def _set3DScaleAndOrigin(self, calibrations):
"""Set scale and origin for all 3 axes, to be used when plotting
an image.
See setStack for parameter documentation
"""
if calibrations is None:
self.calibrations3D = (calibration.NoCalibration(),
calibration.NoCalibration(),
calibration.NoCalibration())
else:
self.calibrations3D = []
for i, calib in enumerate(calibrations):
if hasattr(calib, "__len__") and len(calib) == 2:
calib = calibration.LinearCalibration(calib[0], calib[1])
elif calib is None:
calib = calibration.NoCalibration()
elif not isinstance(calib, calibration.AbstractCalibration):
raise TypeError("calibration must be a 2-tuple, None or" +
" an instance of an AbstractCalibration " +
"subclass")
elif not calib.is_affine():
_logger.warning(
"Calibration for dimension %d is not linear, "
"it will be ignored for scaling the graph axes.",
i)
self.calibrations3D.append(calib)
def _set3DScaleAndOrigin(self, calibrations):
"""Set scale and origin for all 3 axes, to be used when plotting
an image.
See setStack for parameter documentation
"""
if calibrations is None:
self.calibrations3D = (calibration.NoCalibration(),
calibration.NoCalibration(),
calibration.NoCalibration())
else:
self.calibrations3D = []
for calib in calibrations:
if hasattr(calib, "__len__") and len(calib) == 2:
calib = calibration.LinearCalibration(calib[0], calib[1])
elif calib is None:
calib = calibration.NoCalibration()
elif not isinstance(calib, calibration.AbstractCalibration):
raise TypeError("calibration must be a 2-tuple, None or" +
" an instance of an AbstractCalibration " +
"subclass")
self.calibrations3D.append(calib)
