def to_signal2D(self, optimize=True):
"""Returns the one dimensional signal as a two dimensional signal.
By default ensures the data is stored optimally, hence often making a
copy of the data. See `transpose` for a more general method with more
options.
%s
See Also
--------
transpose, as_signal1D, as_signal2D, hs.transpose
Raises
------
DataDimensionError
When data.ndim < 2
"""
if self.data.ndim < 2:
raise DataDimensionError(
"A Signal dimension must be >= 2 to be converted to Signal2D")
nat = self.axes_manager._get_axes_in_natural_order()
im = self.transpose(signal_axes=nat[:2],
navigation_axes=nat[2:],
optimize=optimize)
return im
def to_image(self):
"""Returns the spectrum as an image.
See Also
--------
as_image : a method for the same purpose with more options.
signals.Spectrum.to_image : performs the inverse operation on images.
Raises
------
DataDimensionError: when data.ndim < 2
"""
if self.data.ndim < 2:
raise DataDimensionError(
"A Signal dimension must be >= 2 to be converted to an Image")
im = self.rollaxis(-1 + 3j, 0 + 3j)
im.metadata.Signal.record_by = "image"
im._assign_subclass()
return im
def to_signal2D(self):
"""Returns the one dimensional signal as a two dimensional signal.
See Also
--------
as_signal2D : a method for the same purpose with more options.
signals.Signal1D.to_signal2D : performs the inverse operation on images.
Raises
------
DataDimensionError: when data.ndim < 2
"""
if self.data.ndim < 2:
raise DataDimensionError(
"A Signal dimension must be >= 2 to be converted to Signal2D")
im = self.rollaxis(-1 + 3j, 0 + 3j)
im.axes_manager.set_signal_dimension(2)
im._assign_subclass()
return im