MultiExtract1dImageModel¶
-
class
jwst.datamodels.
MultiExtract1dImageModel
(init=None, **kwargs)[source]¶ Bases:
jwst.datamodels.ReferenceFileModel
A data model for extract_1d reference images.
This model has a special member
images
that can be used to deal with each image separately. It behaves like a list:>>> from . import Extract1dImageModel >>> multiextr1d_img_model = MultiExtract1dImageModel() >>> multiextr1d_img_model.images.append(Extract1dImageModel()) >>> multiextr1d_img_model.images[0] <Extract1dImageModelModel>
If
init
is a file name or anExtract1dImageModel
instance, an emptyExtract1dImageModel
will be created and assigned to attributeimages[0]
, and thedata
attribute from the input array orExtract1dImageModel
will be copied to the first element ofimages
.- Parameters
images.items.data (numpy float32 array) –
init (str, tuple,
HDUList
, ndarray, dict, None) –None : Create a default data model with no shape.
tuple : Shape of the data array. Initialize with empty data array with shape specified by the.
file path: Initialize from the given file (FITS or ASDF)
readable file object: Initialize from the given file object
HDUList
: Initialize from the givenHDUList
.A numpy array: Used to initialize the data array
dict: The object model tree for the data model
schema (dict, str (optional)) – Tree of objects representing a JSON schema, or string naming a schema. The schema to use to understand the elements on the model. If not provided, the schema associated with this class will be used.
memmap (bool) – Turn memmap of FITS file on or off. (default: False). Ignored for ASDF files.
pass_invalid_values (bool or None) – If
True
, values that do not validate the schema will be added to the metadata. IfFalse
, they will be set toNone
. IfNone
, value will be taken from the environmental PASS_INVALID_VALUES. Otherwise the default value isFalse
.strict_validation (bool or None) – If
True
, schema validation errors will generate an exception. IfFalse
, they will generate a warning. IfNone
, value will be taken from the environmental STRICT_VALIDATION. Otherwise, the default value isFalse
.validate_on_assignment (bool or None) – Defaults to ‘None’. If
None
, value will be taken from the environmental VALIDATE_ON_ASSIGNMENT, defaulting to ‘True’ if no environment variable is set. If ‘True’, attribute assignments are validated at the time of assignment. Validation errors generate warnings and values will be set toNone
. If ‘False’, schema validation occurs only once at the time of write. Validation errors generate warnings.ignore_missing_extensions (bool) – When
False
, raise warnings when a file is read that contains metadata about extensions that are not available. Defaults toTrue
.kwargs (dict) –
Additional keyword arguments passed to lower level functions. These arguments are generally file format-specific. Arguments of note are:
available built-in formats are (The) –
==== ===== ============= (=========) – Format Read Write Auto-identify
==== ===== ============= –
Yes Yes Yes (datamodel) –
==== ===== ============= –
Attributes Summary
Attributes Documentation
-
schema_url
= 'http://stsci.edu/schemas/jwst_datamodel/multiextract1d.schema'¶