Function sort

numpy/ma/core.py:7232–7272

Return a sorted copy of the masked array. Equivalent to creating a copy of the array and applying the MaskedArray ``sort()`` method. Refer to ``MaskedArray.sort`` for the full documentation See Also -------- MaskedArray.sort : equivalent method Examples ----

(a, axis=-1, kind=None, order=None, endwith=True, fill_value=None, *,
         stable=None, descending=None)

argsort.__doc__ = MaskedArray.argsort.__doc__

def sort(a, axis=-1, kind=None, order=None, endwith=True, fill_value=None, *,
         stable=None, descending=None):
    """
    Return a sorted copy of the masked array.

    Equivalent to creating a copy of the array
    and applying the  MaskedArray ``sort()`` method.

    Refer to ``MaskedArray.sort`` for the full documentation

    See Also
    --------
    MaskedArray.sort : equivalent method

    Examples
    --------
    >>> import numpy as np
    >>> import numpy.ma as ma
    >>> x = [11.2, -3.973, 0.801, -1.41]
    >>> mask = [0, 0, 0, 1]
    >>> masked_x = ma.masked_array(x, mask)
    >>> masked_x
    masked_array(data=[11.2, -3.973, 0.801, --],
                 mask=[False, False, False,  True],
           fill_value=1e+20)
    >>> ma.sort(masked_x)
    masked_array(data=[-3.973, 0.801, 11.2, --],
                 mask=[False, False, False,  True],
           fill_value=1e+20)
    """
    a = np.array(a, copy=True, subok=True)
    if axis is None:
        a = a.flatten()
        axis = 0

    if isinstance(a, MaskedArray):
        a.sort(axis=axis, kind=kind, order=order, endwith=endwith,
               fill_value=fill_value, stable=stable, descending=descending)
    else:
        a.sort(axis=axis, kind=kind, order=order, stable=stable, descending=descending)
    return a


def compressed(x):