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

Polynomial.__call__(arg)

chararray.isspace()

MaskedArray.transpose(*axes)

numpy.linalg.eigh(a, UPLO='L')

Hermite.trim(tol=0)

RandomState.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special

numpy.nan_to_num(x)

numpy.exp(x[, out]) = Calculate the exponential of all elements in the input array.

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