cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Try the Materials Informatics Toolkit, which is designed to easily handle SMILES data. This and other helpful add-ins are available in the JMP® Marketplace
Choose Language Hide Translation Bar
scottdprm
Level II

Using a For Loop with X by Y plot

I am trying to recreate the script below using a loop (this script works, but I would like it to run as a loop so that it treats each data set the same way):

 

bivariate(
Y( :name( "1st Thickness PST" ) ),
 X( :site ),
By( :Lot ),
Fit Where( :Slot_id == 1, Fit Each Value( {Line Color( {213, 72, 87} )} ) ),
Fit Where( :Slot_id == 2, Fit Each Value( {Line Color( {57, 177, 67} )} ) ),
Fit Where( :Slot_id == 3, Fit Each Value( {Line Color( {64, 111, 223} )} ) ),
Fit Where( :Slot_id == 4, Fit Each Value( {Line Color( {207, 121, 38} )} ) ),
Fit Where( :Slot_id == 5, Fit Each Value( {Line Color( {33, 189, 145} )} ) ),
Fit Where( :Slot_id == 6, Fit Each Value( {Line Color( {161, 44, 220} )} ) ),
Fit Where( :Slot_id == 7, Fit Each Value( {Line Color( {200, 193, 39} )} ) ),
Fit Where( :Slot_id == 8, Fit Each Value( {Line Color( {31, 182, 182} )} ) ),
Fit Where( :Slot_id == 9, Fit Each Value( {Line Color( {201, 37, 205} )} ) ),
Fit Where( :Slot_id == 10, Fit Each Value( {Line Color( {145, 183, 32} )} ) ),
Fit Where( :Slot_id == 11, Fit Each Value( {Line Color( {35, 157, 195} )} ) ),
Fit Where( :Slot_id == 12, Fit Each Value( {Line Color( {210, 38, 158} )} ) ),
Fit Where( :Slot_id == 13, Fit Each Value( {Line Color( {141, 165, 48} )} ) ),
Fit Where( :Slot_id == 14, Fit Each Value( {Line Color( {106, 191, 140} )} ) ),
Fit Where( :Slot_id == 15, Fit Each Value( {Line Color( {23, 67, 132} )} ) ),
Fit Where( :Slot_id == 16, Fit Each Value( {Line Color( {144, 81, 160} )} ) ),
Fit Where( :Slot_id == 17, Fit Each Value( {Line Color( {220, 133, 105} )} ) ),
Fit Where( :Slot_id == 18, Fit Each Value( {Line Color( {97, 136, 48} )} ) ),
Fit Where( :Slot_id == 19, Fit Each Value( {Line Color( {41, 228, 161} )} ) ),
Fit Where( :Slot_id == 20, Fit Each Value( {Line Color( {155, 162, 199} )} ) ),
Fit Where( :Slot_id == 21, Fit Each Value( {Line Color( {109, 28, 105} )} ) ),
Fit Where( :Slot_id == 22, Fit Each Value( {Line Color( {160, 109, 62} )} ) ),
Fit Where( :Slot_id == 23, Fit Each Value( {Line Color( {127, 228, 79} )} ) ),
Fit Where( :Slot_id == 24, Fit Each Value( {Line Color( {53, 113, 105} )} ) ),
Fit Where( :Slot_id == 25, Fit Each Value( {Line Color( {55, 42, 208} )} ) ),
 SendToReport(
Dispatch( {}, "1", ScaleBox, {Label Row( Show Major Grid( 1 ) )} ),
Dispatch( {}, "2", ScaleBox, {Minor Ticks( 1 ), Label Row( Show Major Grid( 1 ) )} ),
Dispatch( {}, "Bivar Plot", FrameBox, {Frame Size( 655, 344 ), Marker Size( 3 )} )
)
);

 This generates the data that I need but I don't understand why the script below does not. It will generate a plot but without "fit each value" lines and color assignments for each slot_id in the loop

R = [213, 57, 64, 207, 33, 161, 200, 31, 201, 145, 35, 210, 141, 106, 23, 144, 220, 97, 41, 155, 109, 160, 127, 53, 55];
G = [72, 177, 111, 121, 189, 44, 193, 182, 37, 183, 157, 38, 165, 191, 67, 81, 133, 136, 228, 162, 28, 109, 228, 113, 42];
B = [87, 67, 223, 38, 145, 220, 39, 182, 205, 32, 195, 158, 48, 140, 132, 160, 105, 48, 161, 199, 105, 62, 79, 105, 208];
SlotNums = Associative Array( :slot_id );
UniqueSlots = slotnums << get keys;
For( i = 1, i <= N Items( uniqueslots ), i++,
If( i == 1,
lines = Eval(
"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) || ", " || Char( G[i] ) ||
", " || Char( B[i] ) || "} )} )),"
 )
);
If( i < N Items( uniqueslots ),
Lines = Char( lines ) || Eval(
"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) || ", " || Char( G[i] ) ||
", " || Char( B[i] ) || "} )} )),"
 )
);
If( i == N Items( uniqueslots ),
Lines = Char( lines ) || Eval(
"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) || ", " || Char( G[i] ) ||
", " || Char( B[i] ) || "} )} ))"
 )
 );
);
 
bivariate(
Y( :name( "1st Thickness PST" ) ),
 
X( :site ),
By( :Lot ),
Parse( lines ),
 
SendToReport(
Dispatch( {}, "1", ScaleBox, {Label Row( Show Major Grid( 1 ) )} ),
Dispatch( {}, "2", ScaleBox, {Minor Ticks( 1 ), Label Row( Show Major Grid( 1 ) )} ),
Dispatch( {}, "Bivar Plot", FrameBox, {Frame Size( 655, 344 ), Marker Size( 3 )} )
 
)
);

 Can anyone suggest a method for getting this to work?

1 ACCEPTED SOLUTION

Accepted Solutions
txnelson
Super User

Re: Using a For Loop with X by Y plot

It appears that the parsing of your code is not connecting the "Lines".  The following solution will get what you want

R = [213, 57, 64, 207, 33, 161, 200, 31, 201, 145, 35, 210, 141, 106, 23, 144, 220, 97, 41, 155, 109, 160, 127, 53, 55];
G = [72, 177, 111, 121, 189, 44, 193, 182, 37, 183, 157, 38, 165, 191, 67, 81, 133, 136, 228, 162, 28, 109, 228, 113, 42];
B = [87, 67, 223, 38, 145, 220, 39, 182, 205, 32, 195, 158, 48, 140, 132, 160, 105, 48, 161, 199, 105, 62, 79, 105, 208];
SlotNums = Associative Array( :slot_id );
UniqueSlots = slotnums << get keys;
For( i = 1, i <= N Items( uniqueslots ), i++,
	If( i == 1,
		lines = Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} )),"
		)
	);
	If( i < N Items( uniqueslots ),
		Lines = Char( lines ) || Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} )),"
		)
	);
	If( i == N Items( uniqueslots ),
		Lines = Char( lines ) || Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} ))"
		)
	);
);
 
Eval(
	Parse(
		"bivariate(
	Y( :name( \!"1st Thickness PST\!" ) ), 
 
	X( :site ),
	By( :Lot ),
	" || lines ||
		"), 
 
	SendToReport(
		Dispatch( {}, \!"1\!", ScaleBox, {Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, \!"2\!", ScaleBox, {Minor Ticks( 1 ), Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, \!"Bivar Plot\!", FrameBox, {Frame Size( 655, 344 ), Marker Size( 3 )} )
 
	)
);"
	)
);
Jim

View solution in original post

3 REPLIES 3
txnelson
Super User

Re: Using a For Loop with X by Y plot

It appears that the parsing of your code is not connecting the "Lines".  The following solution will get what you want

R = [213, 57, 64, 207, 33, 161, 200, 31, 201, 145, 35, 210, 141, 106, 23, 144, 220, 97, 41, 155, 109, 160, 127, 53, 55];
G = [72, 177, 111, 121, 189, 44, 193, 182, 37, 183, 157, 38, 165, 191, 67, 81, 133, 136, 228, 162, 28, 109, 228, 113, 42];
B = [87, 67, 223, 38, 145, 220, 39, 182, 205, 32, 195, 158, 48, 140, 132, 160, 105, 48, 161, 199, 105, 62, 79, 105, 208];
SlotNums = Associative Array( :slot_id );
UniqueSlots = slotnums << get keys;
For( i = 1, i <= N Items( uniqueslots ), i++,
	If( i == 1,
		lines = Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} )),"
		)
	);
	If( i < N Items( uniqueslots ),
		Lines = Char( lines ) || Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} )),"
		)
	);
	If( i == N Items( uniqueslots ),
		Lines = Char( lines ) || Eval(
			"Fitwhere(:Slot_id == " || Char( uniqueslots[i] ) || ", " || "Fit Each Value( {Line Color( {" || Char( R[i] ) ||
			", " || Char( G[i] ) || ", " || Char( B[i] ) || "} )} ))"
		)
	);
);
 
Eval(
	Parse(
		"bivariate(
	Y( :name( \!"1st Thickness PST\!" ) ), 
 
	X( :site ),
	By( :Lot ),
	" || lines ||
		"), 
 
	SendToReport(
		Dispatch( {}, \!"1\!", ScaleBox, {Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, \!"2\!", ScaleBox, {Minor Ticks( 1 ), Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, \!"Bivar Plot\!", FrameBox, {Frame Size( 655, 344 ), Marker Size( 3 )} )
 
	)
);"
	)
);
Jim
scottdprm
Level II

Re: Using a For Loop with X by Y plot

This works.  Thank you!

ih
Super User (Alumni) ih
Super User (Alumni)

Re: Using a For Loop with X by Y plot

I am late to the party but here is another way that uses Eval( Parse () ) on smaller strings.  This might be easier to debug.  If you only want to see the visualization another option might be to use graph builder (bottom of this script).

names default to here( 1 ) ;

//Sample data, add some categorical colums
dt = open( "$SAMPLE_DATA/football.jmp" );

dt << New Column( "Height Binned",
	Numeric, "Ordinal", Format( "Best", 12 ),
	Formula( Round( :Height * 2, -1 ) ) );

dt << New Column( "Weight Binned",
	Numeric, "Ordinal", Format( "Best", 12 ),
	Formula( Round( :Weight, -1 ) ) );

//colors
ColorList = {
	[213, 72, 87], [57, 177, 67], 
	[64, 111, 223], [33, 121, 38]
};

Color = function( {n}, ColorList[ mod(n, n items( ColorList ) ) ] );

//base plot
bv = dt << Bivariate(
	Y( :Speed ),
	X( :Weight Binned ),
	By( :Position2 ),
	SendToReport(
		Dispatch( {}, "1", ScaleBox, {Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, "2", ScaleBox, {Minor Ticks( 1 ), Label Row( Show Major Grid( 1 ) )} ),
		Dispatch( {}, "Bivar Plot", FrameBox, {Frame Size( 655, 344 ), Marker Size( 3 )} )
	)
);

//get list of bins to fit, remove missing values
bincol = "Height Binned";
bins = (Associative Array( column(dt, bincol) ) << get keys);

//add each bin to the chart
if( ( N Items( bins ) > 0 ) ,
	for( i = 1, i <= N Items( bins ), i++,
		s = "bv << Fit Where( " ||
			if( is missing( bins[i] ), 
				"is missing( :Name( \!"" || bincol || "\!" ) )",
				":Name( \!"" || bincol || "\!" ) == " || 
					char( bins[i] )
			) || 
			", Fit Each Value( Color( " || char( i ) || " ) ) )";
		show(s);
		Eval( Parse( s ) );
	)
);

//Graph builder option
dt << Graph Builder(
	Size( 425, 580 ),
	Show Control Panel( 0 ),
	Variables(
		X( :Weight Binned ),
		Y( :Speed ),
		Group Y( :Position2 ),
		Overlay( :Height Binned )
	),
	Elements( Line( X, Y, Legend( 17 ) ), Points( X, Y, Legend( 18 ) ) )
);