ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

ndarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

numpy.add(x1, x2[, out]) = Add arguments element-wise.

recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

numpy.random.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1).

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

numpy.ma.is_mask(m)

numpy.ma.getmask(a)

record.mean() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

numpy.ma.diag(v, k=0)