René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Concat behaviour differs significantly from pandas (column order dependent)","articleBody":"**Describe the bug**\r\n\r\nDataFrame creation is column order dependent, unlike Pandas\r\n\r\n\u003e Definition of an Object from [ECMAScript Third Edition (pdf)](http://www.ecma-international.org/publications/files/ECMA-ST-ARCH/ECMA-262,%203rd%20edition,%20December%201999.pdf):\r\n\r\n\u003e 4.3.3 Object\r\nAn object is a member of the type Object. It is an **unordered** collection of properties each of which contains a primitive value, object, or function. A function stored in a property of an object is called a method.\r\n\r\n**To Reproduce**\r\n\r\nDanfo.js v1.1.2\r\n\r\n```\r\nconst json_data_3d = [\r\n  { campaignId: \"toyota\", agentId: \"bob\", metricValue: 1, metricId: \"callCount\" },\r\n  { campaignId: \"toyota\", agentId: \"jim\", metricValue: 2, metricId: \"callCount\" },\r\n  { campaignId: \"sony\", agentId: \"ben\", metricValue: 3, metricId: \"callCount\" },\r\n  { campaignId: \"sony\", agentId: \"karl\", metricId: \"callCount\", metricValue: 4,},\r\n];\r\nconst dfone = new dfd.DataFrame(json_data_3d);\r\ndfone.print()\r\n╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗\r\n║            │ campaignId        │ agentId           │ metricValue       │ metricId          ║\r\n╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢\r\n║ 0          │ toyota            │ bob               │ 1                 │ callCount         ║\r\n╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢\r\n║ 1          │ toyota            │ jim               │ 2                 │ callCount         ║\r\n╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢\r\n║ 2          │ sony              │ ben               │ 3                 │ callCount         ║\r\n╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢\r\n║ 3          │ sony              │ karl              │ callCount         │ 4                 ║\r\n╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝\r\n```\r\n**Expected behavior**\r\n\r\n```\r\nimport pandas as pd\r\n\r\nconst json_data_3d = [\r\n  { campaignId: \"toyota\", agentId: \"bob\", metricValue: 1, metricId: \"callCount\" },\r\n  { campaignId: \"toyota\", agentId: \"jim\", metricValue: 2, metricId: \"callCount\" },\r\n  { campaignId: \"sony\", agentId: \"ben\", metricValue: 3, metricId: \"callCount\" },\r\n  { campaignId: \"sony\", agentId: \"karl\", metricValue: 4, metricId: \"callCount\" },\r\n];\r\nconst dfone = new dfd.DataFrame(json_data_3d);)\r\nprint(dfone)\r\n  campaignId agentId  metricValue   metricId\r\n0     toyota     bob            1  callCount\r\n1     toyota     jim            2  callCount\r\n2       sony     ben            3  callCount\r\n3       sony    karl            4  callCount\r\n```","author":{"url":"https://github.com/bml1g12","@type":"Person","name":"bml1g12"},"datePublished":"2024-05-02T05:32:32.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/641/danfojs/issues/641"}