How to add text (units, %, etc) in a heatmap cell annotations using seaborn in python ?

Example of how to add text (units, %, etc) in a heatmap cell annotations using seaborn in python:

1 -- Create a simple heatmap with seaborn

Let's create a heatmap with seaborn:

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

data = np.array([[25.55535942,  1.99598017,  9.78107706],
 [ 4.95758736, 39.68268716, 16.78109873],
 [ 0.45401194,  0.10003128,  0.6921669 ]])

df = pd.DataFrame(data=data)

fig = plt.figure(num=None, figsize=(10, 10), dpi=80, facecolor='w', edgecolor='k')

cmap = sns.cubehelix_palette(light=1, as_cmap=True)

res = sns.heatmap(df, annot=True, vmin=0.0, vmax=100.0, 
                  fmt='.2f', cmap=cmap, cbar_kws={"shrink": .82},
                  linewidths=0.1, linecolor='gray')

res.invert_yaxis()

plt.title('Seaborn heatmap - add ')

plt.show()

2 -- Add text to the annotations

To add text (for example here the symbol percentage %), a solution is to do:

for t in res.texts: t.set_text(t.get_text() + " %")

Source code

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


data = np.array([[25.55535942,  1.99598017,  9.78107706],
 [ 4.95758736, 39.68268716, 16.78109873],
 [ 0.45401194,  0.10003128,  0.6921669 ]])

df = pd.DataFrame(data=data)

fig = plt.figure(num=None, figsize=(10, 10), dpi=80, facecolor='w', edgecolor='k')

cmap = sns.cubehelix_palette(light=1, as_cmap=True)

res = sns.heatmap(df, annot=True, vmin=0.0, vmax=100.0, 
                  fmt='.2f', cmap=cmap, cbar_kws={"shrink": .82},
                  linewidths=0.1, linecolor='gray')

res.invert_yaxis()

for t in res.texts: t.set_text(t.get_text() + " %")

plt.title('Seaborn heatmap - add ')

plt.savefig('seaborn_heatmap_with_frame_and_cell_border_01.png')              
plt.show()

returns

3 -- Annotations customization

Another solution is to custom the annotations:

labels =  np.array([['A','B','C'],['D','E','F'],['G','H','I']])

and edit the heatmap() function, like this:

annot=labels et  fmt=''

Source code

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


data = np.array([[25.55535942,  1.99598017,  9.78107706],
 [ 4.95758736, 39.68268716, 16.78109873],
 [ 0.45401194,  0.10003128,  0.6921669 ]])

df = pd.DataFrame(data=data)

fig = plt.figure(num=None, figsize=(10, 10), dpi=80, facecolor='w', edgecolor='k')

cmap = sns.cubehelix_palette(light=1, as_cmap=True)

labels =  np.array([['A','B','C'],['D','E','F'],['G','H','I']])

res = sns.heatmap(df, annot=labels, vmin=0.0, vmax=100.0, 
                  fmt='', cmap=cmap, cbar_kws={"shrink": .82},
                  linewidths=0.1, linecolor='gray')

res.invert_yaxis()

#for t in res.texts: t.set_text(t.get_text() + " %")

plt.savefig('seaborn_heatmap_add_annotation_02.png')              
plt.show()

returns

References

• Adding units to heatmap annotation in Seaborn
• Custom Annotation Seaborn Heatmap
• How to Add Text plus Value in Python Seaborn Heatmap