# Cropped ternary diagram template

Thu, 01/31/2019 - 04:55 am

Snippet to generate a ternary diagram template. The ternary can be "full" or cropped, such that the top corner can be truncated at fractional values from 0.3 to 0.7 (in 0.1 increments). Cropping below or above that doesn't make much sense to me, but it could easily be added.

The function ConvMatrix2Ternary(M_Data) converts a 3-column data matrix in to a 2-column converted matrix that is compatible with ternary coordinates.

EDIT Jan 22nd 2019:

The initial code below contained a bug: The diagram coordinates and grid points need to be converted by multiplying the values of M_TernaryTemplate with cos(30*pi/180) and not, as initially posted, by dividing it. This has been fixed below. Sorry for any inconvenience.

// was crop specified? If not, default is the full ternary

crop = ParamIsDefault(crop) ? 10 : Crop*10

// aspect ratio of the ternary plot

variable aspectRatio

switch(crop)

case 10 :

Make/D/O/N=(37,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.5,0}

M_TernaryTemplate[0][1]= {0,0,1,0}

M_TernaryTemplate[0][2]= {0.05,0.1,0.55,0.45,0.9,0.95,0.05,NaN,0.1,0.2,0.2,0.6,0.4,0.8,0.9,0.1,NaN,0.15,0.3,0.65,0.35,0.7,0.85,0.15,NaN,0.2,0.4,0.7,0.3,0.6,0.8,0.2,NaN,0.25,0.5,0.75,0.25}

M_TernaryTemplate[0][3]= {0.1,0,0.9,0.9,0,0.1,0.1,NaN,0.2,0,0,0.8,0.8,0,0.2,0.2,NaN,0.3,0,0.7,0.7,0,0.3,0.3,NaN,0.4,0,0.6,0.6,0,0.4,0.4,NaN,0.5,0,0.5,0.5}

aspectRatio = 1.25

break

case 3 :

Make/D/O/N=(44,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.85,0.15,0}

M_TernaryTemplate[0][1]= {0,0,0.3,0.3,0}

M_TernaryTemplate[0][2]= {0.05,0.95,NaN,0.1,0.9,NaN,0.15,0.85,NaN,0.05,0.1,0.25,NaN,0.1,0.2,0.35,NaN,0.15,0.3,0.45,NaN,0.25,0.4,0.55,NaN,0.35,0.5,0.65,NaN,0.45,0.6,0.75,NaN,0.55,0.7,0.85,NaN,0.65,0.8,0.9,NaN,0.75,0.9,0.95}

M_TernaryTemplate[0][3]= {0.1,0.1,NaN,0.2,0.2,NaN,0.3,0.3,NaN,0.1,0,0.3,NaN,0.2,0,0.3,NaN,0.3,0,0.3,NaN,0.3,0,0.3,NaN,0.3,0,0.3,NaN,0.3,0,0.3,NaN,0.3,0,0.3,NaN,0.3,0,0.2,NaN,0.3,0,0.1}

aspectRatio = 3

break

case 4 :

Make/D/O/N=(47,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.8,0.2,0}

M_TernaryTemplate[0][1]= {0,0,0.4,0.4,0}

M_TernaryTemplate[0][2]= {0.05,0.95,NaN,0.1,0.9,NaN,0.15,0.85,NaN,0.2,0.8,NaN,0.05,0.1,0.3,NaN,0.1,0.2,0.4,NaN,0.15,0.3,0.5,NaN,0.2,0.4,0.6,NaN,0.3,0.5,0.7,NaN,0.4,0.6,0.8,NaN,0.5,0.7,0.85,NaN,0.6,0.8,0.9,NaN,0.7,0.9,0.95}

M_TernaryTemplate[0][3]= {0.1,0.1,NaN,0.2,0.2,NaN,0.3,0.3,NaN,0.4,0.4,NaN,0.1,0,0.4,NaN,0.2,0,0.4,NaN,0.3,0,0.4,NaN,0.4,0,0.4,NaN,0.4,0,0.4,NaN,0.4,0,0.4,NaN,0.4,0,0.3,NaN,0.4,0,0.2,NaN,0.4,0,0.1}

aspectRatio = 2.85

break

case 5 :

Make/D/O/N=(50,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.75,0.25,0}

M_TernaryTemplate[0][1]= {0,0,0.5,0.5,0}

M_TernaryTemplate[0][2]= {0.05,0.95,NaN,0.1,0.9,NaN,0.15,0.85,NaN,0.2,0.8,NaN,0.25,0.75,NaN,0.05,0.1,0.35,NaN,0.1,0.2,0.45,NaN,0.15,0.3,0.55,NaN,0.2,0.4,0.65,NaN,0.25,0.5,0.75,NaN,0.35,0.6,0.8,NaN,0.45,0.7,0.85,NaN}

M_TernaryTemplate[43][2]= {0.55,0.8,0.9,NaN,0.65,0.9,0.95}

M_TernaryTemplate[0][3]= {0.1,0.1,NaN,0.2,0.2,NaN,0.3,0.3,NaN,0.4,0.4,NaN,0.5,0.5,NaN,0.1,0,0.5,NaN,0.2,0,0.5,NaN,0.3,0,0.5,NaN,0.4,0,0.5,NaN,0.5,0,0.5,NaN,0.5,0,0.4,NaN,0.5,0,0.3,NaN,0.5,0,0.2,NaN,0.5,0,0.1}

aspectRatio = 2.5

break

case 6 :

Make/D/O/N=(53,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.7,0.3,0}

M_TernaryTemplate[0][1]= {0,0,0.6,0.6,0}

M_TernaryTemplate[0][2]= {0.05,0.95,NaN,0.1,0.9,NaN,0.15,0.85,NaN,0.2,0.8,NaN,0.25,0.75,NaN,0.3,0.7,NaN,0.05,0.1,0.4,NaN,0.1,0.2,0.5,NaN,0.15,0.3,0.6,NaN,0.2,0.4,0.7,NaN,0.25,0.5,0.75,NaN,0.3,0.6,0.8,NaN,0.4,0.7,0.85}

M_TernaryTemplate[45][2]= {NaN,0.5,0.8,0.9,NaN,0.6,0.9,0.95}

M_TernaryTemplate[0][3]= {0.1,0.1,NaN,0.2,0.2,NaN,0.3,0.3,NaN,0.4,0.4,NaN,0.5,0.5,NaN,0.6,0.6,NaN,0.1,0,0.6,NaN,0.2,0,0.6,NaN,0.3,0,0.6,NaN,0.4,0,0.6,NaN,0.5,0,0.5,NaN,0.6,0,0.4,NaN,0.6,0,0.3,NaN,0.6,0,0.2,NaN,0.6,0,0.1}

aspectRatio = 2

break

case 7 :

Make/D/O/N=(53,4) M_TernaryTemplate = NaN

M_TernaryTemplate[0][0]= {0,1,0.65,0.35,0}

M_TernaryTemplate[0][1]= {0,0,0.7,0.7,0}

M_TernaryTemplate[0][2]= {0.05,0.95,NaN,0.1,0.9,NaN,0.15,0.85,NaN,0.2,0.8,NaN,0.25,0.75,NaN,0.3,0.7,NaN,0.05,0.1,0.45,NaN,0.1,0.2,0.55,NaN,0.15,0.3,0.65,NaN,0.2,0.4,0.7,NaN,0.25,0.5,0.75,NaN,0.3,0.6,0.8,NaN,0.35,0.7}

M_TernaryTemplate[44][2]= {0.85,NaN,0.45,0.8,0.9,NaN,0.55,0.9,0.95}

M_TernaryTemplate[0][3]= {0.1,0.1,NaN,0.2,0.2,NaN,0.3,0.3,NaN,0.4,0.4,NaN,0.5,0.5,NaN,0.6,0.6,NaN,0.1,0,0.7,NaN,0.2,0,0.7,NaN,0.3,0,0.7,NaN,0.4,0,0.6,NaN,0.5,0,0.5,NaN,0.6,0,0.4,NaN,0.7,0,0.3,NaN,0.7,0,0.2,NaN,0.7,0,0.1}

aspectRatio = 1.75

break

default:

DoAlert 0, "Sorry, that crop-value is not supported!"

return -1

endswitch

// convert Y (columns 1 and 3) to ternary coordinates

variable factor = cos(30*pi/180)

M_ternaryTemplate[][1] *= factor

M_ternaryTemplate[][3] *= factor

// display ternary if it doesn't exist

DoWindow/F Ternary

if(!V_flag)

Display/N=Ternary M_TernaryTemplate[][1] vs M_TernaryTemplate[][0]

ModifyGraph noLabel=2,axThick=0, rgb=(0,0,0), lsize(M_TernaryTemplate)=2

ModifyGraph margin=50

// append grid

AppendToGraph M_TernaryTemplate[][3] vs M_TernaryTemplate[][2]

ModifyGraph rgb(M_TernaryTemplate#1)=(16385,28398,65535), lstyle(M_TernaryTemplate#1)=1

endif

ModifyGraph width={Aspect,aspectRatio}

return 1

end

function ConvMatrix2Ternary(M_Data)

// M_Data needs to be organised: left [][0], right [][1], top[][2] of the ternary

wave M_Data

// Make temp wave: normalise in case it isn't and/or turn to fractions

Duplicate/O/FREE M_Data, M_temp

MatrixOP/FREE W_Sum = sumRows(M_temp)

M_temp = M_temp[p][q] / W_Sum[p]

// make output wave M_XY

Make/D/O/N=(DimSize(M_Data,0), 2) M_XY

// Do transformation to ternary coordinates;

// Then use: AppendToGraph M_xy[][1] vs M_xy[][0] to add to ternary template

M_XY[][0] = 0.5 * M_temp[p][2] + M_temp[p][1]

M_XY[][1] = M_temp[p][2] * cos(30 * (pi/180))

end

Usage:

Make/D/O/N=(19,3) M_Data

M_Data[0][0]= {62.9,51.5,60.1,63.5,44.6,56.8,43.3,74.1,0.3,1.2,52.4,66.1,63.3,54.1,73.3,0.3,0.3,89.7,88.5}

M_Data[0][1]= {34.5,45.3,36.8,34.4,52.4,41.8,50.2,19.6,69.8,54.1,40.1,29.8,32.9,39.4,20.9,65.6,45.2,4.1,5.4}

M_Data[0][2]= {2.6,3.2,3.1,2.1,3,1.4,2.3,1,15.1,14,1,1.4,1.6,2.4,0.8,15.9,30.5,4.8,4.2}

// convert data

ConvMatrix2Ternary(M_Data)

// generate template

MakeTernaryTemplate(crop=0.5)

// append converted data

AppendToGraph M_xy[][1] vs M_xy[][0]

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