The options argument can contain one or more of the options shown below. All unrecognized options will be passed to the plots[display] command. See plot/options for details.

color : list or range

Specifies colors for the individual data sets. When a range of colors is given, the color associated with a datum is generated by interpolating between the two named colors based on the range of values in the data. For example if color=red..blue then the minimum values in the data will be red and the maximum values blue. If a list of colors is provided, the color associated with a datum is generated by interpolating uniformly through all named colors.

range : range, list of ranges, all, or bycolumn;

The option range indicates that the data is to interpreted as being in a specified range and also controls whether the mapping from value to color is applied to each column independently or to the data as a whole.

When ranges are inferred, the minimum data value and the maximum data value from the data are used. If a specified range is used and data values are outside of this range, they are truncated to nearest endpoint of the specified range.

columnlabels : list

Specifies the labels corresponding to each column. The list can contain either strings or names.

rowlabels : list

Specifies the labels corresponding to each row. The list can contain either strings or names.

The HeatMap command generates a heat map for the specified data. A heat map is a method of data visualization representing the magnitude of included data as a discrete density plot.

The first parameter A is a numeric Matrix, a list of lists, or a DataFrame.

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

$\mathrm{RM}≔\mathrm{LinearAlgebra}:-\mathrm{RandomMatrix}\left(10\right)\:$

$\mathrm{HeatMap}\left(\mathrm{RM}\right)$

$\mathrm{HeatMap}\left(\mathrm{RM}\,\mathrm{color}=\left[\mathrm{blue}\,\mathrm{white}\,\mathrm{red}\right]\right)$

$U≔⟨\mathrm{seq}\left(0..10\right)⟩\:$$V≔⟨\mathrm{seq}\left(\sin \left(i\right)\,i=0..10\right)⟩\:$$W≔⟨\mathrm{seq}\left(\cos \left(i\right)\,i=0..10\right)⟩\:$

$M≔\mathrm{Matrix}\left(\left[U\,V\,W\right]\right)\:$

$\mathrm{CM}≔\mathrm{CorrelationMatrix}\left(M\,\mathrm{ignore}\right)$

$\mathrm{CM}≔\left[\right]$

$\mathrm{HeatMap}\left(\mathrm{CM}\,\mathrm{columnlabels}=\left[''n''\,''sin(n)''\,''cos(n)''\right]\,\mathrm{rowlabels}=\left[''n''\,''sin(n)''\,''cos(n)''\right]\right)$

$\mathrm{CanadaCrime}≔\mathrm{Import}\left(''datasets/canada\_crimes.csv''\,\mathrm{base}=\mathrm{datadir}\right)\:$

$\mathrm{Statistics}:-\mathrm{HeatMap}\left(\mathrm{CanadaCrime}\left[1..10,..\right]\,\mathrm{color}=\mathrm{white}..\mathrm{red}\,\mathrm{size}=\left[900\,300\right]\right)$

$\mathrm{Statistics}:-\mathrm{HeatMap}\left(\mathrm{CanadaCrime}\left[1..10,..\right]\,\mathrm{color}=\mathrm{white}..\mathrm{red}\,\mathrm{range}=\mathrm{all}\,\mathrm{size}=\left[900\,300\right]\right)$

$\mathrm{Words}≔\left[''acqua''\,''agua''\,''eau''\,''su''\,''Wasser''\,''water''\,''woda''\,''vatten''\,''voda''\right]$

$\mathrm{Words}≔\left[''acqua''\,''agua''\,''eau''\,''su''\,''Wasser''\,''water''\,''woda''\,''vatten''\,''voda''\right]$

$\mathrm{WordDistances}≔\mathrm{DataFrame}\left(\mathrm{Matrix}\left(\mathrm{numelems}\left(\mathrm{Words}\right)\,\left(i\,j\right)\mapsto \mathrm{StringTools}:-\mathrm{Levenshtein}\left(\mathrm{Words}\left[i\right]\,\mathrm{Words}\left[j\right]\right)\right)\,\mathrm{rows}=\mathrm{Words}\,\mathrm{columns}=\mathrm{Words}\right)\:$

$\mathrm{Statistics}:-\mathrm{HeatMap}\left(\mathrm{WordDistances}\,\mathrm{size}=\left[800\,400\right]\,\mathrm{color}=\mathrm{blue}..\mathrm{white}\,\mathrm{range}=\mathrm{all}\right)$

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

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