The ColumnLabels command returns the list of column labels for a DataFrame object, or a single column label. A single label is specified by its position.

The RowLabels command returns the list of row labels for a DataFrame object, or a single row label. A single label is specified by its position.

The SubsColumnLabel command creates a DataFrame object with a different column label.

The SubsRowLabel command creates a DataFrame object with a different row label.

Note: the SubsColumnLabel and SubsRowLabel commands do not modify the given DataFrame object DF - they just return new DataFrame objects. See the Examples section below.

If i is a negative integer, it specifies the position counting from the end. For example, -2 specifies the label before last.

$\mathrm{df}≔\mathrm{DataFrame}\left(\left[\left[5\,6\,8\right]\,\left[8\,9\,1\right]\,\left[9\,6\,0\right]\,\left[2\,5\,9\right]\right]\,\mathrm{columns}=\left[A\,B\,C\,\mathrm{D}\right]\,\mathrm{rows}=\left[a\,b\,c\right]\right)$

$\mathrm{df}≔\left[\begin{array}{ccccc}& A& B& C& \mathrm{D}\\ a& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{ColumnLabels}\left(\mathrm{df}\right)$

$\left[A\,B\,C\,\mathrm{D}\right]$

$\mathrm{RowLabels}\left(\mathrm{df}\right)$

$\left[a\,b\,c\right]$

$\mathrm{ColumnLabels}\left(\mathrm{df}\,2\right)$

$B$

$\mathrm{RowLabels}\left(\mathrm{df}\,-1\right)$

$c$

$\mathrm{df2}≔\mathrm{SubsColumnLabel}\left(\mathrm{df}\,3\,X\right)$

$\mathrm{df2}≔\left[\begin{array}{ccccc}& A& B& X& \mathrm{D}\\ a& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{ColumnLabels}\left(\mathrm{df}\right)$

$\left[A\,B\,C\,\mathrm{D}\right]$

$\mathrm{ColumnLabels}\left(\mathrm{df2}\right)$

$\left[A\,B\,X\,\mathrm{D}\right]$

$\mathrm{SubsRowLabel}\left(\mathrm{df}\,1\,z\right)$

$\left[\begin{array}{ccccc}& A& B& C& \mathrm{D}\\ z& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{SubsRowLabel}\left(\mathrm{df}\,a\,S\right)$

$\left[\begin{array}{ccccc}& A& B& C& \mathrm{D}\\ S& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{df}≔\mathrm{SubsColumnLabel}\left(\mathrm{df}\,3\,X\right)$

$\mathrm{df}≔\left[\begin{array}{ccccc}& A& B& X& \mathrm{D}\\ a& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{df}≔\mathrm{SubsRowLabel}\left(\mathrm{df}\,1\,z\right)$

$\mathrm{df}≔\left[\begin{array}{ccccc}& A& B& X& \mathrm{D}\\ z& 5& 8& 9& 2\\ b& 6& 9& 6& 5\\ c& 8& 1& 0& 9\end{array}\right]$

$\mathrm{ColumnLabels}\left(\mathrm{df}\right)$

$\left[A\,B\,X\,\mathrm{D}\right]$

$\mathrm{RowLabels}\left(\mathrm{df}\right)$

$\left[z\,b\,c\right]$

The DataFrame/ColumnLabels, DataFrame/RowLabels, DataFrame/SubsColumnLabel and DataFrame/SubsRowLabel commands were introduced in Maple 2016.

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