Synopsis
Plot the residuals (data - model) for a data set.
Syntax
plot_resid(id=None, replot=False, overplot=False, clearwindow=True, **kwargs) id - int or str, optional replot - bool, optional overplot - bool, optional clearwindow - bool, optional
Description
This function displays the residuals (data - model) for a data set.
Examples
Example 1
Plot the residuals for the default data set:
>>> plot_resid()
Example 2
Overplot the residuals from the 'core' data set on those from the 'jet' dataset:
>>> plot_resid('jet') >>> plot_resid('core', overplot=True)
Example 3
Add the residuals to the plot of the data, for the default data set:
>>> plot_data() >>> plot_resid(overplot=True)
Example 4
Additional arguments can be given that are passed to the plot backend: the supported arguments match the keywords of the dictionary returned by `get_data_plot_prefs` . The following sets the cap length for the ends of the error bars:
>>> plot_resid(capsize=5)
PARAMETERS
The parameters for this function are:
Parameter | Definition |
---|---|
id | The data set. 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 `plot_resid` . 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 additional arguments supported by `plot_resid` are the same as the keywords of the dictionary returned by `get_data_plot_prefs` .
The ylog setting is ignored, and the Y axis is drawn using a linear scale.
Changes in CIAO
Changed in CIAO 4.12
The Y axis is now always drawn using a linear scale.
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
- modeling
- normal_sample, 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_resid_plot, 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_model_component, plot_order, plot_pdf, plot_photon_flux, plot_pvalue, plot_ratio, plot_scatter, plot_source, plot_source_component, plot_trace, set_xlinear, set_xlog, set_ylinear, set_ylog
- psfs
- plot_kernel
- statistics
- get_chisqr_plot, get_delchi_plot
- visualization
- contour_resid