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Open a contour plot of data-minus-model residuals in ChIPS
contour_resid( [ id, [replot=False,overcontour=False]] )
The contour_resid function opens in ChIPS a contour plot of fit
residuals (dataset minus dataset model) by data set ID. If
no data set ID is specified, the residuals corresponding to
the default data set will be used. To
plot contours of a data set, model, fit, data-to-model
ratio, or psf, use the contour function.
Arguments:
-
id - Sherpa data set ID; if not given, uses the default dataset id (id=1 by default, see "ahelp get_default_id")
-
replot - Send cached data arrays to ChIPS;
default=False
-
overcontour - Contour data without clearing previous plot;
default=False
The contour_resid function can be called with no arguments,
in which case a contour plot of the data-minus-model fit
residuals is made for the default data set loaded in the
Sherpa session, with the default settings.
sherpa> contour_resid(3, overcontour=False)
Here, the contour_resid function clears the previous plot
and sends to ChIPS a contour plot of the fit residuals
associated with data set 3.
sherpa> contour_resid(replot=True, overcontour=True)
This command sends to ChIPS a cached contour plot of the fit
residuals of the default dataset, without clearing the
previous plot.
- py.sherpa
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add_user_pars,
calc_chisqr,
calc_energy_flux,
calc_model_sum,
calc_photon_flux,
calc_source_sum,
calc_stat,
clean,
contour,
contour_data,
contour_fit,
contour_fit_resid,
contour_model,
contour_psf,
contour_ratio,
contour_source,
create_model_component,
delete_bkg_model,
delete_model,
delete_model_component,
delete_psf,
eqwidth,
fit,
get_arf_plot,
get_bkg_plot,
get_chisqr_plot,
get_delchi_plot,
get_model,
get_model_autoassign_func,
get_model_plot,
get_num_par,
get_order_plot,
get_par,
get_pileup_model,
get_ratio,
get_resid,
get_source,
get_split_plot,
get_stat,
image_close,
image_data,
image_deleteframes,
image_fit,
image_getregion,
image_model,
image_open,
image_ratio,
image_resid,
image_setregion,
image_source,
image_xpaget,
image_xpaset,
integrate,
link,
list_model_ids,
load_image,
load_table_model,
load_user_model,
pack_image,
plot,
plot_arf,
plot_bkg,
plot_chisqr,
plot_data,
plot_delchi,
plot_fit,
plot_model,
plot_order,
plot_ratio,
plot_resid,
plot_source,
reset,
set_bkg_model,
set_model,
set_model_autoassign_func,
set_pileup_model,
set_source,
unpack_image
- py.sherpa_contrib
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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_energy_flux,
plot_instmap_weights,
plot_photon_flux,
prof_data,
prof_delchi,
prof_fit,
prof_fit_delchi,
prof_fit_resid,
prof_model,
prof_resid,
prof_source
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