It would make scripts and analysis run faster if we could work with rows in similar fashion to columns. The current workaround is to stack or capture columns as a matrix, transpose, and put back into data table so row 1 becomes Col1. This take time and memory for large data tables.
If we could use a row of data (or matrix) in place of a column(:Col1) below to generate a graph, that would be very useful. In this example, I am creating graphs to save into a column using a loop for each row (not shown). I first had to capture the columns I want graphed into a matrix, transpose it and put it back into a new data table (dt_mat). Add a new column ("Read_Number") which is 1,2,3,4,5..... The original data was in columns: :read1, :read2, :read3, :read4, :read5,...... After transposition, it becomes :Col1, :Col2, :Col3, :Col4, :Col5, .... where the columns are same as untransposed rows from original table. The pic object is inserted into the table as part of loop. The actual code uses a list of column names in place of :Col1 below.
dist = dt_mat << Bivariate( Y( :Col1 ), X( :Read_Number ), Fit Each Value( {Line Color( {212, 73, 88} )} ) );
pic = (Report( dist )[Outline Box( "Bivariate Fit of Col1 By Read" )]) << getpicture;