Source code for astropy.nddata.nddata_base

# Licensed under a 3-clause BSD style license - see LICENSE.rst
# This module implements the base NDDataBase class.

from abc import ABCMeta, abstractmethod

__all__ = ["NDDataBase"]

[docs] class NDDataBase(metaclass=ABCMeta): """Base metaclass that defines the interface for N-dimensional datasets with associated meta information used in ``astropy``. All properties and ``__init__`` have to be overridden in subclasses. See `NDData` for a subclass that defines this interface on `numpy.ndarray`-like ``data``. See also: """ @abstractmethod def __init__(self): pass @property @abstractmethod def data(self): """The stored dataset.""" @property @abstractmethod def mask(self): """Mask for the dataset. Masks should follow the ``numpy`` convention that **valid** data points are marked by ``False`` and **invalid** ones with ``True``. """ return None @property @abstractmethod def unit(self): """Unit for the dataset.""" return None @property @abstractmethod def wcs(self): """World coordinate system (WCS) for the dataset.""" return None # psf is concrete to avoid introducing a breaking change in release 5.2. @property def psf(self): """Image representation of the PSF for the dataset. Should be `ndarray`-like. """ return None @property @abstractmethod def meta(self): """Additional meta information about the dataset. Should be `dict`-like. """ return None @property @abstractmethod def uncertainty(self): """Uncertainty in the dataset. Should have an attribute ``uncertainty_type`` that defines what kind of uncertainty is stored, such as ``"std"`` for standard deviation or ``"var"`` for variance. """ return None