\u60c5\u51b5\u4e0b\u66f4\u6539\u60a8\u7684\u4ee3\u7801\uff1a\u00a0<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXdKFjKIIi3JS7pC6pzNKursr8LCQtpanJSj6kmK6VHZ4u7kU5cCKF6wm4xkkWOm7IsGFAfq3U0s4MFacG-B_yjAC0B_2xkaz_uIreoNLFDHLDILSkXlYZF4RRoKnwx3UGlgmY9VgJGipw5aVwVfmFwTu-eS.png\" width=\"624\" height=\"480\" \/><\/p>\n<p>\u968f\u7740 Jupyter Notebook \u7684\u589e\u957f\uff0c\u60a8\u7684 import \u8bed\u53e5\u4e5f\u53ef\u80fd\u76f8\u5e94\u589e\u957f\u3002 \u6709\u65f6\u60a8\u53ef\u80fd\u4f1a\u5bfc\u5165\u50cf <code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">polars<\/code> \u548c <code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">numpy<\/code> \u8fd9\u6837\u7684\u8f6f\u4ef6\u5305\uff0c\u4f46\u522b\u5fd8\u4e86 <code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">numpy<\/code> \u662f Polars \u5e93\u7684\u4f20\u9012\u4f9d\u8d56\u9879\uff0c\u56e0\u6b64\u6211\u4eec\u4e0d\u9700\u8981\u5355\u72ec\u5bfc\u5165\u5b83\u3002\u00a0\u00a0<\/p>\n<p>\u8981\u6355\u83b7\u8fd9\u4e9b\u60c5\u51b5\u5e76\u4fdd\u6301\u4ee3\u7801\u6574\u6d01\uff0c\u60a8\u53ef\u4ee5\u8c03\u7528 <em>Optimize Imports<\/em>\uff08\u4f18\u5316\u5bfc\u5165\uff09<em>\u2303\u2325O<\/em> (macOS) \/ <em>Ctrl+Alt+O <\/em>(Windows\/Linux)\uff0cPyCharm \u4f1a\u79fb\u9664\u4e0d\u9700\u8981\u7684\u5bfc\u5165\u3002\u00a0<\/p>\n<h3 class=\"wp-block-heading\">\u8c03\u8bd5\u4ee3\u7801<\/h3>\n<p>\u60a8\u53ef\u80fd\u8fd8\u6ca1\u6709\u5728 PyCharm \u4e2d\u4f7f\u7528\u8fc7\u8c03\u8bd5\u5668\uff0c\u4e0d\u8fc7\u8fd9\u6ca1\u5173\u7cfb\u3002 \u53ea\u9700\u77e5\u9053\uff0c\u5f53\u60a8\u9700\u8981\u66f4\u597d\u5730\u7406\u89e3 Jupyter Notebook \u4e2d\u7684\u67d0\u4e9b\u884c\u4e3a\u65f6\uff0c\u5b83\u5c31\u4f1a\u51fa\u73b0\u5e76\u968f\u65f6\u4e3a\u60a8\u63d0\u4f9b\u652f\u6301\u3002\u00a0<\/p>\n<p>\u70b9\u51fb\u88c5\u8ba2\u533a\u57df\u6216\u4f7f\u7528 <em>\u2318F8 <\/em>(macOS) \/<em> Ctrl+F8<\/em> (Windows\/Linux)\uff0c\u5728\u60a8\u611f\u5174\u8da3\u7684\u884c\u4e0a\u653e\u7f6e\u65ad\u70b9\uff0c\u968f\u540e\u4f7f\u7528\u9876\u90e8\u5de5\u5177\u680f\u4e0a\u9644\u6709\u8c03\u8bd5\u56fe\u6807\u7684\u8c03\u8bd5\u5668\u8fd0\u884c\u60a8\u7684\u4ee3\u7801\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXeWsTKJ2K3n4PSxwCQKt5O6fJ07mZgDOBIogEp67urHjaUw9Bk00lwxJbG50JPxAPqayn2vhE6GwEg3jxCXUwZ6DDhhjNduU22NmpB4vzmBzLIIunP1M7JkZ4aARyp8daE08z8CsgIWBO2P_APxbUQol2o5.png\" width=\"624\" height=\"64\" \/><\/p>\n<p>\u60a8\u4e5f\u53ef\u4ee5\u4f7f\u7528 <em>\u2325\u21e7\u23ce<\/em> (macOS) \/ <em>Shift+Alt+Enter<\/em> (Windows\/Linux) \u5728 Jupyter Notebook \u4e2d\u8c03\u7528 PyCharm \u7684\u8c03\u8bd5\u5668\u3002 \u5728 Jupyter Notebook \u4e2d\u8c03\u8bd5\u4ee3\u7801\u65f6\u5b58\u5728\u4e00\u4e9b<a href=\"https:\/\/www.jetbrains.com.cn\/help\/pycharm\/running-jupyter-notebook-cells.html#debug-code-in-jupyter-notebooks\" target=\"_blank\" rel=\"noopener\">\u9650\u5236<\/a>\uff0c\u4f46\u8bf7\u4eb2\u81ea\u5c1d\u8bd5\u5e76\u4e0e\u6211\u4eec\u5206\u4eab\u60a8\u7684\u53cd\u9988\u3002\u00a0<\/p>\n<h3 class=\"wp-block-heading\">\u5c06\u96c6\u6210\u6dfb\u52a0\u5230 PyCharm \u4e2d\u00a0<\/h3>\n<p>\u5982\u679c\u6ca1\u6709\u60a8\u9700\u8981\u7684\u96c6\u6210\uff0cIDE \u5c06\u4e0d\u5b8c\u6574\u3002 PyCharm Professional 2024.2 \u4e3a\u60a8\u7684\u5de5\u4f5c\u6d41\u5e26\u6765\u4e86\u4e24\u4e2a\u65b0\u96c6\u6210\uff1a<a href=\"https:\/\/www.jetbrains.com.cn\/help\/pycharm\/databricks.html\" target=\"_blank\" rel=\"noopener\">DataBricks<\/a> \u548c <a href=\"https:\/\/www.jetbrains.com.cn\/help\/pycharm\/hugging-face.html\" target=\"_blank\" rel=\"noopener\">HuggingFace<\/a>\u3002<\/p>\n<p>\u60a8\u53ef\u4ee5\u8f6c\u5230 Settings\uff08\u8bbe\u7f6e\uff09<kbd><em>\u2318<\/em><\/kbd> (macOS) \/ <kbd><em>Ctrl+Alt+S<\/em><\/kbd> (Windows\/Linux)\uff0c\u9009\u62e9 <em>Plugins <\/em>\uff08\u63d2\u4ef6\uff09\u5e76\u5728 <em>Marketplace<\/em> \u6807\u7b7e\u9875\u4e2d\u641c\u7d22\u5177\u6709\u76f8\u5e94\u540d\u79f0\u7684\u63d2\u4ef6\u6765\u542f\u7528\u4e0e Databricks \u548c HuggingFace \u7684\u96c6\u6210\u3002<\/p>\n<h2 class=\"wp-block-heading\">6. \u4ece\u4ee3\u7801\u4e2d\u83b7\u5f97\u6d1e\u5bdf<\/h2>\n<p>\u5206\u6790\u6570\u636e\u65f6\uff0c\u5206\u7c7b\u53d8\u91cf\u4e0e\u8fde\u7eed\u53d8\u91cf\u4e4b\u95f4\u5b58\u5728\u5dee\u5f02\u3002 \u5206\u7c7b\u6570\u636e\u5177\u6709<strong>\u6709\u9650<\/strong>\u6570\u91cf\u7684\u79bb\u6563\u7ec4\u6216\u7c7b\u522b\uff0c\u800c\u8fde\u7eed\u6570\u636e\u5219\u662f\u4e00\u79cd<strong>\u8fde\u7eed<\/strong>\u5ea6\u91cf\u3002 \u6211\u4eec\u6765\u770b\u770b\u5982\u4f55\u6839\u636e\u822a\u7a7a\u516c\u53f8\u6570\u636e\u96c6\u4e2d\u7684\u5206\u7c7b\u53d8\u91cf\u548c\u8fde\u7eed\u53d8\u91cf\u63d0\u53d6\u4e0d\u540c\u7684\u6d1e\u5bdf\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u8fde\u7eed\u53d8\u91cf<\/h3>\n<p>\u901a\u8fc7\u67e5\u770b\u6570\u636e\u4e2d\u5e73\u5747\u503c\u7684\u5ea6\u91cf\u6807\u51c6\u548c\u6570\u636e\u56f4\u7ed5\u5e73\u5747\u503c\u7684\u5206\u5e03\u7a0b\u5ea6\uff0c\u6211\u4eec\u53ef\u4ee5\u4e86\u89e3\u8fde\u7eed\u6570\u636e\u7684\u5206\u5e03\u60c5\u51b5\u3002 \u5728\u6b63\u6001\u5206\u5e03\u7684\u6570\u636e\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5747\u503c\u6765\u8861\u91cf\u5e73\u5747\u503c\uff0c\u4f7f\u7528\u6807\u51c6\u5dee\u6765\u8861\u91cf\u5206\u5e03\u3002 \u4f46\u662f\uff0c\u5f53\u6570\u636e\u5e76\u975e\u6b63\u6001\u5206\u5e03\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e2d\u503c\u548c\u56db\u5206\u4f4d\u8ddd\uff08\u8fd9\u662f\u7b2c 75 \u548c\u7b2c 25 \u767e\u5206\u4f4d\u6570\u4e4b\u95f4\u7684\u5dee\u5f02\uff09\u6765\u83b7\u5f97\u66f4\u51c6\u786e\u7684\u4fe1\u606f\u3002 \u6211\u4eec\u6765\u770b\u4e00\u4e2a\u8fde\u7eed\u53d8\u91cf\uff0c\u4ee5\u4e86\u89e3\u8fd9\u4e9b\u5ea6\u91cf\u4e4b\u95f4\u7684\u533a\u522b\u3002<\/p>\n<p>\u6211\u4eec\u7684\u6570\u636e\u96c6\u4e2d\u6709\u5f88\u591a\u8fde\u7eed\u53d8\u91cf\uff0c\u4f46\u6211\u4eec\u4f7f\u7528 `NumDelaysLateAircraft` \u6765\u770b\u770b\u6211\u4eec\u80fd\u4e86\u89e3\u54ea\u4e9b\u4fe1\u606f\u3002 \u6211\u4eec\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u83b7\u53d6\u8be5\u5217\u7684\u4e00\u4e9b\u6c47\u603b\u7edf\u8ba1\u4fe1\u606f\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">df['NumDelaysLateAircraft'].describe()<\/pre>\n<p>\u67e5\u770b\u8fd9\u4e9b\u6570\u636e\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230 `mean` ~789 \u548c `median`\uff08\u6211\u4eec\u7684\u7b2c 50 \u767e\u5206\u4f4d\u6570\uff0c\u5728\u4e0b\u8868\u4e2d\u7528\u201c50%\u201d\u8868\u793a\uff09~618 \u4e4b\u95f4\u5b58\u5728\u8f83\u5927\u5dee\u5f02\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXeAHHdgze4ZM9yyzws28yWI3Oz7rwEnl_yRQd6smGAgwgCwYHgORdn8Hf2rsC1Nlc_ZZO2vy0zJsDx2kn8tDnR0raH97RqeDZSQHGe9huExTTd-fd2QpT71FnOeQxB1Ljvh3RLNr2OHwMt2CyD0YMhlucua.png\" width=\"419\" height=\"315\" \/><\/p>\n<p>\u8fd9\u8868\u660e\u6211\u4eec\u7684\u53d8\u91cf\u5206\u5e03\u5b58\u5728\u504f\u659c\uff0c\u56e0\u6b64\u6211\u4eec\u4f7f\u7528 PyCharm \u6765\u8fdb\u4e00\u6b65\u63a2\u7d22\u3002 \u70b9\u51fb\u5de6\u4e0a\u65b9\u7684 <em>Chart View<\/em>\uff08\u56fe\u8868\u89c6\u56fe\uff09\u56fe\u6807\u3002 \u5728\u56fe\u8868\u5448\u73b0\u540e\uff0c\u6211\u4eec\u66f4\u6539\u5c4f\u5e55\u53f3\u4fa7\u7684\u9f7f\u8f6e\u8868\u793a\u7684\u7cfb\u5217\u8bbe\u7f6e\u3002 \u5c06 x \u8f74\u66f4\u6539\u4e3a `NumDelaysLateAircraft`\uff0c\u5c06 y \u8f74\u66f4\u6539\u4e3a `NumDelaysLateAircraft`\u3002\u00a0<\/p>\n<p>\u73b0\u5728\uff0c\u4f7f\u7528\u5c0f\u7bad\u5934\u4e0b\u62c9 y \u8f74\u5e76\u9009\u62e9 `count`\u3002 \u6700\u540e\u4e00\u6b65\u662f\u4f7f\u7528\u53f3\u4e0a\u89d2\u7684\u56fe\u6807\u5c06\u56fe\u8868\u7c7b\u578b\u66f4\u6539\u4e3a <em>Histogram<\/em>\uff08\u76f4\u65b9\u56fe\uff09\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXdGZ9Fbh2pDo5-2698IF9FmTC2h6Yq7njRJ0eiWU4-RHZNrq3AQQnhRZvPbk3ivzmcyitMRz3YfN04SpD7mih-n4GZIyiLUpNLnJj07YSfQ4-NwbcFxjEbL8dD1-1C3v1ZLjTdESYAKqMIQzTHQTR8G8Kh.png\" width=\"624\" height=\"140\" \/><\/p>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u4ece\u89c6\u89c9\u4e0a\u770b\u5230\u504f\u659c\uff0c\u53ef\u4ee5\u770b\u5230\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u5ef6\u8bef\u4e0d\u662f\u592a\u4e25\u91cd\u3002 \u4f46\u662f\uff0c\u5176\u4e2d\u6709\u4e00\u4e9b\u66f4\u6781\u7aef\u7684\u5ef6\u8bef \u2013 \u6709\u4e00\u67b6\u98de\u673a\u662f\u53f3\u4fa7\u7684\u5f02\u5e38\u503c\uff0c\u5b83\u5ef6\u8bef\u4e86 4,509 \u5206\u949f\uff0c\u8d85\u8fc7\u4e09\u5929\uff01<\/p>\n<p>\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c\u5747\u503c\u5bf9\u5f02\u5e38\u503c\u975e\u5e38\u654f\u611f\uff0c\u56e0\u4e3a\u5b83\u662f\u51e0\u4f55\u5e73\u5747\u503c\uff0c\u800c\u4e0d\u50cf\u4e2d\u503c\uff0c\u5982\u679c\u60a8\u5bf9\u53d8\u91cf\u4e2d\u7684\u6240\u6709\u89c2\u5bdf\u503c\u8fdb\u884c\u6392\u5e8f\uff0c\u4e2d\u503c\u5c06\u6b63\u597d\u4f4d\u4e8e\u8fd9\u4e9b\u503c\u7684\u4e2d\u95f4\u3002 \u5f53\u5747\u503c\u9ad8\u4e8e\u4e2d\u503c\u65f6\uff0c\u8bf4\u660e\u6570\u636e\u7684\u53f3\u4fa7\uff08\u8f83\u9ad8\u7684\u4e00\u4fa7\uff09\u6709\u5f02\u5e38\u503c\uff0c\u5982\u6211\u4eec\u8fd9\u4e2a\u793a\u4f8b\u4e2d\u6240\u793a\u3002 \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u4e2d\u503c\u80fd\u66f4\u597d\u5730\u6307\u793a\u771f\u5b9e\u7684\u5e73\u5747\u5ef6\u8bef\uff0c\u67e5\u770b\u4e00\u4e0b\u76f4\u65b9\u56fe\u5c31\u80fd\u4e86\u89e3\u3002<\/p>\n<h3 class=\"wp-block-heading\">\u5206\u7c7b\u53d8\u91cf<\/h3>\n<p>\u6211\u4eec\u6765\u770b\u770b\u5982\u4f55\u4f7f\u7528\u4ee3\u7801\u4ece\u5206\u7c7b\u53d8\u91cf\u4e2d\u83b7\u5f97\u4e00\u4e9b\u6d1e\u5bdf\u3002 \u4e3a\u4e86\u83b7\u5f97\u6bd4 `AirportCode` \u66f4\u6709\u8da3\u7684\u5185\u5bb9\uff0c\u6211\u4eec\u5c06\u5206\u6790\u5728\u4e00\u5e74\u7684\u4e0d\u540c\u6708\u4efd `TimeMonthName` \u4e2d\uff0c\u7531\u5929\u6c14\u5bfc\u81f4\u5ef6\u8bef\u7684\u822a\u73ed\u6570\u91cf `NumDelaysWeather`\u3002<\/p>\n<p>\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06 `NumDelaysWeather` \u4e0e `TimeMonthName` \u5206\u7ec4\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">result = df[['TimeMonthName', 'NumDelaysWeather']].groupby('TimeMonthName').sum()\nresult<\/pre>\n<p>\u8fd9\u518d\u6b21\u4ee5\u8868\u683c\u5f0f\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86 DataFrame\uff0c\u4f46\u70b9\u51fb PyCharm UI \u5de6\u4fa7\u7684 <em>Chart View<\/em>\uff08\u56fe\u8868\u89c6\u56fe\uff09\u56fe\u6807\uff0c\u770b\u770b\u6211\u4eec\u80fd\u4e86\u89e3\u54ea\u4e9b\u4fe1\u606f\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXdFqHb_RhAPVTkFb8wlt7KKpTAOknEJtX2-N7639d4haf3vj_2b6QhmGcg-pmn8BRy-s9qa9rZ4aVV4rT87-mEuBmr_L6MHLe8OZc9CvO_HtRO7DXeTTUZ1ZT00omerHcclv4SK_n-Jv7a9Dzs_nIq8C4S1.png\" width=\"624\" height=\"179\" \/><\/p>\n<p>\u8fd9\u6ca1\u95ee\u9898\uff0c\u4f46\u5982\u679c\u6309\u7167\u683c\u91cc\u5386\u5bf9\u6708\u4efd\u8fdb\u884c\u6392\u5217\u4f1a\u66f4\u6709\u5e2e\u52a9\u3002 \u6211\u4eec\u5148\u6765\u4e3a\u6211\u4eec\u9884\u671f\u7684\u6708\u4efd\u521b\u5efa\u4e00\u4e2a\u53d8\u91cf\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">month_order = [\n   \"January\", \"February\", \"March\", \"April\", \"May\", \"June\",\n   \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"\n]<\/pre>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba9 PyCharm \u4f7f\u7528\u6211\u4eec\u521a\u521a\u5728 `month_order` \u4e2d\u5b9a\u4e49\u7684\u987a\u5e8f\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Convert the 'TimeMonthName' column to a categorical type with the specified order\ndf[\"TimeMonthName\"] = pd.Categorical(df[\"TimeMonthName\"], categories=month_order, ordered=True)\n\n\n# Now you can group by 'TimeMonthName' and perform sum operation, specifying observed=False\nresult = df[['TimeMonthName', 'NumDelaysWeather']].groupby('TimeMonthName', observed=False).sum()\n\n\nresult<\/pre>\n<p>\u968f\u540e\uff0c\u6211\u4eec\u518d\u6b21\u70b9\u51fb <em>Chart View<\/em>\uff08\u56fe\u8868\u89c6\u56fe\uff09\u56fe\u6807\uff0c\u4f46\u51fa\u9519\u4e86\uff01<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXebdqRWDc_nmTiiXwBUCEtBJ98Swl8AePLQ4EvVXjq5quhVVkYkzDlKeNX0HKTMn3vLZTJZvORzVDa6nBa-84XLyPkPCi7jYMkjNVBEXREkbgIgx2GDAvMNecw0Ix_8Q3YDmnn1Z48ssDhTK00jC1-ff-YO.png\" width=\"624\" height=\"137\" \/><\/p>\n<p>\u6211\u4eec\u771f\u7684\u53ef\u4ee5\u8bf4 2 \u6708\u6ca1\u6709\u822a\u73ed\u5ef6\u8bef\u5417\uff1f \u8fd9\u4e0d\u53ef\u80fd\u662f\u5bf9\u7684\u3002 \u6211\u4eec\u7528\u66f4\u591a\u7684\u4ee3\u7801\u68c0\u67e5\u6211\u4eec\u7684\u5047\u8bbe\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">df['TimeMonthName'].value_counts()<\/pre>\n<p>\u554a\u54c8\uff01 \u73b0\u5728\u53ef\u4ee5\u770b\u5230\uff0c\u6211\u4eec\u6570\u636e\u96c6\u4e2d\u7684 `Feburary` \u62fc\u5199\u9519\u8bef\uff0c\u56e0\u6b64\u53d8\u91cf\u540d\u79f0\u4e2d\u7684\u6b63\u786e\u62fc\u5199\u4e0d\u5339\u914d\u3002 \u6211\u4eec\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u66f4\u65b0\u6570\u636e\u96c6\u4e2d\u7684\u62fc\u5199\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">df[\"TimeMonthName\"] = df[\"TimeMonthName\"].replace(\"Febuary\", \"February\")\ndf['TimeMonthName'].value_counts()<\/pre>\n<p>\u5f88\u597d\uff0c\u770b\u8d77\u6765\u5bf9\u4e86\u3002 \u73b0\u5728\uff0c\u6211\u4eec\u5e94\u8be5\u80fd\u591f\u91cd\u65b0\u8fd0\u884c\u6211\u4eec\u4e4b\u524d\u7684\u4ee3\u7801\u5e76\u83b7\u5f97\u53ef\u4ee5\u89e3\u91ca\u7684\u56fe\u8868\u89c6\u56fe\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXeYH9NBuDErLvgymXVNSfiBI_3uHNU6Jby8lYI3Eer4Q3ffLV8rXOWhxgwFy7XHU8VuqkJKXg7J9d6cM2ID7sYQpkVVrxqZQUjp2bm7Z_Ezh2HuDsOOo9Cn1bRS9C-FhVzh4A8Qg_JF1IYZe8SmhFCGITz.png\" width=\"624\" height=\"140\" \/><\/p>\n<p>\u4ece\u8fd9\u4e2a\u89c6\u56fe\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230 12 \u6708\u30011 \u6708\u548c 2 \u6708\u7684\u5ef6\u8bef\u6b21\u6570\u8f83\u591a\uff0c\u7136\u540e\u5728 6 \u6708\u30017 \u6708\u548c 8 \u6708\u7684\u5ef6\u8bef\u6b21\u6570\u4e5f\u8f83\u591a\u3002 \u4f46\u662f\uff0c\u6211\u4eec\u8fd8\u6ca1\u6709\u6839\u636e\u822a\u73ed\u603b\u6570\u5c06\u8fd9\u4e9b\u6570\u636e\u6807\u51c6\u5316\uff0c\u56e0\u6b64\u8fd9\u4e9b\u6708\u4efd\u7684\u822a\u73ed\u6570\u91cf\u53ea\u4f1a\u66f4\u591a\uff0c\u8fd9\u4f1a\u5bfc\u81f4\u8fd9\u4e9b\u7ed3\u679c\u4ee5\u53ca\u590f\u5b63\u548c\u51ac\u5b63\u6708\u4efd\u7684\u5ef6\u8bef\u6b21\u6570\u589e\u52a0\u3002<\/p>\n<h2 class=\"wp-block-heading\">7. \u5206\u4eab\u60a8\u7684\u6d1e\u5bdf\u548c\u56fe\u8868<\/h2>\n<p>\u5f53\u60a8\u7684\u6770\u4f5c\u5b8c\u6210\u65f6\uff0c\u60a8\u53ef\u80fd\u60f3\u8981\u5bfc\u51fa\u6570\u636e\uff0c\u6b64\u65f6\u53ef\u4ee5\u5728 PyCharm \u4e2d\u4f7f\u7528 Jupyter Notebook \u4ee5\u5404\u79cd\u65b9\u5f0f\u505a\u5230\u8fd9\u4e00\u70b9\u3002\u00a0<\/p>\n<h3 class=\"wp-block-heading\">\u5bfc\u51fa DataFrame<\/h3>\n<p>\u60a8\u53ef\u4ee5\u901a\u8fc7\u70b9\u51fb\u53f3\u4fa7\u7684\u5411\u4e0b\u7bad\u5934\u5bfc\u51fa DataFrame\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXd5al-G_ee0U-hn-FrIkjRSebNxXNdVv2nLkvJwcAqI4t2FjAvEemqqUlJotTL238gQlx6rzLjWZjA0sqstdsneggr73NcvHFPqfSZkkBWAX_S56L76SE3UJqqYvteZf_F35b5QX0A6Axo-VZF39vZnEI.png\" width=\"624\" height=\"187\" \/><\/p>\n<p>\u60a8\u53ef\u4ee5\u4ece\u8bb8\u591a\u6709\u7528\u7684\u683c\u5f0f\u4e2d\u9009\u62e9\uff0c\u5305\u62ec SQL\u3001CSV \u548c JSON\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXfSziNPOkbJHjZTh64dyeOq6OUQ601LaDNSSrN6J1qZyyFua4WkmiHU_J9BBjARa7ll2hGJCf2nJRfFmeViMMyNhm-6-YHxvBZrW7xZvPys1uwDDbgL7UZ5rn58txWQtNNmYsMiDXSNFf7mYZJEWiUcBdSe.png\" width=\"548\" height=\"387\" \/><\/p>\n<h3 class=\"wp-block-heading\">\u5bfc\u51fa\u56fe\u8868<\/h3>\n<p>\u5982\u679c\u60a8\u559c\u6b22\u5bfc\u51fa\u4ea4\u4e92\u5f0f\u7ed8\u56fe\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u70b9\u51fb\u53f3\u4fa7\u7684 <em>Export to PNG <\/em>\uff08\u4ee5 PNG \u683c\u5f0f\u5bfc\u51fa\uff09\u56fe\u6807\u505a\u5230\u8fd9\u4e00\u70b9\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXfvbwsqz5I7hxizY1YnUwbiLI8lG6IjTC8fwzmFshOgJZm-wG2huCTIx0H6KhpmAe_LMR328eOFcf7JE95od71vyIav3FDP3aq8cK3cZFkjlLE8eCD6pYbulwL-EqwVOwDZunbF6DLiKj4DiyhCamX7H34.png\" width=\"624\" height=\"164\" \/><\/p>\n<h3 class=\"wp-block-heading\">\u5728\u6d4f\u89c8\u5668\u4e2d\u67e5\u770b\u60a8\u7684 Notebook<\/h3>\n<p>\u60a8\u53ef\u4ee5\u70b9\u51fb Notebook \u53f3\u4e0a\u89d2\u7684\u56fe\u6807\uff0c\u968f\u65f6\u5728\u6d4f\u89c8\u5668\u4e2d\u67e5\u770b\u6574\u4e2a Jupyter Notebook\uff1a<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/09\/AD_4nXd_N3aGqlCFR-aWIWGibLUE_8r76hKFcOt0GvPYOyURwA2oKWEyfJaZ4TUsmo112kGEUXG38tOSIjFX0dh6lM1s95Ve5o-n486GPs1sToZzkvWJjNCkl1fY5_SKj0GghXrwyEAdjHxI4FMx44mvjs-JBBi.png\" width=\"624\" height=\"93\" \/><\/p>\n<p>\u6700\u540e\uff0c\u5982\u679c\u60a8\u60f3\u5c06 Jupyter Notebook \u5bfc\u51fa\u4e3a Python \u6587\u4ef6\uff0c2024.2 \u4e5f\u652f\u6301\u8fd9\u6837\u505a\uff01 \u5728 <em>Project<\/em>\uff08\u9879\u76ee\uff09\u5de5\u5177\u7a97\u53e3\u4e2d\u53f3\u952e\u70b9\u51fb\u60a8\u7684 Jupyter Notebook \u5e76\u9009\u62e9 <em>Convert to Python File<\/em>\uff08\u8f6c\u6362\u4e3a Python \u6587\u4ef6\uff09\u3002 \u6309\u7167\u8bf4\u660e\u64cd\u4f5c\u5373\u53ef\uff01<\/p>\n<h2 class=\"wp-block-heading\">\u603b\u7ed3<\/h2>\n<p>\u5728 <a href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/data-science\/\" target=\"_blank\" rel=\"noopener\">PyCharm Professional<\/a> \u4e2d\u4f7f\u7528 Jupyter Notebook \u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u4f7f\u60a8\u80fd\u591f\u66f4\u5feb\u5730\u521b\u5efa\u4ee3\u7801\u3001\u8f7b\u677e\u63a2\u7d22\u6570\u636e\uff0c\u5e76\u4ee5\u6ee1\u8db3\u60a8\u9700\u6c42\u7684\u683c\u5f0f\u5bfc\u51fa\u9879\u76ee\u3002\u00a0<\/p>\n<p>\u4e0b\u8f7d PyCharm Professional \u4eb2\u81ea\u8bd5\u7528\u5427\uff01 \u7acb\u5373\u83b7\u5f97\u5ef6\u957f\u8bd5\u7528\u671f\uff0c\u4f53\u9a8c PyCharm Professional \u53ef\u4ee5\u4e3a\u60a8\u7684\u6570\u636e\u79d1\u5b66\u5de5\u4f5c\u5e26\u6765\u54ea\u4e9b\u4e0d\u540c\u3002<\/p>\n<p>\u5728\u7ed3\u8d26\u65f6\u4f7f\u7528\u4fc3\u9500\u4ee3\u7801 <strong>PyCharmNotebooks<\/strong> \u6fc0\u6d3b\u60a8\u7684\u514d\u8d39 60 \u5929 PyCharm Professional \u8ba2\u9605\u3002 \u514d\u8d39\u8ba2\u9605\u4ec5\u9002\u7528\u4e8e\u4e2a\u4eba\u7528\u6237\u3002<\/p>\n<div class=\"buttons\">\n<div class=\"buttons__row\"><a class=\"btn\" href=\"https:\/\/jb.gg\/ogc809\" target=\"\" rel=\"noopener\">\u6fc0\u6d3b\u60a8\u7684 60 \u5929\u8bd5\u7528\u671f<\/a><\/div>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u672c\u535a\u6587\u82f1\u6587\u539f\u4f5c\u8005\uff1a<\/p>\n\n\n    <div class=\"about-author \">\n        <div class=\"about-author__box\">\n            <div class=\"row\">\n                <div class=\"about-author__box-img\">\n                    <img decoding=\"async\" src=\"https:\/\/secure.gravatar.com\/avatar\/193dd3accbb2e467f1b46a7f38ea929d?s=200&#038;r=g\" width=\"200\" height=\"200\" alt=\"Helen Scott\" loading=\"lazy\"  class=\"avatar avatar-200 wp-user-avatar wp-user-avatar-200 photo avatar-default\">\n                <\/div>\n                <div class=\"about-author__box-text\">\n                                            <h4>Helen Scott<\/h4>\n                                                        <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n","protected":false},"author":1297,"featured_media":510335,"comment_status":"closed","ping_status":"closed","template":"","categories":[952,1401],"tags":[953,7057],"cross-post-tag":[],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536232"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/types\/pycharm"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/users\/1297"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=536232"}],"version-history":[{"count":5,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536232\/revisions"}],"predecessor-version":[{"id":607046,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/536232\/revisions\/607046"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media\/510335"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=536232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=536232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=536232"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/cross-post-tag?post=536232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}