numpy.ma.average(a, axis=None, weights=None, returned=False)

numpy.random.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive) to

numpy.ma.compress_rows(a)

classmethod Chebyshev.cast(series, domain=None, window=None)

numpy.random.rand(d0, d1, ..., dn) Random values in a given shape. Create an array of the given shape and populate

numpy.ma.reshape(a, new_shape, order='C')

numpy.ma.atleast_3d(*arys) = View inputs as arrays with at least three dimensions.

numpy.polynomial.laguerre.lagsub(c1, c2)

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)

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