EvaluationSpace1D

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

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.

Parameters

x (array_like or None, optional) – The data array, or the low end of the data bins if the dataset is “integrated”
xhi (array_like or None, optional) – The high end of the data bins for integrated datasets.

Attributes Summary

`end`	The end (highest value) of the space.
`grid`	The grid representation of the space.
`is_ascending`	Is the space ascending?
`is_empty`	Is the space empty (the x axis has no elements)?
`is_integrated`	Is the space integrated?
`midpoint_grid`	The mid-points of the space.
`start`	The start (lowest value) of the space.

Methods Summary

`overlaps`(other)	Check if this evaluation space overlaps with another.
`zeros_like`()	Returns zeroes for each element of the space.

Attributes Documentation

grid

The grid representation of the space.

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

midpoint_grid

The mid-points of the space.

For non-integrated spaces this returns the X axis.

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

Methods Documentation

Check if this evaluation space overlaps with another.

Returns zeroes for each element of the space.