absolute(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

np.abs is a shorthand for this function.

Parameters

x : array_like

Input array.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where : array_like, optional

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

absolute : ndarray

An ndarray containing the absolute value of each element in x. For complex input, a + ib , the absolute value is $\sqrt{ a^2 + b^2 }$ . This is a scalar if x is a scalar.

Calculate the absolute value element-wise.

Examples

This example is valid syntax, but we were not able to check execution

>>> x = np.array([-1.2, 1.2])
... np.absolute(x)
array([ 1.2,  1.2])

This example is valid syntax, but we were not able to check execution

>>> np.absolute(1.2 + 1j)
1.5620499351813308

Plot the function over [-10, 10] :

This example is valid syntax, but we were not able to check execution

>>> import matplotlib.pyplot as plt

This example is valid syntax, but we were not able to check execution

>>> x = np.linspace(start=-10, stop=10, num=101)
... plt.plot(x, np.absolute(x))
... plt.show()

Plot the function over the complex plane:

This example is valid syntax, but we were not able to check execution

>>> xx = x + 1j * x[:, np.newaxis]
... plt.imshow(np.abs(xx), extent=[-10, 10, -10, 10], cmap='gray')
... plt.show()

The :None:None:`abs` function can be used as a shorthand for np.absolute on ndarrays.

This example is valid syntax, but we were not able to check execution

>>> x = np.array([-1.2, 1.2])
... abs(x)
array([1.2, 1.2])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.angle numpy.ma.core.fabs numpy.ma.core.angle

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SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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GitHub : /numpy/ma/core.py#None
type: <class 'numpy.ma.core._MaskedUnaryOperation'>
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