numpy.polynomial.legendre.legfromroots(roots)

class numpy.random.RandomState Container for the Mersenne Twister pseudo-random number generator.

numpy.random.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode = 0. Also

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

MaskedArray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the

numpy.histogramdd(sample, bins=10, range=None, normed=False, weights=None)

classmethod HermiteE.fromroots(roots, domain=[], window=None)

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

numpy.cos(x[, out]) = Cosine element-wise.

generic.tostring() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from