New in version 1.4.0. This module provides a number of objects (mostly functions) useful for dealing with Chebyshev series

classmethod Legendre.fromroots(roots, domain=[], window=None)

chararray.item(*args) Copy an element of an array to a standard Python scalar and return it.

chararray.count(sub, start=0, end=None)

numpy.ma.loads(strg)

chararray.flatten(order='C') Return a copy of the array collapsed into one dimension.

numpy.polynomial.hermite.hermval2d(x, y, c)

Polynomial.roots()

RandomState.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode =

numpy.polynomial.polynomial.polyzero = array([0])