def to_signal(self, mask=None):
"""
Creates a hyperspy.Signal1D object with the same spectral image.
The resulting hyperspy.Signal1D contains the full spectral image.
Returns
----------
s : hyperspy.Signal1D
hyperspy object
"""
(nz, ny, nx, nf) = np.shape(self.spec_im)
dx = (self.x_array[1] - self.x_array[0])
dy = (self.y_array[1] - self.y_array[0])
(units, scale) = self.get_unit_scaling()
dx *= scale
dy *= scale
spec_name = 'index'
if self.spec_units in ['nm', 'um']:
spec_name = 'Wavelength'
elif self.spec_units == 'eV':
spec_name = 'E'
dict_y = {'name': 'y', 'units': units, 'scale': dy, 'size': ny}
dict_x = {'name': 'x', 'units': units, 'scale': dx, 'size': nx}
dict_f = {
'name': spec_name,
'units': self.spec_units,
'scale': self.spec_x_array[1] - self.spec_x_array[0],
'size': nf,
'offset': self.spec_x_array[0]
}
dict_z = {'name': 'z', 'units': units, 'size': nz}
if nz == 1:
s = Signal1D(np.squeeze(self.spec_im),
axes=[dict_y, dict_x, dict_f],
mask=mask)
s.change_dtype('float64')
return s
else:
dz = (self.z_array[1] - self.z_array[0]) * scale
dict_z['scale'] = dz
s = BaseSignal(self.spec_im, axes=[dict_z, dict_y, dict_x, dict_f])
s.change_dtype('float64')
return s.as_signal1D(0)
