Error while using correct_lines/ correct_slope on .spm- (Bruker-) data with different x-,y-dimension about pyspm HOT 2 CLOSED

So this is a known limitation, where the correct_ functions only work on square arrays. I don't have some raw data to test with atm, but can you try this and see if it works correctly

import numpy as np
import pySPM

filename = 'testfile.spm'
scan = pySPM.Bruker(filename)
topoB = scan.get_channel("Height Sensor")

# the correct lines logic
topoB.pixels -= np.tile(np.mean(topoB.pixels, axis=1).T, (topoB.pixels.shape[1], 1)).T

# check if the result is correct
topoB.show(pixels=True)

from pyspm.

Hello,
your suggestion worked perfectly and solves the problem for me.
Thank you for the solution and the qucik reply!

from pyspm.