how to understand Seaborn's heatmap annotation format?

Question

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=Tr         


        

Answer 1

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%")

Answer 2

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)

Answer 3

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