Synopsis
Create a contour plot of the unconvolved spatial model.
Syntax
contour_source(id=None, replot=False, overcontour=False, **kwargs) id - int or str, optional replot - bool, optional overcontour - bool, optional
Description
Displays a contour plot of the values of the model, evaluated on the data, without any PSF kernel convolution applied. The preferences are the same as `contour_model` .
Examples
Example 1
Plot the model from the default data set:
>>> contour_source()
Example 2
Compare the model without and with the PSF component, for the "img" data set:
>>> contour_model("img")
>>> contour_source("img", overcontour=True)PARAMETERS
The parameters for this function are:
| Parameter | Definition |
|---|---|
| id | The data set that provides the model. If not given then the default identifier is used, as returned by `get_default_id` . |
| replot | Set to True to use the values calculated by the last call to `contour_source` . The default is False . |
| overcontour | If True then add the data to an existing plot, otherwise create a new contour plot. The default is False . |
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- modeling
- get_source_contour
- psfs
- contour_kernel, contour_psf
- visualization
- contour, contour_data, contour_fit, contour_fit_resid, contour_model, contour_ratio, contour_resid