Note
Go to the end to download the full example code
Outlier correction#
import matplotlib.pyplot as plt
import seaborn_image as isns
img = isns.load_image("polymer outliers")
f, axes = plt.subplots(1, 2)
ax0 = isns.imgplot(img, ax=axes[0], cmap="inferno")
ax1 = isns.imgplot(img, ax=axes[1], robust=True, perc=(2, 99.99), cmap="inferno")
Total running time of the script: ( 0 minutes 0.226 seconds)