chararray.isalnum()

numpy.ma.masked_where(condition, a, copy=True)

numpy.polynomial.polynomial.polyvander(x, deg)

numpy.polynomial.legendre.legvander(x, deg)

numpy.fft.fftn(a, s=None, axes=None, norm=None)

numpy.core.defchararray.split(a, sep=None, maxsplit=None)

numpy.polynomial.chebyshev.chebroots(c)

classmethod Laguerre.identity(domain=None, window=None)

RandomState.randn(d0, d1, ..., dn) Return a sample (or samples) from the ?standard normal? distribution. If

chararray.ljust(width, fillchar=' ')