Data1D

class sherpa.data.Data1D(name, x, y, staterror=None, syserror=None)

Bases: sherpa.data.Data

Attributes Summary

dep	Left for compatibility with older versions
indep	Return the grid of the data space associated with this data set.
mask	Mask array for dependent variable
x	Used for compatibility, in particular for __str__ and __repr__

Methods Summary

apply_filter(data)
eval_model(modelfunc)
eval_model_to_fit(modelfunc)
get_bounding_mask()
get_dep([filter])	Return the dependent axis of a data set.
get_dims([filter])	Return the dimensions of this data space as a tuple of tuples.
get_error([filter, staterrfunc])	Return the total error on the dependent variable.
get_evaluation_indep([filter, model, ...])
get_filter([format, delim])
get_filter_expr()
get_img([yfunc])	Return 1D dependent variable as a 1 x N image
get_imgerr()
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, model, use_evaluation_space])
get_xerr([filter, yfunc])	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, use_evaluation_space])	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([xlo, xhi, ignore])
set_dep(val)	Set the dependent variable values"
set_indep(val)
to_component_plot([yfunc, staterrfunc])
to_fit([staterrfunc])
to_guess()
to_plot([yfunc, staterrfunc])

Attributes Documentation

dep

Left for compatibility with older versions

indep

Return the grid of the data space associated with this data set. :returns: :rtype: tuple of array_like

mask

Mask array for dependent variable

Returns

mask

Return type

bool or numpy.ndarray

x

Used for compatibility, in particular for __str__ and __repr__

Methods Documentation

apply_filter(data)

eval_model(modelfunc)

eval_model_to_fit(modelfunc)

get_bounding_mask()

get_dep(filter=False)

Return 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 dependent axis values for the data set. This gives the value of each point in the data set.

Return type

array

See also

get_indep

Return the independent axis of a data set.

get_error

Return the errors on the dependent 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_dims(filter=False)

Return the dimensions of this data space as a tuple of tuples. The first element in the tuple is a tuple with the dimensions of the data space, while the second element provides the size of the dependent array. :returns: :rtype: tuple

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_evaluation_indep(filter=False, model=None, use_evaluation_space=False)

get_filter(format='%.4f', delim=':')

get_filter_expr()

get_img(yfunc=None)

Return 1D dependent variable as a 1 x N image

Parameters

yfunc –

get_imgerr()

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, model=None, use_evaluation_space=False)

get_xerr(filter=False, yfunc=None)

Return linear view of bin size in independent axis/axes”

Parameters

• filter –

• yfunc –

get_xlabel()

Return label for linear view of independent axis/axes

get_y(filter=False, yfunc=None, use_evaluation_space=False)

Return dependent axis in N-D view of dependent variable”

Parameters

• filter –

• yfunc –

• use_evaluation_space –

get_yerr(filter=False, staterrfunc=None)

Return errors in dependent axis in N-D view of dependent variable

Parameters

• filter –

• staterrfunc –

get_ylabel(yfunc=None)

Return label for dependent axis in N-D view of dependent variable”

Parameters

yfunc –

ignore(*args, **kwargs)

notice(xlo=None, xhi=None, ignore=False)

set_dep(val)

Set the dependent variable values”

Parameters

val –

set_indep(val)

to_component_plot(yfunc=None, staterrfunc=None)

to_fit(staterrfunc=None)

to_guess()

to_plot(yfunc=None, staterrfunc=None)