dpnp.nanprod

dpnp.nanprod(a, axis=None, dtype=None, out=None, keepdims=False, initial=None, where=True)[source]

Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.

For full documentation refer to numpy.nanprod.

Returns:: out – A new array holding the result is returned unless out is specified, in which case it is returned.
Return type:: dpnp.ndarray

See also

dpnp.prod: Returns product across array propagating NaNs.
dpnp.isnan: Test element-wise for NaN and return result as a boolean array.

Limitations

Input array is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. Parameters initial, and where are only supported with their default values. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

Examples

>>> import dpnp as np
>>> np.nanprod(np.array(1))
array(1)
>>> np.nanprod(np.array([1]))
array(1)
>>> np.nanprod(np.array([1, np.nan]))
array(1.0)
>>> a = np.array([[1, 2], [3, np.nan]])
>>> np.nanprod(a)
array(6.0)
>>> np.nanprod(a, axis=0)
array([3., 2.])