numpy.absolute — NumPy v1.11 Manual (original) (raw)
numpy.absolute(_x_[, _out_]) = <ufunc 'absolute'>¶
Calculate the absolute value element-wise.
| Parameters: | x : array_like Input array. |
|---|---|
| Returns: | absolute : ndarray An ndarray containing the absolute value of each element in x. For complex input, a + ib, the absolute value is  . |
Examples
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()
