{"id":894,"date":"2023-07-28T09:54:10","date_gmt":"2023-07-28T09:54:10","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e8%bd%acjson\/"},"modified":"2023-07-28T09:54:10","modified_gmt":"2023-07-28T09:54:10","slug":"%e7%86%8a%e7%8c%ab%e8%bd%acjson","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e8%bd%acjson\/","title":{"rendered":"\u5982\u4f55\u5c06 pandas dataframe \u8f6c\u6362\u4e3a json"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u6709\u5174\u8da3\u5c06 pandas DataFrame \u8f6c\u6362\u4e3a JSON \u683c\u5f0f\u3002<\/span><\/p>\n<p>\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">to_json()<\/a>\u51fd\u6570<span style=\"color: #000000;\">\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9<\/span><span style=\"color: #000000;\">\uff0c\u8be5\u51fd\u6570\u5141\u8bb8\u60a8\u5c06 DataFrame \u8f6c\u6362\u4e3a\u5177\u6709\u4ee5\u4e0b\u683c\u5f0f\u4e4b\u4e00\u7684 JSON \u5b57\u7b26\u4e32\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>&#8216;split&#8217;:<\/strong>\u50cf {&#8216;index&#8217; -&gt; [index], &#8216;columns&#8217; -&gt; [columns], &#8216;data&#8217; -&gt; [values]} \u8fd9\u6837\u7684\u5b57\u5178<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>&#8216;records&#8217;\uff1a<\/strong>\u5217\u8868\u5982 [{column -&gt; value}, &#8230;, {column -&gt; value}]<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>&#8216;index&#8217;\uff1a<\/strong>\u7c7b\u4f3c {index -&gt; {column -&gt; value}} \u7684\u5b57\u5178<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>&#8216;columns&#8217;\uff1a<\/strong>\u7c7b\u4f3c {column -&gt; {index -&gt; value}} \u7684\u5b57\u5178<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>&#8216;values&#8217;\uff1a<\/strong>\u53ea\u662f\u503c\u6570\u7ec4<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>&#8216;table&#8217;:<\/strong>\u50cf {&#8216;schema&#8217;: {schema}, &#8216;data&#8217;: {data}} \u8fd9\u6837\u7684\u5b57\u5178<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u4ee5\u4e0b pandas DataFrame \u5c06 DataFrame \u8f6c\u6362\u4e3a\u516d\u79cd\u683c\u5f0f\u4e2d\u7684\u6bcf\u4e00\u79cd\uff1a<\/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>\u65b9\u6cd5\u4e00\uff1a\u201c\u5206\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>\u65b9\u6cd5\u4e8c\uff1a\u201c\u5f55\u97f3\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;\">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>\u65b9\u6cd5\u4e09\uff1a\u201c\u7d22\u5f15\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;\">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>\u65b9\u6cd5\u56db\uff1a\u201c\u5217\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>\u65b9\u6cd5\u4e94\uff1a\u201c\u4ef7\u503c\u89c2\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>\u65b9\u6cd5\u516d\uff1a\u201c\u8868\u683c\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>\u5982\u4f55\u5bfc\u51fa JSON \u6587\u4ef6<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06 JSON \u6587\u4ef6\u5bfc\u51fa\u5230\u8ba1\u7b97\u673a\u4e0a\u7684\u7279\u5b9a\u6587\u4ef6\u8def\u5f84\uff1a<\/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>\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.to_json.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a><span style=\"color: #000000;\">\u627e\u5230 pandas to_json() \u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863<\/span><span style=\"color: #000000;\">\u3002<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u6709\u5174\u8da3\u5c06 pandas DataFrame \u8f6c\u6362\u4e3a JSON \u683c\u5f0f\u3002 \u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528to_json [&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-894","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>\u5982\u4f55\u5c06 Pandas DataFrame \u8f6c\u6362\u4e3a JSON - Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u5c06 pandas DataFrame 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