{"id":899,"date":"2023-07-28T09:19:31","date_gmt":"2023-07-28T09:19:31","guid":{"rendered":"https:\/\/statorials.org\/th\/json-%e0%b8%96%e0%b8%b6%e0%b8%87-dataframe-%e0%b8%82%e0%b8%ad%e0%b8%87-pandas\/"},"modified":"2023-07-28T09:19:31","modified_gmt":"2023-07-28T09:19:31","slug":"json-%e0%b8%96%e0%b8%b6%e0%b8%87-dataframe-%e0%b8%82%e0%b8%ad%e0%b8%87-pandas","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/json-%e0%b8%96%e0%b8%b6%e0%b8%87-dataframe-%e0%b8%82%e0%b8%ad%e0%b8%87-pandas\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c json \u0e40\u0e1b\u0e47\u0e19 pandas dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0e1a\u0e32\u0e07\u0e04\u0e23\u0e31\u0e49\u0e07\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e40\u0e1b\u0e47\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32 \u0e42\u0e0a\u0e04\u0e14\u0e35\u0e17\u0e35\u0e48\u0e17\u0e33\u0e44\u0e14\u0e49\u0e07\u0e48\u0e32\u0e22\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">read_json()<\/a> \u0e0b\u0e36\u0e48\u0e07\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>read_json(&#8216;\u0e40\u0e2a\u0e49\u0e19\u0e17\u0e32\u0e07&#8217;, orient=&#8217;\u0e14\u0e31\u0e0a\u0e19\u0e35&#8217;)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e17\u0e2d\u0e07:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0e40\u0e2a\u0e49\u0e19\u0e17\u0e32\u0e07:<\/strong> \u0e40\u0e2a\u0e49\u0e19\u0e17\u0e32\u0e07\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>orient:<\/strong> \u0e01\u0e32\u0e23\u0e27\u0e32\u0e07\u0e41\u0e19\u0e27\u0e02\u0e2d\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e04\u0e48\u0e32\u0e40\u0e23\u0e34\u0e48\u0e21\u0e15\u0e49\u0e19\u0e04\u0e37\u0e2d &#8220;\u0e14\u0e31\u0e0a\u0e19\u0e35&#8221; \u0e41\u0e15\u0e48\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e23\u0e30\u0e1a\u0e38 &#8220;\u0e41\u0e22\u0e01&#8221;, &#8220;\u0e1a\u0e31\u0e19\u0e17\u0e36\u0e01&#8221;, &#8220;\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c&#8221; \u0e2b\u0e23\u0e37\u0e2d &#8220;\u0e04\u0e48\u0e32&#8221; \u0e41\u0e17\u0e19\u0e44\u0e14\u0e49<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e01\u0e31\u0e1a\u0e2a\u0e15\u0e23\u0e34\u0e07 JSON \u0e15\u0e48\u0e32\u0e07\u0e46<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 1: \u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e14\u0e49\u0e27\u0e22\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a &#8220;\u0e1a\u0e31\u0e19\u0e17\u0e36\u0e01&#8221;<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35\u0e44\u0e1f\u0e25\u0e4c JSON \u0e0a\u0e37\u0e48\u0e2d <strong>my_file.json<\/strong> \u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e42\u0e2b\u0e25\u0e14\u0e44\u0e1f\u0e25\u0e4c JSON \u0e19\u0e35\u0e49\u0e25\u0e07\u0e43\u0e19 Pandas DataFrame \u0e44\u0e14\u0e49\u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e23\u0e30\u0e1a\u0e38\u0e1e\u0e32\u0e18\u0e14\u0e49\u0e27\u0e22 orient=&#8217; <strong>records<\/strong> &#8216; \u0e14\u0e31\u0e07\u0e19\u0e35\u0e49:<\/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>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 2: \u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e14\u0e49\u0e27\u0e22\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a &#8220;\u0e14\u0e31\u0e0a\u0e19\u0e35&#8221;<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35\u0e44\u0e1f\u0e25\u0e4c JSON \u0e0a\u0e37\u0e48\u0e2d <strong>my_file.json<\/strong> \u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e42\u0e2b\u0e25\u0e14\u0e44\u0e1f\u0e25\u0e4c JSON \u0e19\u0e35\u0e49\u0e25\u0e07\u0e43\u0e19 DataFrame \u0e02\u0e2d\u0e07 pandas \u0e44\u0e14\u0e49\u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e23\u0e30\u0e1a\u0e38\u0e1e\u0e32\u0e18\u0e14\u0e49\u0e27\u0e22 orient=&#8217; <strong>index<\/strong> &#8216; \u0e14\u0e31\u0e07\u0e19\u0e35\u0e49<\/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>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 3: \u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e14\u0e49\u0e27\u0e22\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a &#8220;\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c&#8221;<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35\u0e44\u0e1f\u0e25\u0e4c JSON \u0e0a\u0e37\u0e48\u0e2d <strong>my_file.json<\/strong> \u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e42\u0e2b\u0e25\u0e14\u0e44\u0e1f\u0e25\u0e4c JSON \u0e19\u0e35\u0e49\u0e25\u0e07\u0e43\u0e19 Pandas DataFrame \u0e44\u0e14\u0e49\u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e23\u0e30\u0e1a\u0e38\u0e40\u0e2a\u0e49\u0e19\u0e17\u0e32\u0e07\u0e14\u0e49\u0e27\u0e22 orient=&#8217; <strong>columns<\/strong> &#8216; \u0e14\u0e31\u0e07\u0e19\u0e35\u0e49:<\/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>\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e17\u0e35\u0e48 4: \u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e14\u0e49\u0e27\u0e22\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a &#8220;\u0e04\u0e48\u0e32&#8221;<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35\u0e44\u0e1f\u0e25\u0e4c JSON \u0e0a\u0e37\u0e48\u0e2d <strong>my_file.json<\/strong> \u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/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;\">\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e42\u0e2b\u0e25\u0e14\u0e44\u0e1f\u0e25\u0e4c JSON \u0e19\u0e35\u0e49\u0e25\u0e07\u0e43\u0e19 Pandas DataFrame \u0e44\u0e14\u0e49\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e1e\u0e35\u0e22\u0e07\u0e23\u0e30\u0e1a\u0e38\u0e1e\u0e32\u0e18\u0e14\u0e49\u0e27\u0e22 orient=&#8217; <strong>\u0e04\u0e48\u0e32<\/strong> &#8216; \u0e14\u0e31\u0e07\u0e19\u0e35\u0e49<\/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>\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e14\u0e39\u0e40\u0e2d\u0e01\u0e2a\u0e32\u0e23\u0e09\u0e1a\u0e31\u0e1a\u0e40\u0e15\u0e47\u0e21\u0e02\u0e2d\u0e07\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 read_json() <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48\u0e19\u0e35\u0e48<\/a><\/em><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e2d\u0e48\u0e32\u0e19-excel-\u0e44\u0e14\u0e49\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0e27\u0e34\u0e18\u0e35\u0e2d\u0e48\u0e32\u0e19\u0e44\u0e1f\u0e25\u0e4c Excel \u0e14\u0e49\u0e27\u0e22 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e2d\u0e48\u0e32\u0e19-csv\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0e27\u0e34\u0e18\u0e35\u0e2d\u0e48\u0e32\u0e19\u0e44\u0e1f\u0e25\u0e4c CSV \u0e14\u0e49\u0e27\u0e22 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e1a\u0e32\u0e07\u0e04\u0e23\u0e31\u0e49\u0e07\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e40\u0e1b\u0e47\u0e19 DataFrame \u0e02\u0e2d\u0e07\u0e41\u0e1e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-899","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e40\u0e1b\u0e47\u0e19 Pandas DataFrame - Statorials<\/title>\n<meta name=\"description\" content=\"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e44\u0e1f\u0e25\u0e4c JSON \u0e40\u0e1b\u0e47\u0e19 Pandas DataFrame\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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