Custom Annotation Seaborn Heatmap

Question

I\'m using Seaborn in Python to create a Heatmap. I\'m able to annotate the cells with the values passed in, but I\'d like to add annotations that signify what the cell mean

Answer 1

I don't believe this is possible in the current version. If you are up to a hack-y workaround, you could do the following ...

# Create the 1st heatmap without labels 
sns.heatmap(data=df1, annot=False,)

# create the second heatmap, which contains the labels,
# turn the annotation on,
# and make it transparent
sns.heatmap(data=df2, annot=True, alpha=0.0)

Note that you may have a problem with the coloring of your text labels. Here, I created a custom cmap to have all labels uniformly black.