astropy.nddata.nddata_withmixins 源代码

# Licensed under a 3-clause BSD style license - see LICENSE.rst

"""
This module implements a class based on NDData with all Mixins.
"""


from .nddata import NDData

from .mixins.ndslicing import NDSlicingMixin
from .mixins.ndarithmetic import NDArithmeticMixin
from .mixins.ndio import NDIOMixin

__all__ = ['NDDataRef']


[文档]class NDDataRef(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). 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. See also -------- NDData NDArithmeticMixin NDSlicingMixin NDIOMixin 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 # doctest: +FLOAT_CMP array([[2., 2., 2.], [2., 2., 2.], [2., 2., 2.]]) >>> ndd3.uncertainty.array # doctest: +FLOAT_CMP 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 # doctest: +FLOAT_CMP array([2., 2., 2.]) >>> ndd4.uncertainty.array # doctest: +FLOAT_CMP array([1.41421356, 1.41421356, 1.41421356]) See `NDSlicingMixin` for a description how slicing works (which attributes) are sliced. """ pass