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Dear all,
I'm going to calculate industry process data and I'm trying to define a process phase based on the next table:
Time | Phase 1 | Valve | Phase 2 |
01:00 | 0 | ||
02:00 | 0 | ||
03:00 | 1 | ||
04:00 | 0 | ||
05:00 | Heating | 0 | |
06:00 | 0 | ||
07:00 | 0 | ||
08:00 | 0 | ||
09:00 | 1 | Cooling | |
10:00 | 0 |
Phase 1 is already successfully assigned with 'Heating'.
The problem is assigning Phase 2: it must be marked with 'Cooling' if Valve = 1.
However, Add Custom Phase 2 in Power M Query will not provide the solution:
if [Valve] = 1 then "Cooling" else null
This is not desired because, the column Phase 2 will mark two times 'Cooling' in the row where Valve = 1.
It must be only assigned in the column 'Phase 2' after 'Heating' in column Phase 1 has been passed.
So, do you know a solution, preventing that 'Cooling' will not appear at time = 3:00 but only at time = 09:00 hour since Heating at 05:00 has been passed?
Thank you and best regards,
Cornelis
Solved! Go to Solution.
Here’s how you can do it:
Add an Index Column to track row positions in Power Query. This helps to reference previous rows.
Create a Conditional Column (Phase 2) with a custom formula using the Table.AddColumn function and a List to check if "Heating" has appeared previously in the Phase 1 column.
let
Source = <YourSourceTable>,
AddIndex = Table.AddIndexColumn(Source, "Index", 1, 1, Int64.Type),
AddPhase2 = Table.AddColumn(AddIndex, "Phase 2", each if [Valve] = 1 and
List.Contains(List.FirstN(AddIndex[Phase 1], [Index] - 1), "Heating")
then "Cooling" else null),
RemoveIndex = Table.RemoveColumns(AddPhase2, {"Index"})
in
RemoveIndex
Hi @CornelisV ,
There are multiple ways to achieve your desired output. One approach is to use the Fill Down function in Power Query to fill down "Heating" in the Phase 1 column. Then, if a row in the Valve column has a value of 1, "Cooling" will be displayed in Phase 2 as shown below:
I have attached an example pbix file for your reference.
Best regards,
Hi,
This calculated column formula in DAX works
Column = if(CALCULATE(COUNTROWS(Data),FILTER(Data,Data[Time]<=EARLIER(Data[Time])&&Data[Phase 1]="Heating"))>0,if(Data[Valve]=1,"Cooling",BLANK()))
Hope this helps.
Hi,
This calculated column formula in DAX works
Column = if(CALCULATE(COUNTROWS(Data),FILTER(Data,Data[Time]<=EARLIER(Data[Time])&&Data[Phase 1]="Heating"))>0,if(Data[Valve]=1,"Cooling",BLANK()))
Hope this helps.
Hello @Ashish_Mathur ,
The DAX approach is quite different in comparison to M Query approach from @DataNinja777, but the outcome is the same
Thank you.
Hi @CornelisV ,
There are multiple ways to achieve your desired output. One approach is to use the Fill Down function in Power Query to fill down "Heating" in the Phase 1 column. Then, if a row in the Valve column has a value of 1, "Cooling" will be displayed in Phase 2 as shown below:
I have attached an example pbix file for your reference.
Best regards,
Hella @DataNinja777 ,
Thank you for your valueable contribution. This is exact what I'm looking for and the steps in Power M Query is not difficult to apply. Copy column, fill down and then apply a custom calculation 'Add column' is the fastest way.
Have a great day,
Cornelis
Here’s how you can do it:
Add an Index Column to track row positions in Power Query. This helps to reference previous rows.
Create a Conditional Column (Phase 2) with a custom formula using the Table.AddColumn function and a List to check if "Heating" has appeared previously in the Phase 1 column.
let
Source = <YourSourceTable>,
AddIndex = Table.AddIndexColumn(Source, "Index", 1, 1, Int64.Type),
AddPhase2 = Table.AddColumn(AddIndex, "Phase 2", each if [Valve] = 1 and
List.Contains(List.FirstN(AddIndex[Phase 1], [Index] - 1), "Heating")
then "Cooling" else null),
RemoveIndex = Table.RemoveColumns(AddPhase2, {"Index"})
in
RemoveIndex
Hi @rohit1991 ,
Also a good solution and a different approach in comparison to @Ashish_Mathur and @DataNinja777 . Especially the
List.Contains(List.FirstN(#"Added Index"[Phase 1]
is a new learning point for me.
Thank yoiu for your contribution.
Best regards,
Cornelis
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