Display different values on a Seaborn heatmap

Question

I have a working sns.heatmap, showing volatility of currency pairs. What I want is to be retain the color from the volatility, but superimpose the numeric spot rate in the relevant cell.

This way each cell displays two values- spot numeric, and volatility color. Is there a way to use sns.heatmap to do this directly, or failing that, grab the graphical info and superimpose the spot data.

[This](https://stackoverflow.com/questions/44666679/something-like-plt-matshow-but-with-triangles), [this](https://stackoverflow.com/questions/44291155/plotting-two-distance-matrices-together-on-same-plot) or [this](https://stackoverflow.com/questions/49163305/seaborn-complex-heatmap-drawing-circles-within-tiles-to-denote-complex-annotat) — ImportanceOfBeingErnest, Sep 17 '19 at 15:35

score 0 · Answer 1 · answered Sep 17 '19 at 16:24

0

never mind, I've found an updated part of seaborn documentation. annot can now be set to an array of values separate from the color map.

answered Sep 17 '19 at 16:24

P Stafford

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4

score 0 · Answer 2 · answered Dec 06 '22 at 11:46

Simple example:

import seaborn as sns

data_number = pd.DataFrame(np.random.randint(0, 3, (11,5)), columns=['A', 'B', 'C', 'D', 'E'], index = range(2000, 2011, 1))
data_string = data_number.replace(0,"").replace(1,"Some").replace(2,"Lots")

sns.heatmap(data_number, annot=data_string, 
            xticklabels=data_number.columns,
            yticklabels=data_number.index,
            fmt="s", cmap = sns.cm.rocket_r)

Results in:

Display different values on a Seaborn heatmap

2 Answers2