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Posted to commits@echarts.apache.org by "helgasoft (via GitHub)" <gi...@apache.org> on 2023/05/01 02:48:22 UTC

[GitHub] [echarts] helgasoft commented on issue #18437: Hope xAxis of Stack Line support value

helgasoft commented on issue #18437:
URL: https://github.com/apache/echarts/issues/18437#issuecomment-1529280832

   Aah what a beauty, a **model** for problem/feature presentation, great job @maciej-flexcompute !
   The new data helped me improve algorithm and code.
   
   > But in general case (interval are real numbers) this is not possible to find such interval.
   
   Curious on the reason behind this statement. A constant step (interval) is crucial for the algorithm.
   Please take a look at the couple lines where _smp_ is generated. Could it not work with different data ?
   
   > Finally, you can make a restriction that x values are common for both y1 and y2
   
   That may eventually help depending on what comes out of the previous question. But hope this limitation won't be necessary.
   
   [Latest Demo](https://echarts.apache.org/examples/en/editor.html?c=themeRiver-basic&code=PTAEBMEMBdNAHATgU3gKAGYFcB2BjaASwHsdQBPAMUWIFsANACnmMJ2gEYAaBV9gJh4APAJSgA3mlCgA5okjhCydqAC8oZn2j8A2hwC6oALS82nPfrFhNZ3QAZDJlmY46HIgNxTQZ5Ijyo0Gqm7K4GxrLyispBAFQh5g5e0ijQWIhkcgpKKvFCoADUPux-AfDQXgC-mLgEJGR4dPCQKAByWLQARn4AzoyQPJ1ikinIaRmgcCadVWggxfBYQQBukAA2WMigPX5KPWg9PcE63ifS0m4AdHbcoBzX-lzeF3aXAKw893YAzI_PoHprrcvm8_ucAfcPndrgAOMHnHT8IGfS4GJ7gxHvYGo37ohHfZHQjigvEXAlQ-4cADs8IuABZCfd-LSAQyKZd-MzSQC3tcUfwSf8dLy3tj-DTuToAGyMy64oUy9nfLlCqmy750lk6NWilHfCVCmF86HfACcWqN7LpaKFptldM1krtVqlWo4rxuKLpcMl7qxKMFGI4XwDKqDkOxb0dQo4SM90LeBqDSN1CfNvoJ8fuUptQfJKKlYYRHAZdgL0aDDME0KlgeLDOtBddvoZUoLSfrlxh7bdvKzlylPpjvOr2fTw8ujehHYuxIHKJnEN53enueLMv7VKLs5l_GxW7dMrpC_lQZlbenFfXXYXV9narL07r945C-bMbVU_uVPfQbVOYXRc9DVGF9yHIMjU3cDiyNUdLipccIMnbFoNnI0L3uVCISNUCUVAt07UfTC11nO09zw7cITtY9oRhSi9DtDCu1PYs7Vw2jNW8eEzgRD1bj4rVXihV4qRIiFZQcX13h4EStTjW4jAEyUUwUkT6MzBSvi1fNjBEsSdFLfigS1NkZPg_S-xRSShRFIygI3VTrnoxUeEU8ytQfTSHklHVHKA
 yCzJuC1pNAPStUI7FrIxZ0zKAv14zcoLfSEvz9ODY0jC030I1c2TfXkwL6Njf1QvgoqNKst0dLClsMo9N0q1yuU0obRzf07C83Pw2qVzc01nyXQlMu8idqz6ga9F5Kcut7eddPeLDJpvebvjShzArWjkjOVQ9JzMt5EOvC9Xm6mMZRXV5-rdB9Kt9NVq0uibqWQszFuegDSreN6QO2t1IMcpKY1gprVr-l75oOsHOpOtKcMcq7fUI1yspjMj4ae6imtOoNGKayHEa7Rzfi4tB9C8eYMDYcBQDwGBkBkYhEEIAAvGB6m2aBUG2Wh4EmI5aDYUBiAwCBCAwDA_GUAJ9mgHnjjJg4ekuDBGYAUUgPAAAtGCOVQAD5tkuWhIHgRhGFENQDdl-BLkWHptaENxLBETxpHmdY1lAegZbl9RraNk2zcITnaB4KnkAt_WNGD5BaAia2dHDoRMssS5oGIShCCEZBwEYDgXa8a3jkuEucGQAB3UAAGUxkYa2RH0S4ekZ6BGEaHmWmQdoul6V3QHmXBCAAR02UBVg2ZAjmF0Xxcl_BJ4OX3QG77pEDrnnlcINZObXxBLdARA9bsEQm5bxgRCdzw5mAHol9eYkPHOeZGdAY2cCwD3yAgZBKbL7mPb8KANA19QCdCwFvamZdK6005gzRAX8dhMwXjgXW2wlbG1NjrMQUcRigGgEEdQOgFbSGUNTdQHBH7zB2DIWgMRQCkKMM4FQSdvAAGtgiZWSBAYgEh_j5HUIwAoBR2HxFvvAE-6dM7Z1zvnLh0gxYaHyAbHoOhSH6EvvQnA4AhFyJ8CLHWqitGWH-NIfBtssD20YDoIQPAqA0AYAYhhaJtiGPAI8UAohLBcMqKAcumst5bEYKQ0AAAeQ2axlAyGgJrK-oxxhkHwVUK-0AZBrHUBgdYOwvBoGIOUdm6hcFEGgBEgAXBIPBEdoBlIAOQADV1ibGqaASoeIhAAEEhCEB6GUnQ4g8HkHgMgGp49G
 mVHhOQDpXSyniBad4CJMhSHTNmdIRoaxGY9OqZ0Ce1SeDVLkMgZQOzQDVJQOAI5ez5DkGqfCRBewen_FweCaAAyhnHLWGwZAOyTGgBwJAWhNTyAcC-eCaQUBYBlMOE7bk0hO6QCrs80p5Tcka2DuQMpdhmk8BALfYgxBollOgIgTY0KOYa1YWU9-aw1j_GWecR55xnmDJqe8suwKQW_P-cc8g_A2XgjBZACFKixIwpQHChFry-nIrwKi9FmL-431oLi_FeCiXIBJT0WAeByU_KwFSmlXE8RZHgP4vA9zwR9PmGA_BpBvmMteSc5ABBeXnCZjITWVTQBvDLLa3JZT-DepBRUoQ0AADCpBObsGmRzcgiK-mc2DTUqu5dg5ayOZTKlNTOg0HLjgJpPjaVPMqWGnAlMZBRpYD0YO9QalsEreAT5mLvmkDwO8rVZTsD4CIKQDQ4jeGBtMak4IABCFJaxdHgloOQENmsWjQCbmMAA8nk0gddB0AH4hbwH4KAMpuSu04FiSC6o4Jj2gH0GgSo5MwAarJTnUALKF65O3eoR1M7EDQCVksLelwW2kGQIwPd9Qr5PrTsHCJBSg0euqSGumcCv7wrJXmrwIH2mdJUQ4YIhSXk1JgfTRmVy8SQDQwAFUIG28p6xCAyBwAAdWDprAAMpAboawCWqsbdIToxBcBQHgQAcRNu2zJyAL1PBA7cyexxvD0rtcyj5zqOX2sBc6m95HqkatYUc1TrD4XyFgWi45HtnWwvhTGiVm6UXPPRXKDj5x-UUvQ-e6QtKZPYbefJ7kimAU8u5NpmpGmtOap04S2DBnqlGe5CZ8VUapUytKt8WzoKYACp-UKpzzTSYeCAA), essentially redrawing the lines with new X-values with a fixed step (_smp_). 
   Number of points for each series:   original value = 58,  new categorical = 100.
   
   ![image](https://user-images.githubusercontent.com/13038071/235393636-1690aeac-0683-43ef-bf87-53ef15652539.png)
   
   
   


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