I try to create something like this: plotting results of hierarchical clustering ontop of a matrix of data in python

Unfortunatelly when I try to execute the code, I get the following warnings:

Warning (from warnings module):File "C:\Users\USER1\Desktop\test.py", line 15Y = sch.linkage(D, method='centroid')
ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrixWarning (from warnings module):File "C:\Users\USER1\Desktop\test.py", line 22Y = sch.linkage(D, method='single')
ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix

In addition, a small window opens but crashes ...

That code that you linked to has a problem: it passes the square distance matrix to linkage. The first argument of linkage has been a frequent source of confusion, so in recent versions of scipy, the code generates a warning if something that looks like a square distance matrix is passed in.

You'll have to modify your code to not pass a square distance matrix to linkage. If you already have a such a matrix, you can convert it to the condensed form expected by linkage with the function scipy.spatial.distance.squareform.

To avoid further confusion, I updated the code in the linked answer so that it passes a condensed distance matrix to linkage.