astro py:docs

- Index
- Modules

### Navigation

- next »
- « previous |
- Astropy v5.2.1 »
- N-Dimensional Datasets (`astropy.nddata`) »
- NDDataRef

# NDDataRef

class astropy.nddata.NDDataRef(data, uncertainty=None, mask=None, wcs=None, meta=None, unit=None, copy=False, psf=None)

  Bases: `NDArithmeticMixin`, `NDIOMixin`, `NDSlicingMixin`, `NDData`

  Implements `NDData` with all Mixins.

  This class implements a `NDData`-like container that supports reading and writing as implemented in the `astropy.io.registry` and also slicing (indexing) and simple arithmetics (add, subtract, divide and multiply).

  See also

  `NDData`
  `NDArithmeticMixin`
  `NDSlicingMixin`
  `NDIOMixin`

  Notes

  A key distinction from `NDDataArray` is that this class does not attempt to provide anything that was not defined in any of the parent classes.

  Examples

  The mixins allow operation that are not possible with `NDData` or `NDDataBase`, i.e. simple arithmetics:

      >>> from astropy.nddata import NDDataRef, StdDevUncertainty
      >>> import numpy as np

      >>> data = np.ones((3,3), dtype=float)
      >>> ndd1 = NDDataRef(data, uncertainty=StdDevUncertainty(data))
      >>> ndd2 = NDDataRef(data, uncertainty=StdDevUncertainty(data))

      >>> ndd3 = ndd1.add(ndd2)
      >>> ndd3.data
      array([[2., 2., 2.],
             [2., 2., 2.],
             [2., 2., 2.]])
      >>> ndd3.uncertainty.array
      array([[1.41421356, 1.41421356, 1.41421356],
             [1.41421356, 1.41421356, 1.41421356],
             [1.41421356, 1.41421356, 1.41421356]])

  see `NDArithmeticMixin` for a complete list of all supported arithmetic operations.

  But also slicing (indexing) is possible:

      >>> ndd4 = ndd3[1,:]
      >>> ndd4.data
      array([2., 2., 2.])
      >>> ndd4.uncertainty.array
      array([1.41421356, 1.41421356, 1.41421356])

  See `NDSlicingMixin` for a description how slicing works (which attributes) are sliced.