DistancesTable

<i>DistancesTable</i> is a CSV table. The table contains the distance matrix discussed in the Methods section under the heading Representative clustering . The distance matrix lists the pairwise distances between unique iterations of colony experiments; identification is by a unique number and a corresponding Root Filename like YPG11407\_001 which stands in for the collected image files matching YPG11407\_001\_*.jpg where the time values have been replaced by the wildcard symbol, *. The data matrix is presented in a vector format. In the vector format, we do not store the entire distance matrix. We only include the necessary list of index pairs $(i,j)$ because a distance matrix is symmetric, $\textrm{distance}(i,j) = \textrm{distance}(j,i)$. A single line from this vector format is shown in the preview image. The first two columns are the pair of indices between which the distance is defined. The third and forth column are the Root Filenames associated with these indices. The fifth column is the distance value. The distance values are the mean (integrated) distance between interpolated LBP PCA trajectories. Converting between the provided vector format for the distance matrix and the square distance matrix format is straightforward: in Python, consult the documentation for the <i>scipy.spatial.distance.squareform</i> method.