open

stdatamodels.jwst.datamodels.open(init=None, guess=True, memmap=False, **kwargs)

Creates a DataModel from a number of different types

Parameters:

initshape tuple, file path, file object, astropy.io.fits.HDUList,

numpy array, dict, None

• None: A default data model with no shape

• shape tuple: Initialize with empty data of the given shape

• file path: Initialize from the given file (FITS, JSON 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: A new model with the data array initialized to what was passed in.

• dict: The object model tree for the data model

guessbool

Guess as to the model type if the model type is not specifically known from the file. If not guess and the model type is not explicit, raise a TypeError.

memmapbool

Turn memmap of file on or off. (default: False).

kwargsdict

Additional keyword arguments passed to the DataModel constructor. Some arguments are general, others are file format-specific. Arguments of note are:

• General

  validate_arraysbool

  If True, arrays will be validated against ndim, max_ndim, and datatype validators in the schemas.

• FITS

  skip_fits_updatebool 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.

Returns:

modelDataModel instance