image_fit(id=None, newframe=True, tile=True, deleteframes=True)¶
Display the data, model, and residuals for a data set in the image viewer.
This function displays the data, model (including any instrument response), and the residuals (data - model), for a data set.
The image viewer is automatically started if it is not already open.
id (int or str, optional) – The data set. If not given then the default identifier is used, as returned by get_default_id.
newframe (bool, optional) – Create a new frame for the data? If
False, the default, then the data will be displayed in the current frame.
tile (bool, optional) – Should the frames be tiles? If
False, the default, then only a single frame is displayed.
deleteframes (bool, optional) – Should existing frames be deleted? The default is
sherpa.utils.err.IdentifierErr – If the data set does not exist or a source expression has not been set.
Image visualization is optional, and provided by the DS9 application 1.
Display the fit results - that is, the data, model, and residuals - for the default data set.
Do not tile the frames (the three frames are loaded, but only the last displayed, the residuals), and then change the frame being displayed to the second one (the model).
>>> image_fit('img', tile=False) >>> image_xpaset('frame 2')