DataRosatRMF¶
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class
sherpa.astro.data.
DataRosatRMF
(name, detchans, energ_lo, energ_hi, n_grp, f_chan, n_chan, matrix, offset=1, e_min=None, e_max=None, header=None, ethresh=None)[source] [edit on github]¶ Bases:
sherpa.astro.data.DataRMF
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 ui_name
x
Used for compatibility, in particular for __str__ and __repr__ xhi
Property kept for compatibility xlo
Property kept for compatibility Methods Summary
apply_filter
(data)apply_rmf
(src, *args, **kwargs)Fold the source array src through the RMF and return the result 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, model])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
()Return label for dependent axis in N-D view of dependent variable” ignore
(*args, **kwargs)notice
([noticed_chans])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
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dep
¶ Left for compatibility with older versions
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indep
¶ Return the grid of the data space associated with this data set. :returns: :rtype: tuple of array_like
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mask
¶ Mask array for dependent variable
Returns: mask Return type: bool or numpy.ndarray
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ui_name
= 'ROSAT RMF'¶
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x
¶ Used for compatibility, in particular for __str__ and __repr__
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xhi
¶ Property kept for compatibility
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xlo
¶ Property kept for compatibility
Methods Documentation
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apply_filter
(data) [edit on github]¶
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apply_rmf
(src, *args, **kwargs) [edit on github]¶ Fold the source array src through the RMF and return the result
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eval_model
(modelfunc) [edit on github]¶
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eval_model_to_fit
(modelfunc) [edit on github]¶
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get_bounding_mask
() [edit on github]¶
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get_dep
(filter=False) [edit on github]¶ 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.
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get_dims
(filter=False) [edit on github]¶ 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
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get_error
(filter=False, staterrfunc=None) [edit on github]¶ 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.
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get_evaluation_indep
(filter=False, model=None, use_evaluation_space=False) [edit on github]¶
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get_filter
(format='%.4f', delim=':') [edit on github]¶
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get_filter_expr
() [edit on github]¶
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get_img
(yfunc=None) [edit on github]¶ Return 1D dependent variable as a 1 x N image
Parameters: yfunc –
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get_imgerr
() [edit on github]¶
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get_indep
(filter=False) [edit on github]¶ 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.
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get_staterror
(filter=False, staterrfunc=None) [edit on github]¶ 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.
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get_syserror
(filter=False) [edit on github]¶ 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.
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get_x
(filter=False, model=None, use_evaluation_space=False) [edit on github]¶
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get_xerr
(filter=False, model=None) [edit on github]¶ Return linear view of bin size in independent axis/axes”
Parameters: - filter –
- yfunc –
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get_xlabel
() [edit on github]¶ Return label for linear view of independent axis/axes
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get_y
(filter=False, yfunc=None, use_evaluation_space=False) [edit on github]¶ Return dependent axis in N-D view of dependent variable”
Parameters: - filter –
- yfunc –
- use_evaluation_space –
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get_yerr
(filter=False, staterrfunc=None) [edit on github]¶ Return errors in dependent axis in N-D view of dependent variable
Parameters: - filter –
- staterrfunc –
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get_ylabel
() [edit on github]¶ Return label for dependent axis in N-D view of dependent variable”
Parameters: yfunc –
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ignore
(*args, **kwargs) [edit on github]¶
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notice
(noticed_chans=None) [edit on github]¶
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set_dep
(val) [edit on github]¶ Set the dependent variable values”
Parameters: val –
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set_indep
(val) [edit on github]¶
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to_component_plot
(yfunc=None, staterrfunc=None) [edit on github]¶
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to_fit
(staterrfunc=None) [edit on github]¶
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to_guess
() [edit on github]¶
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to_plot
(yfunc=None, staterrfunc=None) [edit on github]¶
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