numpy.ma.common_fill_value(a, b)

chararray.reshape(shape, order='C') Returns an array containing the same data with a new shape.

numpy.polynomial.hermite_e.hermediv(c1, c2)

chararray.count(sub, start=0, end=None)

MaskedArray.__getstate__()

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

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

numpy.fft.rfft2(a, s=None, axes=(-2, -1), norm=None)

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

numpy.source(object, output=', mode 'w' at 0x402ae078>)