I have a data set for visualisation that comprises several sets of 1-D points over a given time span (the time span of the experiment). These are basically just several variable-length arrays of values whose units are seconds. I have several sets of further data relating to the nature of the experiment; Each describes each second in the experiment with an RGB colour triplet; this amounts to a 1 dimensional bitmap image whose axis is the same time axis of the former data set. I envisage one possible visualisation with the X axis (time) being annotated with one set of the colours from the latter data set. The Y axis would be either a histogram of the points from the former dataset, or (better, since the points are somewhat imprecise) a probability density function over time, derived from the gathered times themselves but assuming each represents an event that happened somewhere close to it. I am looking into using a density estimation function for this, as described in http://en.wikipedia.org/wiki/Density_estimation This brings me to my question; What would be the easiest way of annotating an axis with an array of colour triplets? Thanks for any insights/information you can offer, Gav