# xorbits.numpy.fft.irfft2#

xorbits.numpy.fft.irfft2(a, s=None, axes=(- 2, - 1), norm=None)[source]#

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(numpy.fft).

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(numpy.fft): The “backward”, “forward” values were added.

Returns

out – The result of the inverse real 2-D FFT.

Return type

ndarray

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.]])

This docstring was copied from numpy.fft.