def func(data, p):
slices, rows, cols = data.shape
# create a view where each line represents one spectra
spectra = data.reshape(slices, rows * cols).transpose()
result = array([
sgfilter.savitzky(s, p.num_points, p.poly_degree, p.diff_order)
for s in spectra
])
return result.transpose().reshape(slices, rows, cols)
def func(data, p):
return array([
sgfilter.savitzky(line, p.num_points, p.poly_degree,
p.diff_order) for line in data
])
def func(y, p):
return sgfilter.savitzky(y, p.num_points, p.poly_degree,
p.diff_order)
