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

dtype.newbyteorder(new_order='S') Return a new dtype with a different byte order. Changes are also made in all

chararray.swapcase()

ndarray.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

numpy.nper(rate, pmt, pv, fv=0, when='end')

ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

Legendre.convert(domain=None, kind=None, window=None)

ndarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to