{"id":897,"date":"2023-07-28T09:19:31","date_gmt":"2023-07-28T09:19:31","guid":{"rendered":"https:\/\/statorials.org\/ru\/json-%d0%b2-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-pandas\/"},"modified":"2023-07-28T09:19:31","modified_gmt":"2023-07-28T09:19:31","slug":"json-%d0%b2-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-pandas","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/json-%d0%b2-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-pandas\/","title":{"rendered":"\u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0430\u0439\u043b json \u0432 dataframe pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0418\u043d\u043e\u0433\u0434\u0430 \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0432 DataFrame pandas. \u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">read_json()<\/a> , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>read_json(&#8216;\u043f\u0443\u0442\u044c&#8217;, orient=&#8217;\u0438\u043d\u0434\u0435\u043a\u0441&#8217;)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u043f\u0443\u0442\u044c:<\/strong> \u043f\u0443\u0442\u044c \u043a \u0432\u0430\u0448\u0435\u043c\u0443 \u0444\u0430\u0439\u043b\u0443 JSON.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>orient:<\/strong> \u043e\u0440\u0438\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u0444\u0430\u0439\u043b\u0430 JSON. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u00ab\u0438\u043d\u0434\u0435\u043a\u0441\u00bb, \u043d\u043e \u0432\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0443\u043a\u0430\u0437\u0430\u0442\u044c \u00ab\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u00bb, \u00ab\u0437\u0430\u043f\u0438\u0441\u0438\u00bb, \u00ab\u0441\u0442\u043e\u043b\u0431\u0446\u044b\u00bb \u0438\u043b\u0438 \u00ab\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u00bb.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0441\u0442\u0440\u043e\u043a JSON.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 1. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 JSON \u0432 \u0444\u043e\u0440\u043c\u0430\u0442 \u00ab\u0417\u0430\u043f\u0438\u0441\u0438\u00bb.<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0441 \u0438\u043c\u0435\u043d\u0435\u043c <strong>my_file.json<\/strong> \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong>[<\/strong><span style=\"color: #000000;\"><strong>\n   {\n      \"points\": 25,\n      \u201cassists\u201d: 5\n   },\n   {\n      \"points\": 12,\n      \u201cassists\u201d: 7\n   },\n   {\n      \"points\": 15,\n      \u201cassists\u201d: 7\n   },\n   {\n      \"points\": 19,\n      \u201cassists\u201d: 12\n   }\n]<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u044d\u0442\u043e\u0442 \u0444\u0430\u0439\u043b JSON \u0432 DataFrame pandas, \u043f\u0440\u043e\u0441\u0442\u043e \u0443\u043a\u0430\u0437\u0430\u0432 \u043f\u0443\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e orient=&#8217; <strong>Records<\/strong> &#8216; \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#load JSON file into pandas DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_json<\/span> ('C:\/Users\/Zach\/Desktop\/json_file.json',<\/span> orient=' <span style=\"color: #008000;\">records<\/span> ')\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #000000;\">df\n\n        assist points\n0 5 25\n1 7 12\n2 7 15\n3 12 19\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 2. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 JSON \u0432 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442.<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0441 \u0438\u043c\u0435\u043d\u0435\u043c <strong>my_file.json<\/strong> \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong>{\n   \"0\": {\n      \"points\": 25,\n      \u201cassists\u201d: 5\n   },\n   \"1\": {\n      \"points\": 12,\n      \u201cassists\u201d: 7\n   },\n   \"2\": {\n      \"points\": 15,\n      \u201cassists\u201d: 7\n   },\n   \"3\": {\n      \"points\": 19,\n      \u201cassists\u201d: 12\n   }\n}<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u044d\u0442\u043e\u0442 JSON-\u0444\u0430\u0439\u043b \u0432 DataFrame pandas, \u043f\u0440\u043e\u0441\u0442\u043e \u0443\u043a\u0430\u0437\u0430\u0432 \u043f\u0443\u0442\u044c \u0441 orient=&#8217; <strong>index<\/strong> &#8216; \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#load JSON file into pandas DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_json<\/span> ('C:\/Users\/Zach\/Desktop\/json_file.json',<\/span> orient=' <span style=\"color: #008000;\">index<\/span> ')\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #000000;\">df\n\n        assist points\n0 5 25\n1 7 12\n2 7 15\n3 12 19\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 3. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 JSON \u0432 \u0444\u043e\u0440\u043c\u0430\u0442 \u00ab\u0421\u0442\u043e\u043b\u0431\u0446\u044b\u00bb.<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0441 \u0438\u043c\u0435\u043d\u0435\u043c <strong>my_file.json<\/strong> \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong>{\n   \"dots\": {\n      \"0\": 25,\n      \"1\": 12,\n      \"2\": 15,\n      \"3\": 19\n   },\n   \"assists\": {\n      \"0\": 5,\n      \"1\": 7,\n      \"2\": 7,\n      \"3\": 12\n   }\n}<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u044d\u0442\u043e\u0442 \u0444\u0430\u0439\u043b JSON \u0432 DataFrame pandas, \u043f\u0440\u043e\u0441\u0442\u043e \u0443\u043a\u0430\u0437\u0430\u0432 \u043f\u0443\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e <strong>\u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432<\/strong> orient=&#8217; \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#load JSON file into pandas DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_json<\/span> ('C:\/Users\/Zach\/Desktop\/json_file.json',<\/span> orient=' <span style=\"color: #008000;\">columns<\/span> ')\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #000000;\">df\n\n        assist points\n0 5 25\n1 7 12\n2 7 15\n3 12 19<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 4. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u0430 JSON \u0432 \u0444\u043e\u0440\u043c\u0430\u0442 \u00ab\u0417\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u00bb.<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0441 \u0438\u043c\u0435\u043d\u0435\u043c <strong>my_file.json<\/strong> \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong>[\n   [\n      25,\n      5\n   ],\n   [\n      12,\n      7\n   ],\n   [\n      15,\n      7\n   ],\n   [\n      19,\n      12\n   ]\n]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0437\u0430\u0433\u0440\u0443\u0437\u0438\u0442\u044c \u044d\u0442\u043e\u0442 JSON-\u0444\u0430\u0439\u043b \u0432 DataFrame pandas, \u043f\u0440\u043e\u0441\u0442\u043e \u0443\u043a\u0430\u0437\u0430\u0432 \u043f\u0443\u0442\u044c \u0441\u043e <strong>\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438<\/strong> orient=&#8217; \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 14px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#load JSON file into pandas DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">read_json<\/span> ('C:\/Users\/Zach\/Desktop\/json_file.json',<\/span> orient=' <span style=\"color: #008000;\">values<\/span> ')\n\n<span style=\"color: #008080;\">#view DataFrame\n<span style=\"color: #000000;\">df\n\n        0<\/span> <span style=\"color: #000000;\">1\n0 25 5\n1 12 7\n2 15 7\n3 19 12\n3 12 19<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>\u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 read_json() \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0437\u0434\u0435\u0441\u044c<\/a> .<\/em><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-excel\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b Excel \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0447\u0438\u0442\u0430\u044e\u0442-csv\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041a\u0430\u043a \u0447\u0438\u0442\u0430\u0442\u044c \u0444\u0430\u0439\u043b\u044b CSV \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0418\u043d\u043e\u0433\u0434\u0430 \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0432 DataFrame pandas. \u041a \u0441\u0447\u0430\u0441\u0442\u044c\u044e, \u044d\u0442\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 pandas read_json() , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: read_json(&#8216;\u043f\u0443\u0442\u044c&#8217;, orient=&#8217;\u0438\u043d\u0434\u0435\u043a\u0441&#8217;) \u0417\u043e\u043b\u043e\u0442\u043e: \u043f\u0443\u0442\u044c: \u043f\u0443\u0442\u044c \u043a \u0432\u0430\u0448\u0435\u043c\u0443 \u0444\u0430\u0439\u043b\u0443 JSON. orient: \u043e\u0440\u0438\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u0444\u0430\u0439\u043b\u0430 JSON. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u00ab\u0438\u043d\u0434\u0435\u043a\u0441\u00bb, \u043d\u043e \u0432\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0443\u043a\u0430\u0437\u0430\u0442\u044c \u00ab\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u00bb, \u00ab\u0437\u0430\u043f\u0438\u0441\u0438\u00bb, \u00ab\u0441\u0442\u043e\u043b\u0431\u0446\u044b\u00bb \u0438\u043b\u0438 \u00ab\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u00bb. \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-897","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0430\u0439\u043b JSON \u0432 DataFrame Pandas \u2014 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