cunumeric.nanprod#

cunumeric.nanprod(a: ndarray, axis: Any = None, dtype: Any = None, out: ndarray | None = None, keepdims: bool = False, initial: int | float | None = None, where: ndarray | None = None) → ndarray#

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

One is returned for slices that are all-NaN or empty.

Parameters:

a (array_like) – Input array.
axis (int, optional) – Axis or axes along which the product is computed. The default is to compute the product of the flattened array.
dtype (data-type, optional) – The type of the returned array and of the accumulator in which the elements are summed. By default, the dtype of a is used. An exception is when a has an integer type with less precision than the platform (u)intp. In that case, the default will be either (u)int32 or (u)int64 depending on whether the platform is 32 or 64 bits. For inexact inputs, dtype must be inexact.
out (ndarray, optional) – Alternate output array in which to place the result. The default is None. If provided, it must have the same shape as the expected output, but the type will be cast if necessary. See Output type determination for more details. The casting of NaN to integer can yield unexpected results.
keepdims (bool, optional) –
If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

If the default value is passed, then keepdims will not be passed through to the prod method of sub-classes of ndarray, however any non-default value will be. If the sub-class’ method does not implement keepdims any exceptions will be raised.
initial (scalar, optional) – The starting value for this product. See ~cunumeric.ufunc.reduce for details.
where (array_like[bool], optional) – Elements to include in the product. See ~cunumeric.ufunc.reduce for details.

Returns:

nanprod – A new array holding the result is returned unless out is specified, in which case it is returned.

Return type:

ndarray, see dtype parameter above.