Outlier correctionΒΆ

plot image robust
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 0.488 seconds)

Gallery generated by Sphinx-Gallery