dpnp.log1p

dpnp.log1p(x, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Return the natural logarithm of one plus the input array, element-wise.

For full documentation refer to numpy.log1p.

Returns:: out – The natural logarithm of 1+x, element-wise.
Return type:: dpnp.ndarray

Limitations

Parameter x is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. Parameters where, dtype and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.expm1: exp(x) - 1, the inverse of dpnp.log1p.
dpnp.log: Natural logarithm, element-wise.
dpnp.log10: Return the base 10 logarithm of the input array, element-wise.
dpnp.log2: Return the base 2 logarithm of the input array, element-wise.

Examples

>>> import dpnp as np
>>> x = np.arange(3.)
>>> np.log1p(x)
array([0.0, 0.69314718, 1.09861229])

>>> np.log1p(array(1e-99))
array(1e-99)

>>> np.log(array(1 + 1e-99))
array(0.0)