EvaluationSpace1D¶

class sherpa.models.regrid.EvaluationSpace1D(x=None, xhi=None)[source] [edit on github]¶

Bases: object

Class for 1D Evaluation Spaces. An Evaluation Space is a set of data axes representing the data space over which a model can be evaluated.

A 1D Evaluation Space has only one axis.

Attributes Summary

`end`	The end of the dataset.
`grid`	Return the grid representation of this dataset.
`is_ascending`	Is the dataset ascending?
`is_empty`	Is the dataset empty?
`is_integrated`	Is the grid integrated?
`midpoint_grid`	Return a single array representing the dataset.
`start`	The start of the dataset.

Methods Summary

`overlaps`(other)	Check if this evaluation space overlaps with another :param other: :type other: EvaluationSpace1D
`zeros_like`()	Utility function that returns an array of zeros that has the same shape as the dataset.

Attributes Documentation

end¶

The end of the dataset.

Returns:	The end of the x axis array
Return type:	number

grid¶

Return the grid representation of this dataset. The grid is always a tuple, even if the dataset is 1-D and not integrated. This is due to the existing architecture of Sherpa’s model classes and the fact that there is no signature difference among 1-D and 2-D models, as 1-D models can receive 1 or 2 arrays and 2-D models can receive 2 or 4 arrays.

Returns:	A tuple representing the x axis. The tuple will contain two arrays if the dataset is integrated, one otherwise.
Return type:	tuple

is_ascending¶

Is the dataset ascending?

Returns:	True if the x axis is ascending, False otherwise.
Return type:	bool

is_empty¶

Is the dataset empty?

Returns:	True if the x axis is empty, False otherwise
Return type:	bool

is_integrated¶

Is the grid integrated?

Returns:	True if the x axis is integrated, False otherwise.
Return type:	bool

midpoint_grid¶

Return a single array representing the dataset.

Returns:	Return the average point of the bins of integrated axes, for each bin, or the non-integrated x axis array.
Return type:	array

start¶

The start of the dataset.

Returns:	The start of the x axis array
Return type:	number

Methods Documentation

overlaps(other)[source] [edit on github]¶

Check if this evaluation space overlaps with another :param other: :type other: EvaluationSpace1D

Returns:	True if they overlap, False if not
Return type:	bool

zeros_like()[source] [edit on github]¶

Utility function that returns an array of zeros that has the same shape as the dataset.

Returns:
Return type:	array