Synopsis
Create the independent axis for a 1D data set.
Syntax
dataspace1d(start, stop, step=1, numbins=None, id=None, bkg_id=None, dstype=Data1DInt) start - number stop - number step - number, optional numbins - int, optional id - int or str, optional bkg_id - int or str, optional dstype - data class to use, optional
Description
Create an "empty" one-dimensional data set by defining the grid on which the points are defined (the independent axis). The values are set to 0.
Examples
Example 1
Create a binned data set, starting at 1 and with a bin-width of 1.
>>> dataspace1d(1, 5, 1) >>> print(get_indep()) (array([ 1., 2., 3., 4.]), array([ 2., 3., 4., 5.]))
Example 2
This time for an un-binned data set:
>>> dataspace1d(1, 5, 1, dstype=Data1D) >>> print(get_indep()) (array([ 1., 2., 3., 4., 5.]),)
Example 3
Specify the number of bins rather than the grid spacing:
>>> dataspace1d(1, 5, numbins=5, id=2) >>> (xlo, xhi) = get_indep(2) >>> xlo array([ 1. , 1.8, 2.6, 3.4, 4.2]) >>> xhi array([ 1.8, 2.6, 3.4, 4.2, 5. ])
Example 4
>>> dataspace1d(1, 5, numbins=5, id=3, dstype=Data1D) >>> (x, ) = get_indep(3) >>> x array([ 1., 2., 3., 4., 5.])
Example 5
Create a grid for a PHA data set called 'jet', and for its background component (note that the axis values are in channels, and there are 1024 channels set):
>>> dataspace1d(1, 1024, id='jet', dstype=DataPHA) >>> dataspace1d(1, 1024, id='jet', bkg_id=1, dstype=DataPHA)
PARAMETERS
The parameters for this function are:
Parameter | Definition |
---|---|
start | The minimum value of the axis. |
stop | The maximum value of the axis. |
step | The separation between each grid point. This is not used if numbins is set. |
numbins | The number of grid points. This over-rides the step setting. |
id | The identifier for the data set to use. If not given then the default identifier is used, as returned by `get_default_id` . |
bkg_id | If set, the grid is for the background component of the data set. |
dstype | What type of data is to be used. Supported values include `Data1DInt` (the default), `Data1D` , and `DataPHA` . |
Notes
The meaning of the stop parameter depends on whether it is a binned or unbinned data set (as set by the dstype parameter).
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- data
- copy_data, 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_arf, load_arrays, load_ascii, load_bkg, load_bkg_arf, load_bkg_rmf, load_data, load_grouping, load_image, load_multi_arfs, load_multi_rmfs, load_pha, load_quality, load_rmf, load_staterror, load_syserror, load_table, pack_image, pack_pha, pack_table, set_data, set_dep, set_quality, ungroup, unpack_arf, unpack_arrays, unpack_ascii, unpack_bkg, unpack_data, unpack_image, unpack_pha, unpack_rmf, unpack_table
- filtering
- get_filter, load_filter, set_filter
- info
- get_default_id, list_bkg_ids, list_data_ids, list_response_ids
- modeling
- add_model, add_user_pars, clean, load_table_model, load_template_interpolator, load_template_model, load_user_model, save_model, save_source
- plotting
- plot_data, set_xlinear, set_xlog, set_ylinear, set_ylog
- saving
- save_arrays, save_data, save_delchi, save_error, save_filter, save_grouping, save_image, save_pha, save_quality, save_resid, save_staterror, save_syserror, save_table
- statistics
- load_user_stat
- 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, histogram1d, histogram2d, image_data, rebin