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

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

numpy.ravel(a, order='C')

classmethod Polynomial.basis(deg, domain=None, window=None)

numpy.array_equiv(a1, a2)

numpy.column_stack(tup)

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

numpy.getbufsize()

numpy.random.noncentral_f(dfnum, dfden, nonc, size=None) Draw samples from the noncentral F distribution. Samples

numpy.arcsinh(x[, out]) = Inverse hyperbolic sine element-wise.