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

Some inconsistencies with the Dask version may exist.

Calculate the absolute value element-wise.

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.

This docstring was copied from numpy.absolute.

Examples

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

>>> x = np.array([-1.2, 1.2])  # doctest: +SKIP
... np.absolute(x)  # doctest: +SKIP
array([ 1.2,  1.2])

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

>>> np.absolute(1.2 + 1j)  # doctest: +SKIP
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  # doctest: +SKIP

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

>>> x = np.linspace(start=-10, stop=10, num=101)  # doctest: +SKIP
... plt.plot(x, np.absolute(x))  # doctest: +SKIP
... plt.show()  # doctest: +SKIP

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]  # doctest: +SKIP
... plt.imshow(np.abs(xx), extent=[-10, 10, -10, 10], cmap='gray')  # doctest: +SKIP
... plt.show()  # doctest: +SKIP

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])  # doctest: +SKIP
... abs(x)  # doctest: +SKIP
array([1.2, 1.2])

See :

Back References

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

dask.array.ufunc.angle dask.array.ufunc.fabs

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