RandomState.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples

numpy.polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False)

numpy.trim_zeros(filt, trim='fb')

Laguerre.copy()

RandomState.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples

Legendre.copy()

numpy.log10(x[, out]) = Return the base 10 logarithm of the input array, element-wise.

numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None)

numpy.promote_types(type1, type2) Returns the data type with the smallest size and smallest scalar kind to which both type1

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