NirspecIFUCubeParsModel
- class stdatamodels.jwst.datamodels.NirspecIFUCubeParsModel(init=None, **kwargs)
Bases:
ReferenceFileModel
A data model for Nirspec ifucubepars reference files.
Parameters
- ifucubepars_tablenumpy table
default IFU cube parameters table
- ifucubepars_msm_tablenumpy table
default IFU cube msm parameters table
- ifucubepars_prism_msm_wavetablenumpy table
default IFU cube prism msm wavetable
- ifucubepars_med_msm_wavetablenumpy table
default IFU cube med resolution msm wavetable
- ifucubepars_high_msm_wavetablenumpy table
default IFU cube high resolution msm wavetable
- ifucubepars_emsm_tablenumpy table
default IFU cube emsm parameters table
- ifucubepars_prism_emsm_wavetablenumpy table
default IFU cube prism emsm wavetable
- ifucubepars_med_emsm_wavetablenumpy table
default IFU cube med resolution emsm wavetable
- ifucubepars_high_emsm_wavetablenumpy table
default IFU cube high resolution emsm wavetable
- ifucubepars_prism_driz_wavetablenumpy float32 array
default IFU cube prism drizzle wavetable
- ifucubepars_med_driz_wavetablenumpy float32 array
default IFU cube med resolution drizzle wavetable
- ifucubepars_high_driz_wavetablenumpy float32 array
default IFU cube high resolution drizzle wavetable
- Parameters:
- initstr, tuple, ~astropy.io.fits.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
~astropy.io.fits.HDUList : Initialize from the given ~astropy.io.fits.HDUList.
A numpy array: Used to initialize the data array
dict: The object model tree for the data model
- schemadict, 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.
- memmapbool
Turn memmap of FITS/ASDF file on or off. (default: False).
- pass_invalid_valuesbool or None
If True, values that do not validate the schema will be added to the metadata. If False, they will be set to None. If None, value will be taken from the environmental PASS_INVALID_VALUES. Otherwise the default value is False.
- strict_validationbool or None
If True, schema validation errors will generate an exception. If False, they will generate a warning. If None, value will be taken from the environmental STRICT_VALIDATION. Otherwise, the default value is False.
- validate_on_assignmentbool 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 to None. If ‘False’, schema validation occurs only once at the time of write. Validation errors generate warnings.
- validate_arraysbool
If True, arrays will be validated against ndim, max_ndim, and datatype validators in the schemas.
- ignore_missing_extensionsbool
When False, raise warnings when a file is read that contains metadata about extensions that are not available. Defaults to True.
- kwargsdict
Additional keyword arguments passed to lower level functions. These arguments are generally file format-specific. Arguments of note are:
FITS
- skip_fits_update - bool or None
DEPRECATED True to skip updating the ASDF tree from the FITS headers, if possible. If None, value will be taken from the environmental SKIP_FITS_UPDATE. Otherwise, the default value is True.
Attributes Summary
The schema URI to validate the model against.
Attributes Documentation
- schema_url = 'http://stsci.edu/schemas/jwst_datamodel/nirspec_ifucubepars.schema'
The schema URI to validate the model against. If None, only basic validation of required metadata properties (filename, model_type) will occur.