MaskedArray.shrink_mask()

MaskedArray.reshape(*s, **kwargs)

numpy.ma.ptp(obj, axis=None, out=None, fill_value=None)

numpy.ma.apply_along_axis(func1d, axis, arr, *args, **kwargs)

MaskedArray.compressed()

numpy.ma.notmasked_contiguous(a, axis=None)

numpy.ma.vander(x, n=None)

numpy.ma.set_fill_value(a, fill_value)

numpy.ma.std(self, axis=None, dtype=None, out=None, ddof=0) = Compute the standard deviation along the specified axis. Returns

numpy.ma.masked_object(x, value, copy=True, shrink=True)