| AHELP for CIAO 4.5 Sherpa v1 | get_model_plot |
Context: modeling |
Synopsis
Return a plot, contour, or image of a model, or the associated preferences
Syntax
get_model_plot( [id] ) get_model_plot_prefs() get_model_contour( [id] ) get_model_contour_prefs() get_model_image( [id] )
Description
- id - the id of the dataset to use; if not given, uses the default dataset id (id=1 by default, see "ahelp get_default_id")
get_model_plot
The get_model_plot command returns a model plot object which holds references to various plot preferences and data arrays. The attributes are:
| Field name | Description |
|---|---|
| x | The bin centers (independent variable) |
| y | The value of the dependent variable |
| yerr | The error on y |
| xerr | The half-width of the bin |
| xlabel | The label for the X axis |
| ylabel | The label for the Y axis |
| title | The plot title |
| plot_prefs | The preferences for the plot |
Note that the show_model command ("ahelp show_model") is recommended to simply print the current model to the screen.
get_model_plot_prefs
The get_model_plot_prefs command returns a dictionary of model plot preferences. For example:
{'symbolstyle': 0, 'linethickness': 3, 'linestyle': 1, 'linecolor': 'red'}
Users can change preferences as desired in the set returned by this function, as shown below in the examples. These preferences changes the appearance of models plotted using the following commands: plot_model(), plot_bkg_model(), the "fit" versions of these commands, such as plot_fit(), plot_bkg_fit(), and plot_fit_delchi().
get_model_contour
The get_model_contour command returns a model contour object which holds references to various plot preferences and data arrays. The attributes are:
| Field name | Description |
|---|---|
| x0 | The coordinate values for the first axis as a 1D array |
| x1 | The coordinate values for the second axis as a 1D array |
| y | The model value at each point of (x0,x1) as a 1D array |
| levels | The levels used for drawing contours |
| xlabel | The label for the X axis |
| ylabel | The label for the Y axis |
| title | The plot title |
| contour_prefs | The preferences for the plot |
get_model_contour_prefs
The get_model_contour_prefs command returns a dictionary of model contour preferences. For example:
{'color': 'red', 'style': None, 'thickness': 3}
get_model_image
The get_model_image command returns an image object which holds the reference to the image array. The attributes are:
| Field name | Description |
|---|---|
| name | A label for the object |
| y | The model data (as a 2D array) |
| eqpos | Information on the world coordinate system (if available) |
| sky | Information on the physical coordinate system (if available) |
Example 1
sherpa> p = get_model_plot_prefs() sherpa> p["xlog"] = True sherpa> p["ylog"] = True sherpa> p["symbolstyle"] = chips_none sherpa> p["linetyle"] = chips_dot sherpa> p["linecolor"] = "orange" sherpa> p["linethickness"] = 2
Change the defaults for plot_model() so that:
- both the X and Y axes will be drawn using a log scale;
- no symbols will be drawn;
- the points will be connected using a dotted, orange line of thickness 2.
Example 2
sherpa> get_model_plot()
Return a model plot object for the default dataset.
Example 3
sherpa> get_model_contour("src")Return a model contour object for dataset "src".
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- confidence
- get_conf, get_covar, get_int_proj, get_int_unc, get_proj, get_reg_proj, get_reg_unc
- contrib
- get_chart_spectrum
- data
- get_areascal, get_arf, get_arf_plot, get_axes, get_backscal, get_bkg, get_bkg_plot, get_bkg_scale, get_coord, get_counts, get_data, get_data_plot, get_dep, get_dims, get_error, get_exposure, get_grouping, get_indep, get_quality, get_rmf, get_specresp, get_staterror, get_syserror
- filtering
- get_filter
- fitting
- calc_stat_info, get_fit, get_stat_info
- info
- get_default_id, list_model_ids, list_stats, show_bkg_model, show_bkg_source
- methods
- get_draws, get_iter_method_name, get_iter_method_opt, get_method
- 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_num_par, get_order_plot, get_par, get_pileup_model, get_response, get_source, get_source_component_image, get_source_component_plot, image_model, image_model_component, image_source, image_source_component, integrate, integrate1d, link, load_table_model, load_template_model, load_user_model, normal_sample, reset, save_model, save_source, set_bkg_model, set_full_model, set_model_autoassign_func, set_pileup_model, set_source, set_xsabund, set_xscosmo, set_xsxsect, set_xsxset, t_sample, uniform_sample
- plotting
- get_lrt_plot, get_lrt_results, get_pvalue_plot, get_pvalue_results, get_split_plot, plot_cdf, plot_lrt, plot_model, plot_model_component, plot_pdf, plot_pvalue, plot_scatter, plot_source, plot_source_component, plot_trace
- psfs
- delete_psf, get_kernel, get_psf, load_conv
- saving
- save_delchi, save_resid
- statistics
- get_chisqr_plot, get_delchi_plot, get_prior, get_sampler, get_stat
- utilities
- calc_chisqr, calc_energy_flux, calc_model_sum, calc_photon_flux, calc_source_sum, calc_stat, eqwidth, get_analysis, get_rate
- visualization
- contour_model, contour_ratio, contour_resid, get_ratio, get_resid, image_getregion

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