plot_data

Synopsis

Plot the dataset

plot_data( [id], [replot=False, overplot=False] )

Description

The plot_data command plots the data values for a given dataset.

The plot is displayed in a ChIPS plotting window. If there is no plotting window open, one is created. If a plotting window exists, the overplot parameter value determines whether the new plot is overlaid on any existing plots in the window or if the window is cleared before the plot is drawn.

ChIPS commands may be used within Sherpa to modify plot characteristics and create hardcopies; refer to the ChIPS website for information.

The default values for the plot can be read - and changed - using the get_data_plot_prefs() command. See

unix% ahelp get_data_plot

and the examples below for more information.

Plotting Multiple Objects

To plot multiple Sherpa objects - e.g. data, model, fit, residuals - in a single window, use the plot command.

Example 1

sherpa> plot_data()
sherpa> log_scale(XY_AXIS)
sherpa> print_window("data")

Plot the data in the default dataset. The ChIPS command log_scale() is used to change the scaling of the axes to logarithmic and the print_window() command is used to create a postscript version of the plot called "data.ps".

Example 2

sherpa> get_data_plot_prefs()["xlog"] = True
sherpa> get_data_plot_prefs()["ylog"] = True
sherpa> plot_data()

The plot preferences for data plots is changed to use a logarithmic scale for both X and Y axes. Any new plots created by plot_data() will therefore be drawn with both axes logged.

Example 3

sherpa> plot_data()
sherpa> plot_data("src", overplot=True)
sherpa> set_curve(["symbol.color", "green"]);

Plots the default dataset and then overplots the data from the "src" dataset. The second dataset is changed, using ChIPS commands, to green symbols.

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, prof_data, prof_delchi, prof_fit, prof_fit_delchi, prof_fit_resid, prof_model, prof_resid, prof_source

data

copy_data, dataspace1d, dataspace2d, delete_data, fake, get_arf_plot, get_axes, get_bkg_plot, get_counts, get_data, get_data_plot, get_dep, get_dims, get_error, get_quality, get_specresp, get_staterror, get_syserror, group, load_ascii, load_data, load_grouping, load_quality, set_data, set_quality, ungroup, unpack_ascii, unpack_data

filtering

get_filter, load_filter, set_filter

info

get_default_id, list_data_ids, list_response_ids

modeling

clean, normal_sample, t_sample, uniform_sample

plotting

get_energy_flux_hist, get_lrt_plot, get_lrt_results, get_photon_flux_hist, get_pvalue_plot, get_pvalue_results, get_split_plot, plot, plot_arf, plot_bkg, plot_cdf, plot_chisqr, plot_delchi, plot_energy_flux, plot_fit, plot_lrt, plot_model, plot_model_component, 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

plot_kernel

saving

save_error, save_filter, save_grouping, save_quality, save_staterror, save_syserror

statistics

get_chisqr_plot, get_delchi_plot

utilities

calc_data_sum, calc_data_sum2d, calc_ftest, calc_kcorr, calc_mlr, calc_model_sum2d, calc_source_sum2d, get_rate

visualization

contour, contour_data, contour_ratio, contour_resid, get_ratio, get_resid, histogram1d, histogram2d, image_data, rebin