dpnp.log

dpnp.log(x1, out=None, **kwargs)[source]

Trigonometric logarithm, element-wise.

For full documentation refer to numpy.log.

Limitations

Input array is supported as dpnp.ndarray. Input array data types are limited by supported DPNP Data types.

See also

dpnp.log10: Return the base 10 logarithm of the input array, element-wise.
dpnp.log2: Base-2 logarithm of x.
dpnp.log1p: Return the natural logarithm of one plus the input array, element-wise.

Examples

>>> import numpy
>>> import dpnp as np
>>> x = np.array([1.0, numpy.e, numpy.e**2, 0.0])
>>> out = np.log(x)
>>> [i for i in out]
[0.0, 1.0, 2.0, -inf]