# numpy.fft.irfft2

fft.irfft2(a, s=None, axes=(-2, -1), norm=None)

  Computes the inverse of `rfft2`.

  Parameters:
    a array_like

      The input array

    s sequence of ints, optional

      Shape of the real output to the inverse FFT.

    axes sequence of ints, optional

      The axes over which to compute the inverse fft. Default is the last two axes.

    norm{“backward”, “ortho”, “forward”}, optional

      New in version 1.10.0.

      Normalization mode (see `numpy.fft`). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor.

      New in version 1.20.0: The “backward”, “forward” values were added.

  Returns:
    out ndarray

      The result of the inverse real 2-D FFT.

  See also

  `rfft2`

    The forward two-dimensional FFT of real input, of which `irfft2` is the inverse.

  `rfft`

    The one-dimensional FFT for real input.

  `irfft`

    The inverse of the one-dimensional FFT of real input.

  `irfftn`

    Compute the inverse of the N-dimensional FFT of real input.

  Notes

  This is really `irfftn` with different defaults. For more details see `irfftn`.

  Examples

      >>> a = np.mgrid[:5, :5][0]
      >>> A = np.fft.rfft2(a)
      >>> np.fft.irfft2(A, s=a.shape)
      array([[0., 0., 0., 0., 0.],
             [1., 1., 1., 1., 1.],
             [2., 2., 2., 2., 2.],
             [3., 3., 3., 3., 3.],
             [4., 4., 4., 4., 4.]])