numpy.absolute()
numpy.absolute
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numpy.absolute(x[, out]) =
-
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()
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.absolute.html