{"id":890,"date":"2023-07-28T09:54:10","date_gmt":"2023-07-28T09:54:10","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2-json\/"},"modified":"2023-07-28T09:54:10","modified_gmt":"2023-07-28T09:54:10","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2-json","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%b2-json\/","title":{"rendered":"\u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c dataframe pandas \u0432 json"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u0441 \u043c\u043e\u0436\u0435\u0442 \u0437\u0430\u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 DataFrame pandas \u0432 \u0444\u043e\u0440\u043c\u0430\u0442 JSON.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\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<\/span> \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">to_json()<\/a> <span style=\"color: #000000;\">, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c DataFrame \u0432 \u0441\u0442\u0440\u043e\u043a\u0443 JSON \u043e\u0434\u043d\u043e\u0433\u043e \u0438\u0437 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0444\u043e\u0440\u043c\u0430\u0442\u043e\u0432:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u00ab\u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u044c\u00bb:<\/strong> \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a {&#8216;\u0438\u043d\u0434\u0435\u043a\u0441&#8217; -&gt; [\u0438\u043d\u0434\u0435\u043a\u0441], \u00ab\u0441\u0442\u043e\u043b\u0431\u0446\u044b\u00bb -&gt; [\u0441\u0442\u043e\u043b\u0431\u0446\u044b], \u00ab\u0434\u0430\u043d\u043d\u044b\u0435\u00bb -&gt; [\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f]}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\u0437\u0430\u043f\u0438\u0441\u0438&#8217;:<\/strong> \u0441\u043f\u0438\u0441\u043e\u043a \u0442\u0438\u043f\u0430 [{\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}, &#8230;, {\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}]<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\u0438\u043d\u0434\u0435\u043a\u0441&#8217;:<\/strong> \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a {\u0438\u043d\u0434\u0435\u043a\u0441 -&gt; {\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\u0441\u0442\u043e\u043b\u0431\u0446\u044b&#8217;:<\/strong> \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a {\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; {\u0438\u043d\u0434\u0435\u043a\u0441 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u00ab\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u00bb:<\/strong> \u043f\u0440\u043e\u0441\u0442\u043e \u043c\u0430\u0441\u0441\u0438\u0432 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\u0442\u0430\u0431\u043b\u0438\u0446\u0430&#8217;:<\/strong> \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a {&#8216;\u0441\u0445\u0435\u043c\u0430&#8217;: {\u0441\u0445\u0435\u043c\u0430}, &#8216;\u0434\u0430\u043d\u043d\u044b\u0435&#8217;: {\u0434\u0430\u043d\u043d\u044b\u0435}}<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c DataFrame \u0432 \u043a\u0430\u0436\u0434\u044b\u0439 \u0438\u0437 \u0448\u0435\u0441\u0442\u0438 \u0444\u043e\u0440\u043c\u0430\u0442\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'points': [25, 12, 15, 19],\n                   'assists': [5, 7, 7, 12]})  \n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        assist points\n0 25 5\n1 12 7\n2 15 7\n3 19 12\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 1: \u00ab\u0420\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u044c\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">split<\/span> ')\n\n{\n   \"columns\": [\n      \"points\",\n      \"assists\"\n   ],\n   \"index\": [\n      0,\n      1,\n      2,\n      3\n   ],\n   \"data\": [\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   ]\n}\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 2: \u00ab\u0417\u0430\u043f\u0438\u0441\u0438\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">records<\/span> ')\n\n[\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><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 3: \u00ab\u0418\u043d\u0434\u0435\u043a\u0441\u043d\u044b\u0439\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">index<\/span> ') \n\n{\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<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 4: \u00ab\u0421\u0442\u043e\u043b\u0431\u0446\u044b\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">columns<\/span> ') \n\n{\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}\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 5: \u00ab\u0426\u0435\u043d\u043d\u043e\u0441\u0442\u0438\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">values<\/span> ') \n\n[\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<h3> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 6: \u00ab\u0422\u0430\u0431\u043b\u0438\u0446\u0430\u00bb<\/strong><\/span><\/h3>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">table<\/span> ') \n\n{\n   \"plan\": {\n      \"fields\": [\n         {\n            \"name\": \"index\",\n            \"type\": \"integer\"\n         },\n         {\n            \"name\": \"points\",\n            \"type\": \"integer\"\n         },\n         {\n            \"name\": \"assists\",\n            \"type\": \"integer\"\n         }\n      ],\n      \"primaryKey\": [\n         \"index\"\n      ],\n      \"pandas_version\": \"0.20.0\"\n   },\n   \"data\": [\n      {\n         \"index\": 0,\n         \"points\": 25,\n         \u201cassists\u201d: 5\n      },\n      {\n         \"index\": 1,\n         \"points\": 12,\n         \u201cassists\u201d: 7\n      },\n      {\n         \"index\": 2,\n         \"points\": 15,\n         \u201cassists\u201d: 7\n      },\n      {\n         \"index\": 3,\n         \"points\": 19,\n         \u201cassists\u201d: 12\n      }\n   ]\n}<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041a\u0430\u043a \u044d\u043a\u0441\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0444\u0430\u0439\u043b JSON<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u044d\u043a\u0441\u043f\u043e\u0440\u0442\u0430 \u0444\u0430\u0439\u043b\u0430 JSON \u043f\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u043c\u0443 \u043f\u0443\u0442\u0438 \u043a \u0444\u0430\u0439\u043b\u0443 \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create JSON file<\/span> \njson_file = df. <span style=\"color: #3366ff;\">to_json<\/span> (orient=' <span style=\"color: #008000;\">records<\/span> ') \n\n<span style=\"color: #008080;\">#export JSON file<\/span>\nwith open('my_data.json', 'w') as f:\n    f.write(json_file)\n<\/strong><\/pre>\n<p> <em><span style=\"color: #000000;\">\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 pandas to_json() \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0439\u0442\u0438<\/span> <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">\u0437\u0434\u0435\u0441\u044c<\/a> <span style=\"color: #000000;\">.<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u0441 \u043c\u043e\u0436\u0435\u0442 \u0437\u0430\u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 DataFrame pandas \u0432 \u0444\u043e\u0440\u043c\u0430\u0442 JSON. \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 to_json() , \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c DataFrame \u0432 \u0441\u0442\u0440\u043e\u043a\u0443 JSON \u043e\u0434\u043d\u043e\u0433\u043e \u0438\u0437 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0444\u043e\u0440\u043c\u0430\u0442\u043e\u0432: \u00ab\u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u044c\u00bb: \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a {&#8216;\u0438\u043d\u0434\u0435\u043a\u0441&#8217; -&gt; [\u0438\u043d\u0434\u0435\u043a\u0441], \u00ab\u0441\u0442\u043e\u043b\u0431\u0446\u044b\u00bb -&gt; [\u0441\u0442\u043e\u043b\u0431\u0446\u044b], \u00ab\u0434\u0430\u043d\u043d\u044b\u0435\u00bb -&gt; [\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f]} &#8216;\u0437\u0430\u043f\u0438\u0441\u0438&#8217;: \u0441\u043f\u0438\u0441\u043e\u043a \u0442\u0438\u043f\u0430 [{\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}, &#8230;, {\u0441\u0442\u043e\u043b\u0431\u0435\u0446 -&gt; \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435}] &#8216;\u0438\u043d\u0434\u0435\u043a\u0441&#8217;: \u0434\u0438\u043a\u0442\u043e\u0432\u0430\u0442\u044c [&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-890","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 DataFrame Pandas \u0432 JSON \u2014 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta 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