image_source_component

sherpa.ui.image_source_component(id, model=None, newframe=False, tile=False)

Display a component of the source expression in the image viewer.

This function evaluates and displays a component of the model expression for a data set, without any instrument response. Use image_model_component to include any response.

The image viewer is automatically started if it is not already open.

Parameters

  • id (int or str, optional) – The data set. If not given then the default identifier is used, as returned by get_default_id.

  • model (str or sherpa.models.model.Model instance) – The component to display (the name, if a string).

  • 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.

Raises

sherpa.utils.err.IdentifierErr – If the data set does not exist or a source expression has not been set.

See also

get_source_component_image

Return the data used by image_source_component.

image_close

Close the image viewer.

image_fit

Display the data, model, and residuals for a data set in the image viewer.

image_model

Display the model for a data set in the image viewer.

image_model_component

Display a component of the model in the image viewer.

image_open

Open the image viewer.

image_source

Display the source expression for a data set in the image viewer.

Notes

The function does not follow the normal Python standards for parameter use, since it is designed for easy interactive use. When called with a single un-named argument, it is taken to be the model parameter. If given two un-named arguments, then they are interpreted as the id and model parameters, respectively.

Image visualization is optional, and provided by the DS9 application.

Examples

Display the full source model and then just the ‘gsrc’ component for the default data set:

>>> image_source()
>>> image_source_component(gsrc)

Display the ‘clus’ and ‘bgnd’ components of the model for the ‘img’ data set side by side:

>>> image_source_component('img', 'clus')
>>> image_source_component('img', 'bgnd', newframe=True,
...                        tile=True)