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- Astropy v5.2.1 »
- N-Dimensional Datasets (`astropy.nddata`) »
- NDSlicingMixin

# NDSlicingMixin

class astropy.nddata.NDSlicingMixin

  Bases: `object`

  Mixin to provide slicing on objects using the `NDData` interface.

  The `data`, `mask`, `uncertainty` and `wcs` will be sliced, if set and sliceable. The `unit` and `meta` will be untouched. The return will be a reference and not a copy, if possible.

  See also

  `NDDataRef`
  `NDDataArray`

  Examples

  Using this Mixin with `NDData`:

      >>> from astropy.nddata import NDData, NDSlicingMixin
      >>> class NDDataSliceable(NDSlicingMixin, NDData):
      ...     pass

  Slicing an instance containing data:

      >>> nd = NDDataSliceable([1,2,3,4,5])
      >>> nd[1:3]
      NDDataSliceable([2, 3])

  Also the other attributes are sliced for example the `mask`:

      >>> import numpy as np
      >>> mask = np.array([True, False, True, True, False])
      >>> nd2 = NDDataSliceable(nd, mask=mask)
      >>> nd2slc = nd2[1:3]
      >>> nd2slc[nd2slc.mask]
      NDDataSliceable([3])

  Be aware that changing values of the sliced instance will change the values of the original:

      >>> nd3 = nd2[1:3]
      >>> nd3.data[0] = 100
      >>> nd2
      NDDataSliceable([  1, 100,   3,   4,   5])