numpy.savez_compressed(file, *args, **kwds)

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

numpy.mean(a, axis=None, dtype=None, out=None, keepdims=False)

numpy.polynomial.legendre.legone = array([1])

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

numpy.sign(x[, out]) = Returns an element-wise indication of the sign of a number. The

numpy.polynomial.chebyshev.chebline(off, scl)

numpy.polynomial.chebyshev.chebgauss(deg)

class numpy.format_parser(formats, names, titles, aligned=False, byteorder=None)

numpy.polynomial.legendre.legline(off, scl)