I have an list of lists like so: my_list = [ ['scoreA', 'scoreA', None],['scoreA', 'scoreB', 0.5], ['scoreA', 'scoreC', 0.4], ['scoreB', 'scoreB', None],['scoreB', 'scoreA', 0.5], ['scoreB', 'scoreC', 0.9] ] I wish to visualise these in a confusion matrix, to produce a heatmap/confusion matrix. I normally use confusion_matrix from sklearn to produce the matrix & seaborn heatmap to plot it, but in this case I already have a matrix stored in a different way and am uncertain about how to produce it. Desired output would be something like this: From reading the seaborn heatmap doccumentation, I don't understand the expected structure of the input data nor how to transform my data to mirror it. Continue reading...
