dpnp.mean

dpnp.mean(x1, axis=None, **kwargs)

Compute the arithmetic mean along the specified axis.

For full documentation refer to numpy.mean.

Limitations

Input array is supported as dpnp.ndarray. Prameters axis is supported only with default value None. Keyword arguments kwargs are currently unsupported. Size of input array is limited by x1.size > 0. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.average

Weighted average.

dpnp.std

Compute the standard deviation along the specified axis.

dpnp.var

Compute the variance along the specified axis.

dpnp.nanmean

Compute the arithmetic mean along the specified axis, ignoring NaNs.

dpnp.nanstd

Compute the standard deviation along the specified axis, while ignoring NaNs.

dpnp.nanvar

Compute the variance along the specified axis, while ignoring NaNs.

Examples

>>> import dpnp as np
>>> a = np.array([[1, 2], [3, 4]])
>>> np.mean(a)
2.5