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

classmethod Chebyshev.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

dtype.subdtype Tuple (item_dtype, shape) if this

numpy.setdiff1d(ar1, ar2, assume_unique=False)

ndarray.any(axis=None, out=None, keepdims=False) Returns True if any of the elements of a evaluate to True.

numpy.less_equal(x1, x2[, out]) = Return the truth value of (x1 =< x2) element-wise.

MaskedArray.__rlshift__ x.__rlshift__(y) <==> y<<x

numpy.polynomial.laguerre.lagfromroots(roots)

numpy.polynomial.legendre.legroots(c)

numpy.ma.MaskType