DataSpace1D
- class sherpa.data.DataSpace1D(filter, x)[source] [edit on github]
Bases:
EvaluationSpace1D
Class for representing 1-D Data Space. Data Spaces are spaces that describe the data domain. As models can be evaluated over data spaces, data spaces can be considered evaluation spaces themselves. However this “is-a” relationship is in the code mostly for convenience and could be removed in future versions.
Attributes Summary
The end (highest value) of the space.
The grid representation of the space.
Is the space ascending?
Is the space empty (the x axis has no elements)?
Is the space integrated?
The mid-points of the space.
The start (lowest value) of the space.
Methods Summary
for_model
(model)Models can be defined over arbitrary evaluation spaces.
get
([filter])Get a filtered representation of this data set.
overlaps
(other)Check if this evaluation space overlaps with another.
Returns zeroes for each element of the space.
Attributes Documentation
- end
The end (highest value) of the space.
- 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:
- 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.
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
- start
The start (lowest value) of the space.
Methods Documentation
- for_model(model)[source] [edit on github]
Models can be defined over arbitrary evaluation spaces. However, at evaluation time during a fit, the model’s evaluation space shall be done at the user’s request space only and set to 0 every where else.
- Parameters:
model (The model whose evaluation space needs to be joined with the dataset's data space.)
- Returns:
A data space that joins this data space with the model’s evaluation space. if the model does not have an evaluation space assigned to itself then
self
is returned.- Return type:
- get(filter=False)[source] [edit on github]
Get a filtered representation of this data set. If
filter
isFalse
this object is returned.- Parameters:
filter (bool) – whether the data set should be filtered before being returned
- Return type:
- overlaps(other) [edit on github]
Check if this evaluation space overlaps with another.
- Parameters:
other (EvaluationSpace1D) – The space to compare to.
- Returns:
True if they overlap, False if not
- Return type:
- zeros_like() [edit on github]
Returns zeroes for each element of the space.
- Returns:
A one-dimensional array.
- Return type:
array