DataND¶

class sherpa.data.DataND(name, indep, dep, staterror=None, syserror=None)[source]¶

Bases: sherpa.data.Data

Base class for Data1D, Data2D, etc.

Attributes Summary

`filter`	Filter for dependent variable
`mask`	Mask array for dependent variable

Methods Summary

`apply_filter`(data)
`eval_model`(modelfunc)
`eval_model_to_fit`(modelfunc)
`get_dep`([filter])
`get_dims`()
`get_error`([filter, staterrfunc])	Return the total error on the dependent variable.
`get_img`([yfunc])	Return dependent variable as an image
`get_imgerr`([yfunc])	Return total error in dependent variable as an image
`get_indep`([filter])	Return the independent axes of a data set.
`get_staterror`([filter, staterrfunc])	Return the statistical error on the dependent axis of a data set.
`get_syserror`([filter])	Return the statistical error on the dependent axis of a data set.
`get_x`([filter])	Return linear view of independent axis/axes
`get_x0`([filter])	Return first dimension in 2-D view of independent axis/axes
`get_x0label`()	Return label for first dimension in 2-D view of independent axis/axes
`get_x1`([filter])	Return second dimension in 2-D view of independent axis/axes
`get_x1label`()	Return label for second dimension in 2-D view of independent axis/axes
`get_xerr`([filter])	Return linear view of bin size in independent axis/axes
`get_xlabel`()	Return label for linear view of independent axis/axes
`get_y`([filter, yfunc])	Return dependent axis in N-D view of dependent variable
`get_yerr`([filter, staterrfunc])	Return errors in dependent axis in N-D view of dependent variable
`get_ylabel`([yfunc])	Return label for dependent axis in N-D view of dependent variable
`ignore`(\args, \\*kwargs)
`notice`(mins, maxes, axislist[, ignore])
`set_dep`(val)	Set the dependent variable values
`to_contour`([yfunc])
`to_fit`([staterrfunc])
`to_guess`()
`to_plot`([yfunc, staterrfunc])

Attributes Documentation

filter¶: Filter for dependent variable

mask¶: Mask array for dependent variable

Methods Documentation

apply_filter(data)¶

eval_model(modelfunc)¶

eval_model_to_fit(modelfunc)¶

get_dep(filter=False)[source]¶

get_dims()¶

get_error(filter=False, staterrfunc=None)¶

Return the total error on the dependent variable.

Parameters:	filter (bool, optional) – Should the filter attached to the data set be applied to the return value or not. The default is False. staterrfunc (function) – If no statistical error has been set, the errors will be calculated by applying this function to the dependent axis of the data set.
Returns:	axis – The error for each data point, formed by adding the statistical and systematic errors in quadrature.
Return type:	array or None

See also

get_dep(): Return the independent axis of a data set.
get_staterror(): Return the statistical errors on the dependent axis of a data set.
get_syserror(): Return the systematic errors on the dependent axis of a data set.

get_img(yfunc=None)¶: Return dependent variable as an image

get_imgerr(yfunc=None)¶: Return total error in dependent variable as an image

get_indep(filter=False)¶

Return the independent axes of a data set.

Parameters:	filter (bool, optional) – Should the filter attached to the data set be applied to the return value or not. The default is False.
Returns:	axis – The independent axis values for the data set. This gives the coordinates of each point in the data set.
Return type:	tuple of arrays

See also

get_dep(): Return the dependent axis of a data set.

get_staterror(filter=False, staterrfunc=None)¶

Return the statistical error on the dependent axis of a data set.

Parameters:	filter (bool, optional) – Should the filter attached to the data set be applied to the return value or not. The default is False. staterrfunc (function) – If no statistical error has been set, the errors will be calculated by applying this function to the dependent axis of the data set.
Returns:	axis – The statistical error for each data point. A value of None is returned if the data set has no statistical error array and staterrfunc is None.
Return type:	array or None

See also

get_error(): Return the errors on the dependent axis of a data set.
get_indep(): Return the independent axis of a data set.
get_syserror(): Return the systematic errors on the dependent axis of a data set.

get_syserror(filter=False)¶

Return the statistical error on the dependent axis of a data set.

Parameters:	filter (bool, optional) – Should the filter attached to the data set be applied to the return value or not. The default is False.
Returns:	axis – The systematic error for each data point. A value of None is returned if the data set has no systematic errors.
Return type:	array or None

See also

get_error(): Return the errors on the dependent axis of a data set.
get_indep(): Return the independent axis of a data set.
get_staterror(): Return the statistical errors on the dependent axis of a data set.

get_x(filter=False)¶: Return linear view of independent axis/axes

get_x0(filter=False)¶: Return first dimension in 2-D view of independent axis/axes

get_x0label()¶: Return label for first dimension in 2-D view of independent axis/axes

get_x1(filter=False)¶: Return second dimension in 2-D view of independent axis/axes

get_x1label()¶: Return label for second dimension in 2-D view of independent axis/axes

get_xerr(filter=False)¶: Return linear view of bin size in independent axis/axes

get_xlabel()¶: Return label for linear view of independent axis/axes

get_y(filter=False, yfunc=None)¶: Return dependent axis in N-D view of dependent variable

get_yerr(filter=False, staterrfunc=None)¶: Return errors in dependent axis in N-D view of dependent variable

get_ylabel(yfunc=None)¶: Return label for dependent axis in N-D view of dependent variable

ignore(*args, **kwargs)¶

notice(mins, maxes, axislist, ignore=False)¶

set_dep(val)[source]¶: Set the dependent variable values

to_contour(yfunc=None)¶

to_fit(staterrfunc=None)¶

to_guess()¶

to_plot(yfunc=None, staterrfunc=None)¶