Last modified: December 2024

URL: https://cxc.cfa.harvard.edu/sherpa/ahelp/contour_fit.html
AHELP for CIAO 4.17 Sherpa

contour_fit

Context: visualization

Synopsis

Contour the fit to a data set.

Syntax

contour_fit(id=None, replot=False, overcontour=False, **kwargs)

Description

Overplot the model - including any PSF - on the data. The preferences are the same as `contour_data` and `contour_model` .


Examples

Example 1

Plot the fit for the default data set:

>>> contour_fit()

Example 2

Overplot the fit to data set 's2' on that of the default data set:

>>> contour_fit()
>>> contour_fit('s2', overcontour=True)

PARAMETERS

The parameters for this function are:

Parameter Type information Definition
id int, str, or None, optional The data set that provides the data and model. If not given then the default identifier is used, as returned by `get_default_id` .
replot bool, optional Set to True to use the values calculated by the last call to `contour_fit` . The default is False .
overcontour bool, optional 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

psfs
contour_kernel, contour_psf
visualization
contour, contour_data, contour_fit_resid, contour_model, contour_ratio, contour_resid, contour_source