# Functionality on list 2 individual list component **URL:** \ **Category:** Ignition\ **Tags:** perspective, scripting\ **Created:** [December 7, 2023, 1:58pm UTC](https://forum.inductiveautomation.com/t/functionality-on-list-2-individual-list-component/82840 "2023-12-07T13:58:00Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Mohd\_Waqas](https://avatars.discourse-cdn.com/v4/letter/m/f9ae1b/32.png) [@Mohd\_Waqas](https://forum.inductiveautomation.com/u/Mohd_Waqas)\ **Post date:** [December 7, 2023, 1:58pm UTC](https://forum.inductiveautomation.com/t/functionality-on-list-2-individual-list-component/82840/1 "2023-12-07T13:58:00Z")
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) Above is the image like when select air in left list component and click on green arrow button the data is tranfer to right list component and vice-versa. How this functionality will be executable in ignition point of view. ---
**Author:** ![bkarabinchak.psi](https://sea1.discourse-cdn.com/inductiveautomation/user_avatar/forum.inductiveautomation.com/bkarabinchak.psi/32/83567_2.png) [@bkarabinchak.psi](https://forum.inductiveautomation.com/u/bkarabinchak.psi)\ **Post date:** [December 7, 2023, 3:42pm UTC](https://forum.inductiveautomation.com/t/functionality-on-list-2-individual-list-component/82840/2 "2023-12-07T15:42:05Z")
If you use components that can display datasets like a table, I was able to accomplish like so via a script on the button - ```auto origTableData = self.getSibling("Table").props.data row = self.getSibling("Table").props.selection.selectedRow rowData = system.dataset.toPyDataSet(origTableData)[row] self.getSibling("Table_0").props.data = system.dataset.addRow(self.getSibling("Table_0").props.data, rowData) ``` It's important they have the same number of column and names.