import matplotlib.pyplot as plt import numpy as np; np.random.seed(0) import seaborn as sns data = np.random.rand(10, 12)*100 ax = sns.heatmap(data, cbar_kws={'label': 'Accuracy %'}) ax.figure.axes[-1].yaxis.label.set_size(20) plt.show()