numpy.fft.irfft2#
- fft.irfft2(a, s=None, axes=(-2, -1), norm=None, out=None)[source]#
Computes the inverse of
rfft2
.- Parameters:
- aarray_like
The input array
- ssequence of ints, optional
Shape of the real output to the inverse FFT.
Changed in version 2.0: If it is
-1
, the whole input is used (no padding/trimming).Deprecated since version 2.0: If s is not
None
, axes must not beNone
either.Deprecated since version 2.0: s must contain only
int
s, notNone
values.None
values currently mean that the default value forn
is used in the corresponding 1-D transform, but this behaviour is deprecated.- axessequence of ints, optional
The axes over which to compute the inverse fft. Default:
(-2, -1)
, the last two axes.Deprecated since version 2.0: If s is specified, the corresponding axes to be transformed must not be
None
.- 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.
- outndarray, optional
If provided, the result will be placed in this array. It should be of the appropriate shape and dtype for the last transformation.
New in version 2.0.0.
- Returns:
- outndarray
The result of the inverse real 2-D FFT.
See also
Notes
This is really
irfftn
with different defaults. For more details seeirfftn
.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.]])