numpy.random.exponential(scale=1.0, size=None) Draw samples from an exponential distribution. Its probability

numpy.polynomial.chebyshev.chebx = array([0, 1])

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

MaskedArray.get_fill_value()

numpy.polynomial.polynomial.polyx = array([0, 1])

Hermite.convert(domain=None, kind=None, window=None)

Chebyshev.degree()

RandomState.bytes(length) Return random bytes.

numpy.mat(data, dtype=None)

numpy.random.sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results are from the