masked_array.mask Mask

numpy.fft.irfftn(a, s=None, axes=None, norm=None)

numpy.equal(x1, x2[, out]) = Return (x1 == x2) element-wise.

Hermite.integ(m=1, k=[], lbnd=None)

numpy.testing.Tester

iinfo.max Maximum value of given dtype.

numpy.invert(x[, out]) = Compute bit-wise inversion, or bit-wise NOT, element-wise. Computes the bit-wise NOT of the underlying

numpy.random.wald(mean, scale, size=None) Draw samples from a Wald, or inverse Gaussian, distribution. As the scale

Laguerre.has_sametype(other)

numpy.atleast_3d(*arys)