NumPy | Python Methods and Functions

** **

The ** Bartlett ** window is very similar to the triangular window, except that the endpoints are at zero. It is often used in signal processing to narrow the signal without creating too much ripple in the frequency domain.

Parameters (numpy.bartlett (M)):M: int Number of points in the output window. If zero or less, an empty array is returned.Returns:out:array

Triangular box with maximum value normalized to one (value one appears only if the number of samples is odd), with the first and last samples equal to zero.

** Example :**

` `

` ` ` import `

` numpy as np `

` print `

` (np.bartlett (`

` 12 `

`)) `

** Exit:**

[0. 0.18181818 0.36363636 0.54545455 0.72727273 0.90909091 0.90909091 0.72727273 0.54545455 0.36363636 0.18181818 0.]

** Plotting a window and its frequency response (SciPy and matplotlib required): **

** For a window: **

` import `

` numpy as np `

` import `

` matplotlib.pyplot as plt `

` from `

` numpy.fft `

` import `

` fft, fftshift `

` window `

` = `

` np.bartlett ( `` 51 `

`) `

` ` ` plt.plot (window) `

` plt.title (`

` "Bartlett window" `

`) `

` plt.ylabel (`

` "Amplitude" `

` ) `

` plt.xlabel (`

` "Sample" `

`) `

` plt.show () `

` `

** Exit:**

** For frequency: **

` ` |

**Exit:**

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