upper : name, procedure, list(procedure, anything); specifies the type of plot to use in the upper triangle of the grid of plots. The default is Statistics:-ScatterPlot. If this is set to none, the upper triangle is empty. If a procedure or Maple command is entered, the upper triangle is filled with the results of using the procedure on the ith and jth columns of data. If a procedure is entered as the first value of a list, subsequent arguments are passed to the procedure.

lower : name, procedure, list(procedure, anything); specifies the type of plot to use in the lower triangle of the grid of plots. The default is upper, which uses the same output as the upper triangle. If this is set to none, the lower triangle is empty. If a procedure or Maple command is entered, the lower triangle is filled with the results of using the procedure on the ith and jth columns of data. If a procedure is entered as the first value of a list, subsequent arguments are passed to the procedure.

diagonal : name, procedure, list(procedure, anything); specifies the type of plot or value to use on the diagonal of the grid of plots. The default is labels, which uses either the value of the labels option, the DataFrame column names, or a list of values corresponding to the column index value. If a procedure or Maple command is entered, the diagonal is filled with the results of using the procedure on the ith columns of data. In this case, labels are passed as titles to the procedure. If a procedure is entered as the first value of a list, subsequent arguments are passed to the procedure.

labels : list; a list of values corresponding to each of the columns of data. If the dataset is stored in a DataFrame, the labels are automatically generated using the column names and can be overridden using the labels option.

correlation : list(truefalse, truefalse, truefalse); A three element list containing truefalse values that specify if the values from the Statistics:-CorrelationMatrix command should be used. The default is [false, false, false]. The elements in the list correspond to using the values from the correlation matrix on [ upper, lower, diagonal ] respectively.

plotoptions : list(exprseq); A list containing optional arguments of the form, plot attribute = value, to be passed to all plots in GridPlot.

$\mathrm{with}\left(\mathrm{Statistics}\right)\:$

$\mathrm{data}≔\mathrm{Sample}\left(\mathrm{Uniform}\left(0\,1\right)\,\left[50\,3\right]\right)\:$

$\mathrm{GridPlot}\left(\mathrm{data}\right)$

$''Tabulate''$

$\mathrm{GridPlot}\left(\mathrm{data}\,\mathrm{plotoptions}=\left[\mathrm{symbol}=\mathrm{solidbox}\,\mathrm{symbolsize}=20\,\mathrm{color}=''Orange''\right]\,\mathrm{width}=40\right)$

$''Tabulate0''$

$\mathrm{IrisData}≔\mathrm{Import}\left(''datasets/iris.csv''\,\mathrm{base}=\mathrm{datadir}\right)$

$\mathrm{GridPlot}\left(\mathrm{IrisData}\left[1..4\right]\,\mathrm{upper}='\mathrm{ScatterPlot}'\,\mathrm{lower}=\left['\mathrm{AgglomeratedPlot}'\,\mathrm{color}=''Crimson''\right]\,\mathrm{plotoptions}=\left[\mathrm{color}=''Grey''\right]\,\mathrm{width}=600\,\mathrm{widthmode}=\mathrm{pixels}\right)$

$''Tabulate1''$

$\mathrm{SpeciesColors}≔\mathrm{map}\left(t\mapsto \mathrm{piecewise}\left(t=''setosa''\,''DarkGreen''\,t=''versicolor''\,''MediumSlateBlue''\,t=''virginica''\,''MediumVioletRed''\right)\,\mathrm{convert}\left(\mathrm{IrisData}\left[\mathrm{Species}\right]\,\mathrm{Vector}\right)\right)\:$

$\mathrm{GridPlot}\left(\mathrm{IrisData}\left[1..4\right]\&comma;\mathrm{upper}=\left['\mathrm{plots}:-\mathrm{pointplot}'\&comma;\mathrm{color}=\mathrm{SpeciesColors}\right]\&comma;\mathrm{diagonal}=\left['\mathrm{Histogram}'\&comma;\mathrm{style}=\mathrm{polygon}\right]\&comma;\mathrm{lower}=\mathrm{none}\&comma;\mathrm{width}=600\&comma;\mathrm{widthmode}=\mathrm{pixels}\&comma;\mathrm{`=`}\left(\mathrm{fillcolor}\&comma;\left(T\&comma;i\&comma;j\right)\mapsto \mathrm{piecewise}\left(j<i\&comma;\mathrm{ColorTools}:-\mathrm{ToRGB24}\left(\mathrm{ColorTools}:-\mathrm{Blend}\left(\left[''White''\&comma;''Grey''\right]\&comma;\mathrm{abs}\left(\mathrm{Statistics}:-\mathrm{CorrelationMatrix}\left(\mathrm{convert}\left(\mathrm{IrisData}\left[1..4\right]\&comma;\mathrm{Matrix}\right)\right)\left[i,j\right]\right)\right)\right)\&comma;i\le j\&comma;\left[255\&comma;255\&comma;255\right]\right)\right)\right)$

$''Tabulate2''$

$\mathrm{GridPlot}\left(\mathrm{IrisData}\left[1..4\right]\&comma;\mathrm{upper}=\left['\mathrm{plots}:-\mathrm{pointplot}'\&comma;\mathrm{color}=\mathrm{SpeciesColors}\right]\&comma;\mathrm{lower}='x\mapsto \mathrm{Statistics}:-\mathrm{PieChart}\left(\left[''''=\mathrm{abs}\left(x\right)\&comma;''''=1-\mathrm{abs}\left(x\right)\right]\&comma;\mathrm{color}=\left[''CornflowerBlue''\&comma;''WhiteSmoke''\right]\&comma;\mathrm{title}=\mathrm{evalf}\left[3\right]\left(x\right)\&comma;\mathrm{size}=\left[100\&comma;100\right]\right)'\&comma;\mathrm{correlation}=\left[\mathrm{false}\&comma;\mathrm{true}\&comma;\mathrm{false}\right]\&comma;\mathrm{width}=600\&comma;\mathrm{widthmode}=\mathrm{pixels}\right)$

$''Tabulate3''$

The Statistics[GridPlot] command was introduced in Maple 2016.

For more information on Maple 2016 changes, see Updates in Maple 2016.