Loop through cols/rows of two separate tables for getting arguments into a function

Neo

I have got a working function which plots trends and distribution for measured parameters (columns in a table1) using test limits (LSL, USL in another table, table2).

 

Names Default To Here (1);

getTrendChartAndDist = Function({colName, LSL, USL}, {TrendDistChart},

New Window(""||colName||" Trend & Distribution",

Graph Builder(
	something here .....
);

return(TrendDistChart);
);

In order to plot the charts for all measured parameters, now need to loop through each column of a data table to go into "colName" (say col 3 to col 9 for the measured parameters in table1) and simultaneously get the limits (LSL and USL) for each colName from another table, table2 (table2 has each measured parameter in rows, with LSL and USL in separate columns). I am messing up the simultaneous looping. How to go about this? Any help is appreciated. 

Jed_Campbell

Is something like this what you're looking for?

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Names Default To Here (1);
//make data tables
dt1 = New Table( "dt1",
	Add Rows( 1 ),
	New Column( "A",
		Numeric,
		"Continuous",
		Format( "Best", 12 ),
		Set Values( [1] )
	),
	New Column( "B",
		Numeric,
		"Continuous",
		Format( "Best", 12 ),
		Set Values( [1] )
	),
	New Column( "C",
		Numeric,
		"Continuous",
		Format( "Best", 12 ),
		Set Values( [1] )
	)
);
dt2 = New Table( "dt2",
	Add Rows( 3 ),
	New Column( "X",
		Character,
		"Nominal",
		Set Values( {"A", "B", "C"} ),
		Set Display Width( 56 )
	),
	New Column( "Y",
		Numeric,
		"Continuous",
		Format( "Best", 12 ),
		Set Values( [5, 5, 5] )
	)
);

current data table(dt1); //the Column Name function used below relies on current data table
//cycle through tables
for each ({i}, 1::3, // <--change to 3::9 
	n = char(Column Name(i));
	dt2 << Select where (:X == n);
	r = (dt2 << Get Selected Rows())[1]; //find row number in dt2
	val = dt2:Y[r]; //get value from dt2
	wait (.25);	//<--replace with your code
);