MaskedArray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in

MaskedArray.__radd__(other)

MaskedArray.__repr__()

numpy.diag_indices(n, ndim=2)

numpy.put(a, ind, v, mode='raise')

numpy.ma.flatnotmasked_edges(a)

nditer.remove_axis(i) Removes axis i from the iterator. Requires that the flag ?multi_index? be enabled

record.tobytes()

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

numpy.c_ = Translates slice objects to concatenation along the second axis. This is short-hand for np.r_['-1,2,0', index