matrix.tofile(fid, sep="", format="%s") Write array to a file as text or binary (default). Data is always written

numpy.polynomial.legendre.legdomain = array([-1, 1])

numpy.nanmax(a, axis=None, out=None, keepdims=False)

MaskedArray.__rpow__(other)

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

numpy.mod(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

numpy.column_stack(tup)

New in version 1.7.0. Starting in NumPy 1.7, there are core array data types which natively

MaskedArray.iscontiguous()

MaskedArray.transpose(*axes)