{"id":901,"date":"2023-07-28T09:19:31","date_gmt":"2023-07-28T09:19:31","guid":{"rendered":"https:\/\/statorials.org\/tr\/jsondan-pandalarin-veri-cercevesine-gecis\/"},"modified":"2023-07-28T09:19:31","modified_gmt":"2023-07-28T09:19:31","slug":"jsondan-pandalarin-veri-cercevesine-gecis","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/jsondan-pandalarin-veri-cercevesine-gecis\/","title":{"rendered":"Json dosyas\u0131n\u0131 pandas dataframe&#39;e d\u00f6n\u00fc\u015ft\u00fcrme"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Bazen bir JSON dosyas\u0131n\u0131 pandas DataFrame&#8217;e d\u00f6n\u00fc\u015ft\u00fcrmek isteyebilirsiniz. Neyse ki, a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">read_json()<\/a> i\u015flevini kullanarak bunu yapmak kolayd\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>read_json(&#8216;yol&#8217;, orient=&#8217;dizin&#8217;)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>yol:<\/strong> JSON dosyan\u0131z\u0131n yolu.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>y\u00f6nlendirme:<\/strong> JSON dosyas\u0131n\u0131n y\u00f6n\u00fc. Varsay\u0131lan &#8220;dizin&#8221;dir, ancak bunun yerine &#8220;b\u00f6lme&#8221;, &#8220;kay\u0131tlar&#8221;, &#8220;s\u00fctunlar&#8221; veya &#8220;de\u011ferler&#8221; belirtebilirsiniz.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevin \u00e7e\u015fitli farkl\u0131 JSON dizeleri i\u00e7in nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u00d6rnek 1: Bir JSON dosyas\u0131n\u0131 \u201cKay\u0131tlar\u201d format\u0131na d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Diyelim ki a\u015fa\u011f\u0131daki formatta <strong>my_file.json<\/strong> ad\u0131nda bir JSON dosyam\u0131z var:<\/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;\">Bu JSON dosyas\u0131n\u0131 bir pandas DataFrame&#8217;e, yolu orient=&#8217; <strong>Records<\/strong> &#8216; ile a\u015fa\u011f\u0131daki gibi belirterek y\u00fckleyebiliriz:<\/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>\u00d6rnek 2: Bir JSON dosyas\u0131n\u0131 \u201cDizin\u201d format\u0131na d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Diyelim ki a\u015fa\u011f\u0131daki formatta <strong>my_file.json<\/strong> ad\u0131nda bir JSON dosyam\u0131z var:<\/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;\">Bu JSON dosyas\u0131n\u0131 bir pandas DataFrame&#8217;e, yolu orient=&#8217; <strong>index<\/strong> &#8216; ile a\u015fa\u011f\u0131daki gibi belirterek y\u00fckleyebiliriz:<\/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>\u00d6rnek 3: Bir JSON dosyas\u0131n\u0131 \u201cS\u00fctunlar\u201d format\u0131na d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Diyelim ki a\u015fa\u011f\u0131daki formatta <strong>my_file.json<\/strong> ad\u0131nda bir JSON dosyam\u0131z var:<\/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;\">Bu JSON dosyas\u0131n\u0131 bir pandas DataFrame&#8217;e, yolu orient=&#8217; <strong>column<\/strong> &#8216; ile a\u015fa\u011f\u0131daki gibi belirterek y\u00fckleyebiliriz:<\/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>\u00d6rnek 4: Bir JSON dosyas\u0131n\u0131 \u201cDe\u011ferler\u201d format\u0131na d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Diyelim ki a\u015fa\u011f\u0131daki formatta <strong>my_file.json<\/strong> ad\u0131nda bir JSON dosyam\u0131z var:<\/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;\">Bu JSON dosyas\u0131n\u0131 bir pandas DataFrame&#8217;e, yolu orient=&#8217; <strong>values<\/strong> &#8216; ile a\u015fa\u011f\u0131daki gibi belirterek y\u00fckleyebiliriz:<\/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>Read_json() i\u015flevinin tam belgelerini <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_json.html\" target=\"_blank\" rel=\"noopener noreferrer\">burada<\/a> bulabilirsiniz.<\/em><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/tr\/pandalar-excel-okuyor\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandalar ile Excel dosyalar\u0131 nas\u0131l okunur<\/a><br \/><a href=\"https:\/\/statorials.org\/tr\/pandalar-csvyi-okudu\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandalar ile CSV dosyalar\u0131 nas\u0131l okunur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bazen bir JSON dosyas\u0131n\u0131 pandas DataFrame&#8217;e d\u00f6n\u00fc\u015ft\u00fcrmek isteyebilirsiniz. Neyse ki, a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan pandas read_json() i\u015flevini kullanarak bunu yapmak kolayd\u0131r: read_json(&#8216;yol&#8217;, orient=&#8217;dizin&#8217;) Alt\u0131n: yol: JSON dosyan\u0131z\u0131n yolu. y\u00f6nlendirme: JSON dosyas\u0131n\u0131n y\u00f6n\u00fc. Varsay\u0131lan &#8220;dizin&#8221;dir, ancak bunun yerine &#8220;b\u00f6lme&#8221;, &#8220;kay\u0131tlar&#8221;, &#8220;s\u00fctunlar&#8221; veya &#8220;de\u011ferler&#8221; belirtebilirsiniz. A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevin \u00e7e\u015fitli farkl\u0131 JSON dizeleri i\u00e7in nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek [&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-901","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>JSON dosyas\u0131n\u0131 Pandas DataFrame&#039;e d\u00f6n\u00fc\u015ft\u00fcrme - Statorials<\/title>\n<meta name=\"description\" content=\"Bir JSON dosyas\u0131n\u0131n pandas DataFrame&#039;e nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fine dair basit bir a\u00e7\u0131klama.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/jsondan-pandalarin-veri-cercevesine-gecis\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"JSON dosyas\u0131n\u0131 Pandas DataFrame&#039;e d\u00f6n\u00fc\u015ft\u00fcrme - 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