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
The end of the dataset.
Return the grid representation of this dataset.
Is the dataset ascending?
Is the dataset empty?
Is the grid integrated?
Return a single array representing the dataset.
The start of the dataset.
Methods Summary
overlaps
(other)Check if this evaluation space overlaps with another :param other: :type other: EvaluationSpace1D
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