dendrogram

Initially I was trying to add the horizontal color side bar to the dendrogram plot (NOT to the whole heat map) using colored_bars from dendextend. The code below (THANK YOU for your help Tal!) works pretty well. The only issue remaining is how to control the distance of the bar from the leaves labels and the bar width? Here is an example, data and code Data (4 variables, 5 cases) df <- read.table(header=T, text="group class v1 v2 1 A 1 3.98 23.2 2 A 2 5.37 18.5 3 C 1 4.73 22.1 4 B 1 4.17 22.3 5 C 2 4.47 22.4 ") car_type <- factor(df[,c(1)]) # groups codes (A,B,C) cols_4 <- heat.colors(3) col

I am trying to figure out how the output of scipy.cluster.hierarchy.dendrogram works... I thought I knew how it worked and I was able to use the output to reconstruct the dendrogram but it seems as if I am not understanding it anymore or there is a bug in Python 3 's version of this module. This answer, how do I get the subtrees of dendrogram made by scipy.cluster.hierarchy , implies that the dendrogram output dictionary gives dict_keys(['icoord', 'ivl', 'color_list', 'leaves', 'dcoord']) w/ all of the same size so you can zip them and plt.plot them to reconstruct the dendrogram. Seems simple

Using the heatmap function of made4 , I made this heatmap dendrogram from the example file: data(khan) heatplot(khan$train[1:30,], lowcol="blue", highcol="red") How can I add a panel of labels for the samples on the edges of the heatmap, like in this figure? The labels in this case are the squares that are adjacent to the heatmap first col and top row, used to denote a label for each sample so that one can see if the labels correspond with the clustering shown by the heatmap/dendrogram. In this particular plot they chose to make those labels correspond exactly to the colors of the dendrogram