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)
| 7014 | argsort.__doc__ = MaskedArray.argsort.__doc__ |
| 7015 | |
| 7016 | def sort(a, axis=-1, kind=None, order=None, endwith=True, fill_value=None): |
| 7017 | """ |
| 7018 | Return a sorted copy of the masked array. |
| 7019 | |
| 7020 | Equivalent to creating a copy of the array |
| 7021 | and applying the MaskedArray ``sort()`` method. |
| 7022 | |
| 7023 | Refer to ``MaskedArray.sort`` for the full documentation |
| 7024 | |
| 7025 | See Also |
| 7026 | -------- |
| 7027 | MaskedArray.sort : equivalent method |
| 7028 | |
| 7029 | Examples |
| 7030 | -------- |
| 7031 | >>> import numpy.ma as ma |
| 7032 | >>> x = [11.2, -3.973, 0.801, -1.41] |
| 7033 | >>> mask = [0, 0, 0, 1] |
| 7034 | >>> masked_x = ma.masked_array(x, mask) |
| 7035 | >>> masked_x |
| 7036 | masked_array(data=[11.2, -3.973, 0.801, --], |
| 7037 | mask=[False, False, False, True], |
| 7038 | fill_value=1e+20) |
| 7039 | >>> ma.sort(masked_x) |
| 7040 | masked_array(data=[-3.973, 0.801, 11.2, --], |
| 7041 | mask=[False, False, False, True], |
| 7042 | fill_value=1e+20) |
| 7043 | """ |
| 7044 | a = np.array(a, copy=True, subok=True) |
| 7045 | if axis is None: |
| 7046 | a = a.flatten() |
| 7047 | axis = 0 |
| 7048 | |
| 7049 | if isinstance(a, MaskedArray): |
| 7050 | a.sort(axis=axis, kind=kind, order=order, |
| 7051 | endwith=endwith, fill_value=fill_value) |
| 7052 | else: |
| 7053 | a.sort(axis=axis, kind=kind, order=order) |
| 7054 | return a |
| 7055 | |
| 7056 | |
| 7057 | def compressed(x): |