xorbits.numpy.fft.rfft2#

xorbits.numpy.fft.rfft2(a, s=None, axes=(- 2, - 1), norm=None)[source]#

Compute the 2-dimensional FFT of a real array.

Parameters

  • a (array) – Input array, taken to be real.

  • s (sequence of ints, optional) – Shape of the FFT.

  • axes (sequence of ints, optional) – Axes over which to compute the FFT.

  • 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 real 2-D FFT.

Return type

ndarray

See also

rfftn

Compute the N-dimensional discrete Fourier Transform for real input.

Notes

This is really just rfftn with different default behavior. For more details see rfftn.

Examples

>>> a = np.mgrid[:5, :5][0]  
>>> np.fft.rfft2(a)  
array([[ 50.  +0.j        ,   0.  +0.j        ,   0.  +0.j        ],
       [-12.5+17.20477401j,   0.  +0.j        ,   0.  +0.j        ],
       [-12.5 +4.0614962j ,   0.  +0.j        ,   0.  +0.j        ],
       [-12.5 -4.0614962j ,   0.  +0.j        ,   0.  +0.j        ],
       [-12.5-17.20477401j,   0.  +0.j        ,   0.  +0.j        ]])

This docstring was copied from numpy.fft.