Can scipy.stats identify and mask obvious outliers?

Question

With scipy.stats.linregress I am performing a simple linear regression on some sets of highly correlated x,y experimental data, and initially visually inspecting each x,y sc

Answer 1

More generally (i.e. programmatically) is there a way to identify and mask outliers?

Various outlier detection algorithms exist; scikit-learn implements a few of them.

[Disclaimer: I'm a scikit-learn contributor.]