{"id":891,"date":"2023-07-28T09:54:10","date_gmt":"2023-07-28T09:54:10","guid":{"rendered":"https:\/\/statorials.org\/de\/pandas-zu-json\/"},"modified":"2023-07-28T09:54:10","modified_gmt":"2023-07-28T09:54:10","slug":"pandas-zu-json","status":"publish","type":"post","link":"https:\/\/statorials.org\/de\/pandas-zu-json\/","title":{"rendered":"So konvertieren sie einen pandas dataframe in json"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">M\u00f6glicherweise sind Sie h\u00e4ufig daran interessiert, einen Pandas-DataFrame in das JSON-Format zu konvertieren.<\/span><\/p>\n<p> Gl\u00fccklicherweise ist dies mit der Funktion <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;\">einfach zu bewerkstelligen<\/span> <span style=\"color: #000000;\">, mit der Sie einen DataFrame in einen JSON-String mit einem der folgenden Formate konvertieren k\u00f6nnen:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>&#8217;split&#8216;:<\/strong> diktieren wie {&#8218;index&#8216; -&gt; [index], &#8218;columns&#8216; -&gt; [columns], &#8218;data&#8216; -&gt; [values]}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8218;Datens\u00e4tze&#8216;:<\/strong> Liste wie [{Spalte -&gt; Wert}, &#8230;, {Spalte -&gt; Wert}]<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8218;index&#8216;:<\/strong> diktieren wie {index -&gt; {column -&gt; value}}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8218;Spalten&#8216;:<\/strong> diktieren wie {Spalte -&gt; {Index -&gt; Wert}}<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8218;Werte&#8216;:<\/strong> nur das Array von Werten<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8218;table&#8216;:<\/strong> diktieren wie {&#8217;schema&#8216;: {schema}, &#8218;data&#8216;: {data}}<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Dieses Tutorial zeigt, wie Sie einen DataFrame mit dem folgenden Pandas DataFrame in jedes der sechs Formate konvertieren:<\/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>Methode 1: \u201eTeilen\u201c<\/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>Methode 2: \u201eAufnahmen\u201c<\/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>Methode 3: \u201eIndex\u201c<\/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>Methode 4: \u201eSpalten\u201c<\/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>Methode 5: \u201eWerte\u201c<\/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>Methode 6: \u201eTabelle\u201c<\/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>So exportieren Sie eine JSON-Datei<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Mit der folgenden Syntax k\u00f6nnen Sie eine JSON-Datei in einen bestimmten Dateipfad auf Ihrem Computer exportieren:<\/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;\">Die vollst\u00e4ndige Dokumentation der pandas to_json()-Funktion finden Sie<\/span> <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">hier<\/a> <span style=\"color: #000000;\">.<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>M\u00f6glicherweise sind Sie h\u00e4ufig daran interessiert, einen Pandas-DataFrame in das JSON-Format zu konvertieren. Gl\u00fccklicherweise ist dies mit der Funktion to_json() einfach zu bewerkstelligen , mit der Sie einen DataFrame in einen JSON-String mit einem der folgenden Formate konvertieren k\u00f6nnen: &#8217;split&#8216;: diktieren wie {&#8218;index&#8216; -&gt; [index], &#8218;columns&#8216; -&gt; [columns], &#8218;data&#8216; -&gt; [values]} &#8218;Datens\u00e4tze&#8216;: Liste wie [{Spalte [&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":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>So konvertieren Sie einen Pandas DataFrame in JSON \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Eine einfache Erkl\u00e4rung zum Konvertieren eines Pandas-DataFrames in das JSON-Format.\" \/>\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\/de\/pandas-zu-json\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"So konvertieren Sie einen Pandas DataFrame in JSON \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Eine einfache Erkl\u00e4rung zum Konvertieren eines Pandas-DataFrames in das JSON-Format.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/de\/pandas-zu-json\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T09:54:10+00:00\" \/>\n<meta name=\"author\" content=\"Dr. Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr. Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/de\/pandas-zu-json\/\",\"url\":\"https:\/\/statorials.org\/de\/pandas-zu-json\/\",\"name\":\"So konvertieren Sie einen Pandas DataFrame in JSON \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/de\/#website\"},\"datePublished\":\"2023-07-28T09:54:10+00:00\",\"dateModified\":\"2023-07-28T09:54:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/de\/#\/schema\/person\/ec75c4d6365f2708f8a0ad3a42121aa0\"},\"description\":\"Eine einfache Erkl\u00e4rung zum Konvertieren eines Pandas-DataFrames in das JSON-Format.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/de\/pandas-zu-json\/#breadcrumb\"},\"inLanguage\":\"de-DE\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/de\/pandas-zu-json\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/de\/pandas-zu-json\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Heim\",\"item\":\"https:\/\/statorials.org\/de\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"So konvertieren sie einen pandas dataframe in json\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/de\/#website\",\"url\":\"https:\/\/statorials.org\/de\/\",\"name\":\"Statorials\",\"description\":\"Ihr Leitfaden f\u00fcr statistische Kompetenz !\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/de\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de-DE\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/de\/#\/schema\/person\/ec75c4d6365f2708f8a0ad3a42121aa0\",\"name\":\"Dr. Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de-DE\",\"@id\":\"https:\/\/statorials.org\/de\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/de\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/de\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr. Benjamin Anderson\"},\"description\":\"Hallo, ich bin Benjamin, ein pensionierter Statistikprofessor, der sich zum engagierten Statorials-Lehrer entwickelt hat. 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