Last modified: December 2020

URL: https://cxc.cfa.harvard.edu/sherpa/ahelp/calc_data_sum2d.html
Jump to: Description · Examples · PARAMETERS · Notes · Bugs · See Also


AHELP for CIAO 4.13 Sherpa v1

calc_data_sum2d

Context: utilities

Synopsis

Sum up the data values of a 2D data set.

Syntax

calc_data_sum2d(reg=None, id=None)

reg - str, optional
id - int or str, optional

Description

This function is for two-dimensional data sets: use `calc_model_sum` for one-dimensional data sets.


Examples

Example 1

The following examples use the data in the default data set created with the following calls, which sets the y (data) values to be 0 to 11 in a 3 row by 4 column image:

>>> ivals = np.arange(12)
>>> y, x = np.mgrid[10:13, 20:24]
>>> y = y.flatten()
>>> x = x.flatten()
>>> load_arrays(1, x, y, ivals, (3, 4), DataIMG)

with no argument, the full data set is used:

>>> calc_data_sum2d()
66
>>> ivals.sum()
66

and a spatial filter can be used to restrict the region used for the summation:

>>> calc_data_sum2d('circle(22,12,1)')
36
>>> calc_data_sum2d('field()-circle(2,2,1)')
30

Example 2

Apply the spatial filter to the data set labelled "a2142":

>>> calc_data_sum2d('rotbox(4232.3,3876,300,200,43)', 'a2142')

PARAMETERS

The parameters for this function are:

Parameter Definition
reg The spatial filter to use. The default, none , is to use the whole data set.
id Use the source expression associated with this data set. If not given then the default identifier is used, as returned by `get_default_id` .

Return value

The return value from this function is:

dsum -- The sum of the data values that lie within the given region.

Notes

The coordinate system of the region filter is determined by the coordinate setting for the data set (e.g. `get_coord` ).

Any existing filter on the data set - e.g. as created by `ignore2d` or `notice2d` - is ignored by this function.


Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.

See Also

data
copy_data, dataspace1d, dataspace2d, datastack, delete_data, fake, get_axes, 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, get_counts, get_data, get_data_contour, get_data_contour_prefs, get_data_image, get_data_plot, get_data_plot_prefs, get_dep, get_dims, get_error, get_quality, get_specresp, get_staterror, get_syserror, group, group_adapt, group_adapt_snr, group_bins, group_counts, group_snr, group_width, 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
plotting
plot_data, set_xlinear, set_xlog, set_ylinear, set_ylog
saving
save_error, save_filter, save_grouping, save_quality, save_staterror, save_syserror
utilities
calc_data_sum, calc_ftest, calc_kcorr, calc_mlr, calc_model_sum2d, calc_source_sum2d, get_rate
visualization
contour, contour_data, contour_ratio, histogram1d, histogram2d, image_data, rebin