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Last modified: November 2016

URL: http://cxc.harvard.edu/sherpa/ahelp/plot_data.html
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AHELP for CIAO 4.9 Sherpa v1

plot_data

Context: plotting

Synopsis

Plot the dataset

Syntax

plot_data(id=None, replot=False, overplot=False)

Description

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

Argument Default Description
id 1 (can be changed, see "ahelp get_default_id") the id of the dataset to plot
replot False should previously-calculated arrays be used to create the plot?
overplot False If True then add the data to the current plot, otherwise erase the frame and create a new plot.

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, datastack, 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_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

Last modified: November 2016
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