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# numpy.absolute

`numpy.``absolute`(x[, out])

  Calculate the absolute value element-wise.

  Parameters: | x : array_like Input array.
  Returns: | res : 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(-10, 10, 101)
      >>> plt.plot(x, np.absolute(x))
      >>> plt.show()

  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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