Data Extraction using Python

The two plots are tested for their own unique property. However when they are plotted the show resemblance. I plan to process run a ML program to compare the two plots but I need the parts sectioned off so I am able to compare the two data plots by their respective segments. Is there a way to section data off by slope? I am NOT asking for a ML program.

Please provide your python code on how to extract this data.

Both of these plots are are constructed using a x and y array.

sns.regplot(x = xarray, y = yarray, ci = None , robust = True)

i

2.5 20 1.5 1.0 0.5 . . 0.0 .... -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 1.0 0.8 +0000 0.6 0.4 0.2 -30 -20 -10 0 10 20 30