bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / signal / windows / _windows / triang
function
scipy.signal.windows._windows:triang
source: build-install/usr/lib/python3.14/site-packages/scipy/signal/windows/_windows.py:294
Signature
def triang(M, sym = True, *, xp = None, device = None)Summary
Return a triangular window.
Parameters
M: intNumber of points in the output window. If zero, an empty array is returned. An exception is thrown when it is negative.
sym: bool, optionalWhen True (default), generates a symmetric window, for use in filter design. When False, generates a periodic window, for use in spectral analysis.
xp: array_namespace, optionalOptional array namespace. Should be compatible with the array API standard, or supported by array-api-compat. Default:
numpydevice: anyoptional device specification for output. Should match one of the supported device specification in
xp.
Returns
w: ndarrayThe window, with the maximum value normalized to 1 (though the value 1 does not appear if
Mis even andsymis True).
Examples
Plot the window and its frequency response:import numpy as np from scipy import signal from scipy.fft import fft, fftshift import matplotlib.pyplot as plt✓
window = signal.windows.triang(51)
✓plt.plot(window) plt.title("Triangular window") plt.ylabel("Amplitude") plt.xlabel("Sample")✗
Text(0.5, 0, 'Sample')
plt.figure()
✗<Figure size 640x480 with 0 Axes>
A = fft(window, 2048) / (len(window)/2.0) freq = np.linspace(-0.5, 0.5, len(A)) response = np.abs(fftshift(A / abs(A).max())) response = 20 * np.log10(np.maximum(response, 1e-10))✓
plt.plot(freq, response) plt.axis([-0.5, 0.5, -120, 0]) plt.title("Frequency response of the triangular window") plt.ylabel("Normalized magnitude [dB]") plt.xlabel("Normalized frequency [cycles per sample]")✗
Text(0.5, 0, 'Normalized frequency [cycles per sample]')
See also
- bartlett
A triangular window that touches zero
Aliases
scipy.signal.windows.triang