numpy.ma.sort#

ma.sort(a, axis=-1, kind=None, order=None, endwith=True, fill_value=None, *, stable=None)[source]#

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)