def ab_norm_cube(self, path):
# 7. Normalised absorbance --> 5 divided by max(5)
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (True, False, False),
mask=None)
cube = obj.x2.tolist()
return self.remove_masked_values(cube)
def ab_data_cube(self, path):
# 5. Original absorbance --> -log() of 2
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (True, True, False),
mask=None)
cube = obj.x2.tolist()
return self.remove_masked_values(cube)
def ref_norm_cube(self, path):
# 3. Normalised reflectance --> 1 divded by max(1)
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (False, False, False),
mask=None)
cube = obj.x1.tolist()
return self.remove_masked_values(cube)
def ab_norm_non_neg_cube(self, path):
# 8. Normalised absorbance without negative values --> 7 with spaces for
# negative values
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (True, False, True),
mask=None)
cube = obj.x2.tolist()
return self.remove_masked_values(cube)
def ref_norm_non_neg_cube(self, path):
# 4. Normalised reflectance without negative values --> 3 with spaces
# for negative values
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (False, False, True),
mask=None)
cube = obj.x1.tolist()
return self.remove_masked_values(cube)
def ref_data_cube(self, path):
# 1. Original reflectance
# Data cube is originally same for all, use hist because its the first in the list
# absorbance, original, non-neg
obj = Analysis(path,
self.get_result(path)[0].data_cube,
self.wavelength, (False, True, False),
mask=None)
cube = obj.x1.tolist()
return self.remove_masked_values(cube)