I'm sure I'm missing something simple here but I am trying to use .remove on an array but I keep getting an error saying the object is not in the array even though it is. tableData = self.getSibling("Table").props.data system.perspective.print(tableData) selectedRow = self.getSibling("Table").pro…

Does an ArrayWrapper act different than a normal array? I seem to be able to use array methods on ArrayWrappers as if it is an array.

I'm not super familiar with this stuff, but it looks like the issue might be that ObjectWrapper doesn't have equality implemented on it, so the array removal can't determine if one element is equal to another or not.

[image] Gavin_Tipker: Does an ArrayWrapper act different than a normal array? Yes, mostly because python and jython by extension doesn't have "arrays" it has lists or sequences if you want to be more accurate. The ArrayWrapper class is a wrapper which in this case facilitates writing back to…

So the actual use for this is a little more complicated. I have some custom filters set up on a table. In order to use multiple filters at the same time I save the original table data to an "OriginalData" custom property. Then when you delete one of your filters it can pull back in the original data…

tableData = self.getSibling("Table").props.data system.perspective.print(tableData) selectedRow = self.getSibling("Table").props.selection.data system.perspective.print(selectedRow[0]) tableData.remove({u'country': u'United States', u'city': u'San Diego', u'population': 1406630L}) I even tried …

Is it because that is a regular dataset and not a python dataset? pyData = system.dataset.toPyDataSet( ) Datasets - Ignition User Manual 8.1 - Ignition Documentation ]

I tried that and get this error TypeError: toPyDataSet(): 1st arg can't be coerced to com.inductiveautomation.ignition.common.Dataset

system.dataset.deleteRow - Ignition User Manual 8.1 - Ignition Documentation ]

I thought about that as well but I won't know the row index of the array I need to delete from because it'll be different than the displayed table since the table is filtered.

print(type(tableData)) Something made your data that arraywrapper object. Might be better off to get a dataset or to append into one. Sorry, I didn't understand what LRose was saying at first, and I wanted to learn as well why .remove didn't work. headers = ["City", "Population", "Timezone", "G…

Issue with .remove on array

Ignition

justin.brzozoski June 7, 2023, 7:27pm 22

I feel like this duck analogy is in order again...