const_ext(x, n, axis=-1)
Generate a new ndarray that is a constant extension of x along an axis.
The extension repeats the values at the first and last element of the axis.
The array to be extended.
The number of elements by which to extend x at each end of the axis.
The axis along which to extend x. Default is -1.
Constant extension at the boundaries of an array
>>> from scipy.signal._arraytools import const_ext
... a = np.array([[1, 2, 3, 4, 5], [0, 1, 4, 9, 16]])
... const_ext(a, 2) array([[ 1, 1, 1, 2, 3, 4, 5, 5, 5], [ 0, 0, 0, 1, 4, 9, 16, 16, 16]])
Constant extension continues with the same values as the endpoints of the array:
>>> t = np.linspace(0, 1.5, 100)
... a = 0.9 * np.sin(2 * np.pi * t**2)
... b = const_ext(a, 40)
... import matplotlib.pyplot as plt
... plt.plot(arange(-40, 140), b, 'b', lw=1, label='constant extension')
... plt.plot(arange(100), a, 'r', lw=2, label='original')
... plt.legend(loc='best')
... plt.show()
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scipy.signal._arraytools.const_ext
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