scipy.signal.get_window

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

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.

Returns:

get_windowndarray

Returns a window of length Nx and type window

Notes

Window types:

• boxcar

• triang

• blackman

• hamming

• hann

• bartlett

• flattop

• parzen

• bohman

• blackmanharris

• nuttall

• barthann

• cosine

• exponential

• tukey

• taylor

• lanczos

• 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 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([ 0.125,  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])