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# scipy.signal.get_window

`scipy.signal.``get_window`(window, Nx, fftbins=True)

  Return a window.

  Parameters: | window : string, float, or tuple The type of window to create. See below for more details. Nx : int The number of samples in the window. fftbins : bool, optional If True, create a “periodic” window ready to use with ifftshift and be multiplied by the result of an fft (SEE ALSO fftfreq).
  Returns: | get_window : ndarray Returns a window of length Nx and type window

  Notes

  Window types:

  > boxcar, triang, blackman, hamming, hann, bartlett, flattop, parzen, bohman, blackmanharris, nuttall, barthann, kaiser (needs beta), gaussian (needs std), general_gaussian (needs power, width), slepian (needs width), chebwin (needs attenuation) exponential (needs decay scale), tukey (needs taper fraction)

  If the window requires no parameters, then window can be a string.

  If the window requires parameters, then window must be a tuple with the first argument the string name of the window, and the next arguments the needed parameters.

  If window is a floating point number, it is interpreted as the beta parameter of the kaiser window.

  Each of the window types listed above is also the name of a function that can be called directly to create a window of that type.

  Examples

      >>> from scipy import signal
      >>> signal.get_window('triang', 7)
      array([ 0.25,  0.5 ,  0.75,  1.  ,  0.75,  0.5 ,  0.25])
      >>> signal.get_window(('kaiser', 4.0), 9)
      array([ 0.08848053,  0.32578323,  0.63343178,  0.89640418,  1.        ,
              0.89640418,  0.63343178,  0.32578323,  0.08848053])
      >>> signal.get_window(4.0, 9)
      array([ 0.08848053,  0.32578323,  0.63343178,  0.89640418,  1.        ,
              0.89640418,  0.63343178,  0.32578323,  0.08848053])