|
|
Create a blank 2D dataset
dataspace2d( dims, [id,dstype=DataIMG] )
The dataspace2d command creates a blank 2D image with a grid
in logical coordinates according to the dimensional array
argument (dims). To create 1D data, use the dataspace1d
command
("ahelp dataspace1d")
.
-
dims - array of image dimensions, i.e. [width,height]
-
id - the id of the new dataset; if not given, uses the default dataset id (id=1 by default, see "ahelp get_default_id")
-
dstype - dataset type: DataIMG (the default), Data2D, or Data2DInt
sherpa> dataspace2d([216,216])
Create a blank image with dimensions 216x216.
sherpa> dataspace2d([50,100], id="newimg")
Create a blank image that is 50x100 and give it an id of
"newimg".
- py.sherpa
-
add_user_pars,
calc_data_sum,
calc_data_sum2d,
calc_ftest,
calc_kcorr,
calc_mlr,
calc_model_sum2d,
calc_source_sum2d,
clean,
contour,
contour_data,
contour_ratio,
copy_data,
dataspace1d,
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_data,
list_bkg_ids,
list_data_ids,
list_response_ids,
load_arf,
load_arrays,
load_ascii,
load_bkg,
load_bkg_arf,
load_bkg_rmf,
load_data,
load_image,
load_multi_arfs,
load_multi_rmfs,
load_pha,
load_rmf,
load_table,
load_table_model,
load_user_model,
pack_image,
pack_pha,
pack_table,
plot_data,
rebin,
save_data,
save_image,
save_pha,
save_table,
set_data,
ungroup,
unpack_arf,
unpack_arrays,
unpack_ascii,
unpack_bkg,
unpack_data,
unpack_image,
unpack_pha,
unpack_rmf,
unpack_table
|
![[Sherpa Logo]](../imgs/sherpa_logo_navbar.gif){kind=logo}