numpy.polynomial.chebyshev.chebsub(c1, c2)

numpy.core.defchararray.isupper(a)

Polynomial.linspace(n=100, domain=None)

numpy.core.defchararray.encode(a, encoding=None, errors=None)

generic.cumprod() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from,

MaskedArray.astype(newtype)

numpy.tril_indices(n, k=0, m=None)

recarray.nonzero() Return the indices of the elements that are non-zero. Refer to

generic.shape tuple of array dimensions

numpy.nanpercentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)