numpy.where(condition[, x, y]) Return elements, either from x or y, depending on condition

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

numpy.matlib.zeros(shape, dtype=None, order='C')

numpy.polynomial.hermite_e.hermevander(x, deg)

numpy.testing.assert_warns(warning_class, *args, **kwargs)

chararray.view(dtype=None, type=None) New view of array with the same data.

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

numpy.testing.assert_almost_equal(actual, desired, decimal=7, err_msg='', verbose=True)

numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None)

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn