{
  "__type": "IngestedDoc",
  "__tag": 4010,
  "_content": {
    "Notes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "FFT (Fast Fourier Transform) refers to a way the discrete Fourier Transform (DFT) can be calculated efficiently, by using symmetries in the calculated terms. The symmetry is highest when "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "n"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is a power of 2, and the transform is therefore most efficient for these sizes. For poorly factorizable sizes, "
            },
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "scipy.fft",
              "reference": {
                "__type": "LocalRef",
                "__tag": 4022,
                "kind": "module",
                "path": "scipy.fft"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " uses Bluestein's algorithm "
            },
            {
              "__type": "FootnoteReference",
              "__tag": 4066,
              "label": "2"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " and so is never worse than O("
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "n"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " log "
            },
            {
              "__type": "ParamRef",
              "__tag": 4071,
              "name": "n"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "). Further performance improvements may be seen by zero-padding the input using "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "next_fast_len",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "If "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is a 1d array, then the "
            },
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "fft",
              "reference": {
                "__type": "LocalRef",
                "__tag": 4022,
                "kind": "module",
                "path": "scipy.fft"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is equivalent to       "
            }
          ]
        },
        {
          "__type": "Code",
          "__tag": 4050,
          "value": "y[k] = np.sum(x * np.exp(-2j * np.pi * k * np.arange(n)/n))",
          "execution_status": null
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The frequency term "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "f=k/n"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is found at "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "y[k]"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": ". At "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "y[n/2]"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " we reach the Nyquist frequency and wrap around to the negative-frequency terms. So, for an 8-point transform, the frequencies of the result are [0, 1, 2, 3, -4, -3, -2, -1]. To rearrange the fft output so that the zero-frequency component is centered, like [-4, -3, -2, -1, 0, 1, 2, 3], use "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "fftshift",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Transforms can be done in single, double, or extended precision (long double) floating point. Half precision inputs will be converted to single precision and non-floating-point inputs will be converted to double precision."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "If the data type of "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is real, a \"real FFT\" algorithm is automatically used, which roughly halves the computation time. To increase efficiency a little further, use "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "rfft",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": ", which does the same calculation, but only outputs half of the symmetrical spectrum. If the data are both real and symmetrical, the "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "dct",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " can again double the efficiency, by generating half of the spectrum from half of the signal."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "When "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "overwrite_x=True"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is specified, the memory referenced by "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " may be used by the implementation in any way. This may include reusing the memory for the result, but this is in no way guaranteed. You should not rely on the contents of "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " after the transform as this may change in future without warning."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "workers"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " argument specifies the maximum number of parallel jobs to split the FFT computation into. This will execute independent 1-D FFTs within "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": ". So, "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " must be at least 2-D and the non-transformed axes must be large enough to split into chunks. If "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "x"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " is too small, fewer jobs may be used than requested."
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Strong",
              "__tag": 4048,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "Array API Standard Support"
                }
              ]
            }
          ]
        },
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "CrossRef",
              "__tag": 4002,
              "value": "fft",
              "reference": {
                "__type": "LocalRef",
                "__tag": 4022,
                "kind": "module",
                "path": "scipy.fft"
              },
              "kind": "module"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable "
            },
            {
              "__type": "InlineCode",
              "__tag": 4051,
              "value": "SCIPY_ARRAY_API=1"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported."
            }
          ]
        },
        {
          "__type": "Code",
          "__tag": 4050,
          "value": "====================  ====================  ====================\nLibrary               CPU                   GPU\n====================  ====================  ====================\nNumPy                 ✅                     n/a                 \nCuPy                  n/a                   ✅                   \nPyTorch               ✅                     ✅                   \nJAX                   ✅                     ✅                   \nDask                  ⚠️ computes graph     n/a                 \n====================  ====================  ====================",
          "execution_status": null
        },
        {
          "__type": "Blockquote",
          "__tag": 4059,
          "children": [
            {
              "__type": "Paragraph",
              "__tag": 4045,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "See "
                },
                {
                  "__type": "InlineRole",
                  "__tag": 4003,
                  "value": "dev-arrayapi",
                  "domain": null,
                  "role": "ref",
                  "inventory": null
                },
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": " for more information."
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Raises": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "",
              "annotation": "IndexError",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "if "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "axes",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is larger than the last axis of "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "x"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Yields": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Methods": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Returns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "out",
              "annotation": "complex ndarray",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The truncated or zero-padded input, transformed along the axis indicated by "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "axis"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ", or the last one if "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "axis"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is not specified."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Compute the 1-D discrete Fourier Transform."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Receives": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warnings": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Attributes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "x",
              "annotation": "array_like",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Input array, can be complex."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "n",
              "annotation": "int, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Length of the transformed axis of the output. If "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "n"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is smaller than the length of the input, the input is cropped. If it is larger, the input is padded with zeros. If "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "n"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is not given, the length of the input along the axis specified by "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "axis"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " is used."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "axis",
              "annotation": "int, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Axis over which to compute the FFT. If not given, the last axis is used."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "norm",
              "annotation": "{\"backward\", \"ortho\", \"forward\"}, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Normalization mode. Default is \"backward\", meaning no normalization on the forward transforms and scaling by "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "1/n"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " on the "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "ifft",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". \"forward\" instead applies the "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "1/n"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " factor on the forward transform. For "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "norm=\"ortho\""
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ", both directions are scaled by "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "1/sqrt(n)"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "."
                    }
                  ]
                },
                {
                  "__type": "Admonition",
                  "__tag": 4056,
                  "kind": "versionadded",
                  "base_type": "neutral",
                  "children": [
                    {
                      "__type": "AdmonitionTitle",
                      "__tag": 4055,
                      "children": [
                        {
                          "__type": "Text",
                          "__tag": 4046,
                          "value": "versionadded 1.6.0"
                        }
                      ]
                    },
                    {
                      "__type": "Paragraph",
                      "__tag": 4045,
                      "children": [
                        {
                          "__type": "InlineCode",
                          "__tag": 4051,
                          "value": "norm={\"forward\", \"backward\"}"
                        },
                        {
                          "__type": "Text",
                          "__tag": 4046,
                          "value": " options were added"
                        }
                      ]
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "overwrite_x",
              "annotation": "bool, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "If True, the contents of "
                    },
                    {
                      "__type": "ParamRef",
                      "__tag": 4071,
                      "name": "x"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " can be destroyed; the default is False. See the notes below for more details."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "workers",
              "annotation": "int, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "Maximum number of workers to use for parallel computation. If negative, the value wraps around from "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "os.cpu_count()"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". See below for more details."
                    }
                  ]
                }
              ]
            },
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "plan",
              "annotation": "object, optional",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "This argument is reserved for passing in a precomputed plan provided by downstream FFT vendors. It is currently not used in SciPy."
                    }
                  ]
                },
                {
                  "__type": "Admonition",
                  "__tag": 4056,
                  "kind": "versionadded",
                  "base_type": "neutral",
                  "children": [
                    {
                      "__type": "AdmonitionTitle",
                      "__tag": 4055,
                      "children": [
                        {
                          "__type": "Text",
                          "__tag": 4046,
                          "value": "versionadded 1.5.0"
                        }
                      ]
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Extended Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "This function computes the 1-D "
            },
            {
              "__type": "Emphasis",
              "__tag": 4047,
              "children": [
                {
                  "__type": "Text",
                  "__tag": 4046,
                  "value": "n"
                }
              ]
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "-point discrete Fourier Transform (DFT) with the efficient Fast Fourier Transform (FFT) algorithm "
            },
            {
              "__type": "FootnoteReference",
              "__tag": 4066,
              "label": "1"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Other Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    }
  },
  "_ordered_sections": [
    "Summary",
    "Extended Summary",
    "Parameters",
    "Attributes",
    "Methods",
    "Returns",
    "Yields",
    "Receives",
    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "/scipy/fft/_basic.py",
  "item_line": 25,
  "item_type": "_Function",
  "aliases": [
    "scipy.fft.fft"
  ],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "import scipy.fft\nimport numpy as np\n",
        "execution_status": "success"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "scipy.fft.fft(np.exp(2j * np.pi * np.arange(8) / 8))\n",
        "execution_status": "failure"
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\nIn this example, real input has an FFT which is Hermitian, i.e., symmetric\nin the real part and anti-symmetric in the imaginary part:\n\n"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "from scipy.fft import fft, fftfreq, fftshift\nimport matplotlib.pyplot as plt\nt = np.arange(256)\nsp = fftshift(fft(np.sin(t)))\nfreq = fftshift(fftfreq(t.shape[-1]))\n",
        "execution_status": "success"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "plt.plot(freq, sp.real, freq, sp.imag)\n",
        "execution_status": "failure"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "plt.show()\n",
        "execution_status": "success"
      },
      {
        "__type": "Figure",
        "__tag": 4024,
        "value": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "scipy",
          "version": "1.17.1",
          "kind": "assets",
          "path": "fig-c5032b0a11de3dca.png"
        }
      }
    ],
    "title": [],
    "level": 0,
    "target": null
  },
  "see_also": [
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "fft2",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "fft2"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The 2-D FFT."
            }
          ]
        }
      ],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "fftfreq",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "fftfreq"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Frequency bins for given FFT parameters."
            }
          ]
        }
      ],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "fftn",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "fftn"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The N-D FFT."
            }
          ]
        }
      ],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "ifft",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "ifft"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The inverse of "
            },
            {
              "__type": "InlineRole",
              "__tag": 4003,
              "value": "fft",
              "domain": null,
              "role": null,
              "inventory": null
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "."
            }
          ]
        }
      ],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "next_fast_len",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "next_fast_len"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Size to pad input to for most efficient transforms"
            }
          ]
        }
      ],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "rfftn",
        "reference": {
          "__type": "RefInfo",
          "__tag": 4000,
          "module": "current-module",
          "version": "current-version",
          "kind": "to-resolve",
          "path": "rfftn"
        },
        "kind": "module"
      },
      "descriptions": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "The N-D FFT of real input."
            }
          ]
        }
      ],
      "type": "func"
    }
  ],
  "signature": {
    "__type": "SignatureNode",
    "__tag": 4029,
    "kind": "function",
    "parameters": [
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "x",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "n",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "axis",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "-1"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "norm",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "overwrite_x",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "False"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "workers",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "plan",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "KEYWORD_ONLY",
        "default": "None"
      }
    ],
    "return_annotation": {
      "__type": "Empty",
      "__tag": 4031
    },
    "target_name": "fft"
  },
  "references": [
    ".. [1] Cooley, James W., and John W. Tukey, 1965, \"An algorithm for the",
    "       machine calculation of complex Fourier series,\" *Math. Comput.*",
    "       19: 297-301.",
    ".. [2] Bluestein, L., 1970, \"A linear filtering approach to the",
    "       computation of discrete Fourier transform\". *IEEE Transactions on",
    "       Audio and Electroacoustics.* 18 (4): 451-455."
  ],
  "qa": "scipy.fft._basic:fft",
  "arbitrary": [],
  "local_refs": [
    "axis",
    "n",
    "norm",
    "out",
    "overwrite_x",
    "plan",
    "workers",
    "x"
  ]
}