[FIXED] Subscript labels in heatmap (in python seaborn)

Issue

I am trying to subscript my axis labels in a Python/sns heatmap; however, I don't know how to do it. Below is an example code from where I get the heatmap but labels are normal (attached figure), but I want them as subscript. For example, I would like to have Tair as air in subscript. Another example is Tair-Ts variable, where I want air and s in subscript.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

d = {'Tair': [25.55,  5.25, 1.99,  9.78], 
     'Ts': [0.45,  0.10,  0.69, 0.52],
    'Tair-Ts': [-10, -7, -8, -5]}

df = pd.DataFrame(data=d) # data frame
corr = df.corr() # correlation matrix
ax = sns.heatmap(corr, linewidth=0.5) # heatmap

I would be extremely grateful if anyone can help me to get the labels as subscript.

Thank you.

Sample Figure

Solution

In matplotlib, you can use dollar signs to indicate LaTeX formatting.

Your example could look like:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

d = {'Tair': [25.55, 5.25, 1.99, 9.78],
     'Ts': [0.45, 0.10, 0.69, 0.52],
     'Tair-Ts': [-10, -7, -8, -5]}

df = pd.DataFrame(data=d)
corr = df.corr()
labels = ['$T_{air}$', '$T_{s}$', '$T_{air}-T_{s}$']
ax = sns.heatmap(corr, xticklabels=labels, yticklabels=labels, linewidth=0.5)
plt.tight_layout()
plt.show()

Answered By - JohanC