dpnp.log10

dpnp.log10(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes the base-10 logarithm for each element x_i of input array x.

For full documentation refer to numpy.log10.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have numeric data type.

  • out ({None, dpnp.ndarray, usm_ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type. Default: None.

  • order ({None, "C", "F", "A", "K"}, optional) -- Memory layout of the newly output array, if parameter out is None. Default: "K".

Returns:

out -- An array containing the element-wise base-10 logarithm of x. The data type of the returned array is determined by the Type Promotion Rules.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise NotImplementedError exception will be raised.

See also

dpnp.log

Natural logarithm, element-wise.

dpnp.log2

Return the base-2 logarithm of the input array, element-wise.

dpnp.log1p

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

Examples

>>> import dpnp as np
>>> x = np.arange(3.)
>>> np.log10(x)
array([-inf, 0.0, 0.30102999566])

>>> np.log10(np.array([1e-15, -3.]))
array([-15.,  nan])