# Table Column Binding

**URL:** <https://forum.inductiveautomation.com/t/table-column-binding/2177>\
**Category:** Ignition\
**Created:** [September 8, 2010, 4:36pm UTC](https://forum.inductiveautomation.com/t/table-column-binding/2177 "2010-09-08T16:36:52Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![jconnor34](https://avatars.discourse-cdn.com/v4/letter/j/c4cdca/32.png) [@jconnor34](https://forum.inductiveautomation.com/u/jconnor34)\
**Post date:** [September 8, 2010, 4:36pm UTC](https://forum.inductiveautomation.com/t/table-column-binding/2177/1 "2010-09-08T16:36:52Z")

</div>

Is there a way to bind columns in a table to different sources? For example, I have a table for setting motor frequencies on about 50 drives. The first column in the table is the motor description which I want to bind to a database table. The second column is the drive freq set-point which I would like to bind to a PLC dataset. I currently appears that the table control can only bind to one source for all the column data.

Thanks

---

<div class="post-metadata">

**Author:** ![Travis.Cox](https://avatars.discourse-cdn.com/v4/letter/t/b9bd4f/32.png) [@Travis.Cox](https://forum.inductiveautomation.com/u/Travis.Cox)\
**Post date:** [September 8, 2010, 5:00pm UTC](https://forum.inductiveautomation.com/t/table-column-binding/2177/2 "2010-09-08T17:00:09Z")

</div>

In this case you do have to create a new dataset in scripting. For example, you can bring back all of the descriptions in a dynamic property dataset. On a property change you can loop through that dataset creating a new one sticking in the tag values. At the end you can set the table to the newly created dataset. Here is an example to get you started:`if event.propertyName == "ds":
    ds = system.dataset.toPyDataSet(event.newValue)
    headers = ["Description", "Value"]
    newData = []
    for row in ds:
        newData.append([row[0], system.tag.getTagValue("SomePath")])
    event.source.parent.getComponent("Table").data = system.dataset.toDataSet(headers, newData)`