chararray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n

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

numpy.core.defchararray.lstrip(a, chars=None)

MaskedArray.copy(order='C')

Polynomials in NumPy can be created, manipulated, and even fitted using the

numpy.union1d(ar1, ar2)

broadcast.shape Shape of broadcasted result. Examples

Polynomial.degree()

numpy.ldexp(x1, x2[, out]) = Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2

MaskedArray.ptp(axis=None, out=None, fill_value=None)