numpy 1.24.3 Pypi GitHub Homepage

---

Other Docs

---

---

NotesParametersReturnsBackRef

Notes

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

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.

Returns

out : ndarray

The result of the inverse real 2-D FFT.

See Also

irfft

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

irfftn

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

rfft

The one-dimensional FFT for real input.

rfft2

The forward two-dimensional FFT of real input, of which

:None:None:`irfft2`

is the inverse.

Examples

a = np.mgrid[:5, :5][0]
A = np.fft.rfft2(a)
np.fft.irfft2(A, s=a.shape)

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them