This is a simple class based on NumPy/SciPy that enables you to interpolate values of a function with respect to direction. You get one curve when ascending and the other one when declining.
If you have a datafile with columns like this:
#H [A/m] B[T]
...rows with values over time...
you can obtain value of B at any H like this:
from HysteresisInterpolator import *
ip = HysteresisInterpolator.fromFile("datafile.dat", 0, 1)
print ip(particular_H, direction)direction is either positive or negative number that tells the interpolator
which curve so select in terms of rising/falling.
If you want to skip some lines you can add additional parameter skip like this:
ip = HysteresisInterpolator.fromFile("gp000.dat", 1, 0, skip=15)