Last modified: December 2023

URL: https://cxc.cfa.harvard.edu/sherpa/ahelp/plot_model_component.html
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AHELP for CIAO 4.16 Sherpa

plot_model_component

Context: plotting

Synopsis

Plot a component of the model for a data set.

Syntax

plot_model_component(id, model=None, replot=False, overplot=False,
clearwindow=True, **kwargs)

id - int or str, optional
model - str or sherpa.models.model.Model instance
replot - bool, optional
overplot - bool, optional
clearwindow - bool, optional

Description

This function evaluates and plots a component of the model expression for a data set, including any instrument response. Use `plot_source_component` to display without any response. For PHA data, the response model is automatically added by the routine unless the model contains a response.


Examples

Example 1

Overplot the pl component of the model expression for the default data set:

>>> plot_model()
>>> plot_model_component(pl, overplot=True)

Example 2

Display the results for the 'jet' data set (data and model), and then overplot the pl component evaluated for the 'jet' and 'core' data sets:

>>> plot_fit('jet')
>>> plot_model_component('jet', pl, overplot=True)
>>> plot_model_component('core', pl, overplot=True)

Example 3

For PHA data sets the response is automatically added, but it can also be explicitly included, which will create the same plot:

>>> plot_model_component(pl)
>>> rsp = get_response()
>>> plot_model_component(rsp(pl))

PARAMETERS

The parameters for this function are:

Parameter Definition
id The data set that provides the data. If not given then the default identifier is used, as returned by `get_default_id` .
model The component to display (the name, if a string).
replot Set to True to use the values calculated by the last call to `plot_model_component` . The default is False .
overplot If True then add the data to an existing plot, otherwise create a new plot. The default is False .
clearwindow Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)?

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.

The additional keyword arguments match the keywords of the dictionary returned by get_model_plot_prefs.


Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.

See Also

contrib
get_data_prof, get_data_prof_prefs, get_delchi_prof, get_delchi_prof_prefs, get_fit_prof, get_model_prof, get_model_prof_prefs, get_resid_prof, get_resid_prof_prefs, get_source_prof, get_source_prof_prefs, plot_chart_spectrum, plot_marx_spectrum, prof_data, prof_delchi, prof_fit, prof_fit_delchi, prof_fit_resid, prof_model, prof_resid, prof_source
data
get_arf_plot, get_bkg_chisqr_plot, get_bkg_delchi_plot, get_bkg_fit_plot, get_bkg_model_plot, get_bkg_plot, get_bkg_ratio_plot, get_bkg_resid_plot, get_bkg_source_plot
info
list_model_ids, show_bkg_model, show_bkg_source
modeling
add_model, add_user_pars, clean, create_model_component, delete_bkg_model, delete_model, delete_model_component, get_model, get_model_autoassign_func, get_model_component, get_model_component_image, get_model_component_plot, get_model_plot, get_num_par, get_num_par_frozen, get_num_par_thawed, get_order_plot, get_par, get_pileup_model, get_source, get_source_component_image, get_source_component_plot, get_source_contour, get_source_image, get_source_plot, get_xsabund, get_xscosmo, get_xsxsect, get_xsxset, image_model, image_model_component, image_source, image_source_component, integrate, link, load_table_model, load_template_interpolator, load_template_model, load_user_model, normal_sample, reset, save_model, save_source, set_bkg_model, set_bkg_source, set_full_model, set_model, set_model_autoassign_func, set_pileup_model, set_source, set_xsabund, set_xscosmo, set_xsxsect, set_xsxset, t_sample, uniform_sample
plotting
get_cdf_plot, get_energy_flux_hist, get_pdf_plot, get_photon_flux_hist, get_pvalue_plot, get_pvalue_results, get_split_plot, plot, plot_arf, plot_bkg, plot_bkg_chisqr, plot_bkg_delchi, plot_bkg_fit, plot_bkg_fit_delchi, plot_bkg_fit_resid, plot_bkg_model, plot_bkg_ratio, plot_bkg_resid, plot_bkg_source, plot_cdf, plot_chisqr, plot_data, plot_delchi, plot_energy_flux, plot_fit, plot_fit_delchi, plot_fit_resid, plot_model, plot_order, plot_pdf, plot_photon_flux, plot_pvalue, plot_ratio, plot_resid, plot_scatter, plot_source, plot_source_component, plot_trace, set_xlinear, set_xlog, set_ylinear, set_ylog
psfs
delete_psf, load_conv, plot_kernel
saving
save_delchi, save_resid
statistics
get_chisqr_plot, get_delchi_plot
utilities
calc_chisqr, calc_energy_flux, calc_model_sum, calc_photon_flux, calc_source_sum, calc_stat, eqwidth
visualization
contour_model, contour_ratio, contour_resid