scipy.fft.
rfft2#
- scipy.fft.rfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)[source]#
- Compute the 2-D FFT of a real array. - Parameters:
- xarray
- Input array, taken to be real. 
- ssequence of ints, optional
- Shape of the FFT. 
- axessequence of ints, optional
- Axes over which to compute the FFT. 
- norm{“backward”, “ortho”, “forward”}, optional
- Normalization mode (see - fft). Default is “backward”.
- overwrite_xbool, optional
- If True, the contents of x can be destroyed; the default is False. See - fftfor more details.
- workersint, optional
- Maximum number of workers to use for parallel computation. If negative, the value wraps around from - os.cpu_count(). See- fftfor more details.
- planobject, optional
- This argument is reserved for passing in a precomputed plan provided by downstream FFT vendors. It is currently not used in SciPy. - Added in version 1.5.0. 
 
- Returns:
- outndarray
- The result of the real 2-D FFT. 
 
 - See also - Notes - This is really just - rfftnwith different default behavior. For more details see- rfftn.- Examples - >>> import scipy.fft >>> import numpy as np >>> x = np.broadcast_to([1, 0, -1, 0], (4, 4)) >>> scipy.fft.rfft2(x) array([[0.+0.j, 8.+0.j, 0.+0.j], [0.+0.j, 0.+0.j, 0.+0.j], [0.+0.j, 0.+0.j, 0.+0.j], [0.+0.j, 0.+0.j, 0.+0.j]])