dpnp.var

dpnp.var(x1, axis=None, dtype=None, out=None, ddof=0, keepdims=False)[source]

Compute the variance along the specified axis.

For full documentation refer to numpy.var.

Limitations

Input array is supported as dpnp.ndarray. Size of input array is limited by a.size > 0. Prameters axis is supported only with default value None. Prameters dtype is supported only with default value None. Prameters out is supported only with default value None. Prameters keepdims is supported only with default value numpy._NoValue. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.std: Compute the standard deviation along the specified axis.
dpnp.mean: Compute the arithmetic mean 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.var(a)
1.25