{"id":891,"date":"2023-07-28T09:54:10","date_gmt":"2023-07-28T09:54:10","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85%e1%85%b3%e1%86%af-json%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9\/"},"modified":"2023-07-28T09:54:10","modified_gmt":"2023-07-28T09:54:10","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85%e1%85%b3%e1%86%af-json%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85%e1%85%b3%e1%86%af-json%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9\/","title":{"rendered":"Pandas dataframe\uc744 json\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc885\uc885 Pandas DataFrame\uc744 JSON \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> \ub2e4\ud589\ud788 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">to_json()<\/a> \ud568\uc218\ub97c <span style=\"color: #000000;\">\uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4<\/span> <span style=\"color: #000000;\">. \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 DataFrame\uc744 \ub2e4\uc74c \ud615\uc2dd \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec JSON \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\ubd84\ud560&#8217;:<\/strong> dict like {&#8216;index&#8217; -&gt; [index], &#8216;columns&#8217; -&gt; [columns], &#8216;data&#8217; -&gt; [values]}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\ub808\ucf54\ub4dc&#8217;:<\/strong> [{\uc5f4 -&gt; \uac12}, &#8230;, {\uc5f4 -&gt; \uac12}]\uacfc \uac19\uc740 \ubaa9\ub85d<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\uc0c9\uc778&#8217;:<\/strong> {\uc0c9\uc778 -&gt; {\uc5f4 -&gt; \uac12}}\uacfc \uac19\uc740 \uc0ac\uc804<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\uc5f4&#8217;:<\/strong> {\uc5f4 -&gt; {\uc0c9\uc778 -&gt; \uac12}}\uacfc \uac19\uc740 \uc0ac\uc804<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;values&#8217;:<\/strong> \uac12\uc758 \ubc30\uc5f4<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;\ud14c\uc774\ube14&#8217;:<\/strong> {&#8216;schema&#8217;: {schema}, &#8216;data&#8217;: {data}}\uc640 \uac19\uc740 \uc0ac\uc804<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc744 \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc744 6\uac00\uc9c0 \ud615\uc2dd \uac01\uac01\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/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>\ubc29\ubc95 1: \u201c\ub098\ub204\uae30\u201d<\/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>\ubc29\ubc95 2: &#8220;\ub179\uc74c&#8221;<\/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>\ubc29\ubc95 3: &#8220;\uc0c9\uc778&#8221;<\/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>\ubc29\ubc95 4: \u201c\uc5f4\u201d<\/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>\ubc29\ubc95 5: \u201c\uac12\u201d<\/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>\ubc29\ubc95 6: \u201c\ud14c\uc774\ube14\u201d<\/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>JSON \ud30c\uc77c\uc744 \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec JSON \ud30c\uc77c\uc744 \ucef4\ud4e8\ud130\uc758 \ud2b9\uc815 \ud30c\uc77c \uacbd\ub85c\ub85c \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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><a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> <span style=\"color: #000000;\">pandas to_json() \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4<\/span> <span style=\"color: #000000;\">.<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc885\uc885 Pandas DataFrame\uc744 JSON \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788 to_json() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4 . \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 DataFrame\uc744 \ub2e4\uc74c \ud615\uc2dd \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec JSON \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. &#8216;\ubd84\ud560&#8217;: dict like {&#8216;index&#8217; -&gt; [index], &#8216;columns&#8217; -&gt; [columns], &#8216;data&#8217; -&gt; [values]} &#8216;\ub808\ucf54\ub4dc&#8217;: [{\uc5f4 -&gt; \uac12}, &#8230;, {\uc5f4 -&gt; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-891","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas DataFrame\uc744 JSON\uc73c\ub85c \ubcc0\ud658\ud558\ub294 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