How To Understand Seaborn's Heatmap Annotation Format?

I am looking for a way to show '0.0045' as '0.45%' on seaboarn's heatmap by specifying the fmt keyword: sns.heatmap(data, annot=True, fmt='??') However, I did not find a list of f

Solution 1:

There isn't a clear and quick answer to this at the top of search engine results so I provide simple examples here:

.1e = scientific notation with 1 decimal point (standard form)

.2f = 2 decimal places

.3g = 3 significant figures

.4% = percentage with 4 decimal places

A more detailed explanation on the python string formatter can be found here: https://docs.python.org/3/library/string.html?highlight=string#formatspec (scroll down to table with e, E, f, F, etc. in the Type column)

Solution 2:

You can use .2% as the fmt to have your annotations displayed as percentages with 2 decimal places. Following is a minimum complete example. I have divided by 100 to have numbers in the range you are interested in

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import numpy as np; np.random.seed(0)
import seaborn as sns; sns.set()
uniform_data = np.random.rand(6, 6)/100
ax = sns.heatmap(uniform_data,annot=True, fmt=".2%")

Solution 3:

In case you did not know, .1g does not refer to the decimal places, but instead refers to the number of significant figures.

Solution 4:

I used .1f as the format specifier

fig, ax = plt.subplots(figsize=(10,10))   
sns.heatmap(df.corr(),annot=True,fmt=".1f",ax=ax)
plt.show()