numpy.absolute(x[, out]) =
Calculate the absolute value element-wise.
Parameters: |
x : array_like Input array. |
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Returns: |
absolute : ndarray An ndarray containing the absolute value of each element in |
>>> x = np.array([-1.2, 1.2]) >>> np.absolute(x) array([ 1.2, 1.2]) >>> np.absolute(1.2 + 1j) 1.5620499351813308
Plot the function over [-10, 10]
:
>>> import matplotlib.pyplot as plt
>>> x = np.linspace(start=-10, stop=10, num=101) >>> plt.plot(x, np.absolute(x)) >>> plt.show()
(Source code, png, pdf)
Plot the function over the complex plane:
>>> xx = x + 1j * x[:, np.newaxis] >>> plt.imshow(np.abs(xx), extent=[-10, 10, -10, 10]) >>> plt.show()
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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.absolute.html