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Hi @Jack_Machesky ,
I think the difficulty here comes in the fact that the widget.TransformPivot() function only has access to a cell at a time - so it becomes more difficult to say something like 'make this cell colour x because the previous cells value was y'.
I did work around this by implementing a 'storage' in the widget for the TransformPivot function to rely on:
widget.transformPivot(
{
type: ['value']
},
function (metadata, cell) {
if (!widget.conditions) { widget.conditions = [] }
if (widget.conditions.includes(metadata.rowIndex)) {
cell.style = {
background: 'red'
}
return
}
if (metadata.measure.title !== "Total StoreID") { return }
if (Number(cell.value) > 3000) {
widget.conditions.push(metadata.rowIndex)
cell.style = {
background: 'red'
}
} else {
widget.conditions.splice(widget.conditions.indexOf(metadata.rowIndex), 1)
}
}
)What we're doing in the above widget script is:
- creating an empty conditions array at the widget level if it doesn't already exist to add all the row indexes we want to colour,
- checking to see if the current cell lives in a row index that we want to conditionally colour,
- checking to see if the current cell should be the one we're using to set the rule (is this in the Total StoreID column?)
- and if we're in the right column, is the value such that we want to colour the row
- and if it is, then we colour the cell and then add it to our conditions array for future cells to reference and then lastly,
- if it's not, then we remove it from the conditions array (because our rows change when we change pages).
Limitation here is that it will only colour cells processed after the 'set the rule cell', meaning if you'd like to highlight the whole row - you should add the conditional metric as the top item of the values shelf.
This can be replicated using the above configuration on the Sample Retail dataset.
Let me know how you go?
