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Open a contour plot of a data set in ChIPS
contour_data( [ id, [replot=False,overcontour=False]] )
The contour_data() function opens in ChIPS a contour plot of
a data set by data set ID. If no data set ID is specified,
the default data set will be used. To
plot contours of a model, fit, fit residuals, 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")
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replot - Send cached data arrays to ChIPS;
default=False
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overcontour - Contour data without clearing previous plot;
default=False
The contour_data function can be called with no arguments,
in which case a contour plot of the data is made for the first
data set loaded in the Sherpa session, with the default
settings.
sherpa> contour_data(3, overcontour=False)
Here, the contour_data function clears the previous plot
and sends a contour plot of data set 3 to ChIPS.
sherpa> contour_data(replot=True, overcontour=True)
This command sends to ChIPS a cached contour plot of data
set 1, without clearing the previous plot.
- py.sherpa
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calc_data_sum,
calc_data_sum2d,
calc_ftest,
calc_kcorr,
calc_mlr,
calc_model_sum2d,
calc_source_sum2d,
clean,
contour,
contour_fit,
contour_fit_resid,
contour_model,
contour_psf,
contour_ratio,
contour_resid,
contour_source,
copy_data,
dataspace1d,
dataspace2d,
delete_data,
get_axes,
get_bkg_plot,
get_counts,
get_data,
get_data_plot,
get_default_id,
get_dep,
get_dims,
get_error,
get_filter,
get_rate,
get_ratio,
get_resid,
get_specresp,
group,
histogram1d,
histogram2d,
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,
list_data_ids,
list_response_ids,
load_ascii,
load_data,
load_image,
pack_image,
plot_data,
rebin,
set_data,
ungroup,
unpack_ascii,
unpack_data,
unpack_image
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