numpy.ma.masked_less(x, value, copy=True)

numpy.ma.identity(n, dtype=None) = Return the identity array. The identity array is a square array with ones on the main

numpy.ma.size(obj, axis=None)

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

numpy.ma.make_mask_descr(ndtype)

numpy.ma.append(a, b, axis=None)

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

numpy.ma.copy(self, *args, **params) a.copy(order='C') = Return a copy of the array.

numpy.ma.is_mask(m)

numpy.ma.dump(a, F)