numpy.set_string_function(f, repr=True)

numpy.polynomial.hermite.hermroots(c)

chararray.replace(old, new, count=None)

numpy.random.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape. The

numpy.ma.cov(x, y=None, rowvar=True, bias=False, allow_masked=True, ddof=None)

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)

chararray.tofile(fid, sep="", format="%s") Write array to a file as text or binary (default). Data

numpy.maximum(x1, x2[, out]) = Element-wise maximum of array elements. Compare two arrays and returns a new array containing

numpy.fft.rfftfreq(n, d=1.0)

numpy.linalg.eigh(a, UPLO='L')