numpy.absolute()

numpy.absolute(x[, out]) =

Calculate the absolute value element-wise.

Parameters:

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 $\sqrt{ a^2 + b^2 }$ .

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 $\sqrt{ a^2 + b^2 }$ .

>>> 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()

(png, pdf)

Links:

doc_NumPy

2017-01-10 18:12:34

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