get_window#
- scipy.signal.get_window(window, Nx, fftbins=True, *, xp=None, device=None)[source]#
- Return a window of a given length and type. - Parameters:
- windowstring, float, or tuple
- The type of window to create. See below for more details. 
- Nxint
- The number of samples in the window. 
- fftbinsbool, optional
- If True (default), create a “periodic” window, ready to use with ifftshift and be multiplied by the result of an FFT (see also - fftfreq). If False, create a “symmetric” window, for use in filter design.
- xparray_namespace, optional
- Optional array namespace. Should be compatible with the array API standard, or supported by array-api-compat. Default: - numpy
- device: any
- optional device specification for output. Should match one of the supported device specification in - xp.
 
- Returns:
- get_windowndarray
- Returns a window of length Nx and type window 
 
 - Notes - Window types: 
- kaiser(needs beta)
- kaiser_bessel_derived(needs beta)
- gaussian(needs standard deviation)
- general_cosine(needs weighting coefficients)
- general_gaussian(needs power, width)
- general_hamming(needs window coefficient)
- dpss(needs normalized half-bandwidth)
- chebwin(needs attenuation)
 - 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 - kaiserwindow.- 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([ 0.125, 0.375, 0.625, 0.875, 0.875, 0.625, 0.375]) >>> signal.get_window(('kaiser', 4.0), 9) array([ 0.08848053, 0.29425961, 0.56437221, 0.82160913, 0.97885093, 0.97885093, 0.82160913, 0.56437221, 0.29425961]) >>> signal.get_window(('exponential', None, 1.), 9) array([ 0.011109 , 0.03019738, 0.082085 , 0.22313016, 0.60653066, 0.60653066, 0.22313016, 0.082085 , 0.03019738]) >>> signal.get_window(4.0, 9) array([ 0.08848053, 0.29425961, 0.56437221, 0.82160913, 0.97885093, 0.97885093, 0.82160913, 0.56437221, 0.29425961])